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Online Classroom - NYCDSA HOUSE PRICE PREDICTION USING MACHINE LEARNING BEATING THE SCAM: IDENTIFYING MEDICARE FRAUD THROUGH Overview Losses due to Medicare fraud in the United States are estimated to inflate public health expenditures from between 3 and 10%. This means that up to $300 billion is misappropriated from Medicare patients into the hands of criminals on an annual basis. Despite extensive efforts from state and federal law enforcement, onlya fraction
PREDICTION OF CREDIT DEFAULT RISK PREDICTING HORSE RACING OUTCOMES BETTING ON HORSE RACING The data set consisted of 81 different features. The objective of this capstone project was to: 1) create a a model to predict the probability of a given horse in a given race winning said race; and. 2) use the probabilities outputted by our model to create a betting strategy to maximize our ROI based on a $100,000 betting bankroll whenback
TWO WAYS OF SCRAPING JOB LISTINGS NYC DATA SCIENCE ACADEMYVIEW PROFESSIONAL DEVELOPMENT COURSESINTRODUCTORY PYTHONDATA SCIENCE WITH TABLEAU NYC Data Science Academy teaches data science, trains companies and their employees to better profit from data, excels at big data project consulting, and connects trained Data Scientists to our industry. NYC Data Science Academy is licensed by New York State Education Department. Get detailed curriculum information about our. MACHINE LEARNING APPLICATIONS FOR SEMICONDUCTOR Semiconductor processes are arguably the most complex manufacturing processes today and provide the physical backbone of technology. A well-controlled process leads to high yield, high throughput, and low product variability. However, this is difficult to achieve because of the large number of parameters that interact with each other. Deciding what parameters should be in order ABNORMALITY DETECTION IN MAMMOGRAPHY USING DEEP LEARNINGSEE MORE ONNYCDATASCIENCE.COM
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Online Classroom - NYCDSA HOUSE PRICE PREDICTION USING MACHINE LEARNING BEATING THE SCAM: IDENTIFYING MEDICARE FRAUD THROUGH Overview Losses due to Medicare fraud in the United States are estimated to inflate public health expenditures from between 3 and 10%. This means that up to $300 billion is misappropriated from Medicare patients into the hands of criminals on an annual basis. Despite extensive efforts from state and federal law enforcement, onlya fraction
PREDICTION OF CREDIT DEFAULT RISK PREDICTING HORSE RACING OUTCOMES BETTING ON HORSE RACING The data set consisted of 81 different features. The objective of this capstone project was to: 1) create a a model to predict the probability of a given horse in a given race winning said race; and. 2) use the probabilities outputted by our model to create a betting strategy to maximize our ROI based on a $100,000 betting bankroll whenback
TWO WAYS OF SCRAPING JOB LISTINGSONLINE CLASSROOM
Online Classroom - NYCDSA ONLINE LEARNING -UDEMY WEB SCRAPING Introduction: Udemy is an online learning platform for students and professionals. Udemy has more than 50 million students and 57,000 instructors who teach courses in over 65 languages. The company has more than 100,000 online courses available on desktops, laptops and mobile devices through its Android and iOS apps. Users can study anytopic at
PROJECT 1: ANALYSIS OF LENDING CLUB'S DATA Contributed by Jean-Francois Darre. Jean took NYC Data Science Academy 12 week full time Data Science Bootcamp program between Sept 23 to Dec 18, 2015. The post was based on his first class project(due at 2nd week of the program). Check out the full report here! You will find all the details of the code behind the analysis and the OLYMPIC GAMES DATA VISUALIZATION Olympic Games Data Visualization. This Shiny App is an exploratory visualization of data from 120 years of the Olympic Games. Users can view world maps detailing country medals and host cities as well as select a country and dive into graphs explaining its Olympic history. The data spans from 1896 to 2016 covering the following categories: PORTFOLIO OPTIMIZATION Introduction The main motivation behind this web scraping project is based on Modern Portfolio Theory (MPT), a quantitative framework applied to investment portfolios that optimizes the relationship between risk vs. reward. This financial theory was founded by Harry Markowitz in the 1950s, and at the time, mathematics were severely underused in the economic WHICH NYC PUBLIC SCHOOLS SCORE HIGHEST ON THE SAT? SATs show schools how prepared students are for college by measuring key skills. The purpose of this article is to identify, through exploratory analysis and predictive models which public schools score the highest/lowest on the SAT and what characteristics differentiatetop
PREDICTING HOUSE PRICES WITH MACHINE LEARNING ALGORITHMS Intuitively, which of the four houses in the picture do you think is the most expensive? Most people will say the blue one on the right, because it is the biggest and the newest. However, you might have a different answer after reading this blog post and discover a MACHINE LEARNING PROJECT: AMES HOUSING DATASET Introduction and Background The Ames Housing Dataset was introduced by Professor Dean De Cock in 2011 as an alternative to the Boston Housing Dataset (Harrison and Rubinfeld, 1978). It contains 2,919 observations of housing sales in Ames, Iowa between 2006 and 2010. There are 23 nominal, 23 ordinal, 14 discrete, and 20 continuous featuresdescribing
HOUSING PRICES PREDICTION USING MACHINE LEARNING The average price of the installation of Composite Shingle Roof for the 1500 sq.ft size house will is - $5,500. At the same time, the installation of the Wood Shingle roof, for the house of the same size, will cost, on average, $9,000, but at the same time, it IDENTIFYING "FAKE NEWS" WITH NLP Fake news is a type of yellow journalism or propaganda that consists of purposeful misinformation. It has traditionally been spread through print and broadcast mediums, but with the rise of social media, it can now be disseminated virally. As a result, large technology companies have begun to take steps to address this trend. NYC DATA SCIENCE ACADEMYVIEW PROFESSIONAL DEVELOPMENT COURSESINTRODUCTORY PYTHONDATA SCIENCE WITH TABLEAU NYC Data Science Academy offers immersive data science bootcamp, onsite and remote data science courses, corporate training, career development, and consulting. MACHINE LEARNING APPLICATIONS FOR SEMICONDUCTOR Semiconductor processes are arguably the most complex manufacturing processes today and provide the physical backbone of technology. A well-controlled process leads to high yield, high throughput, and low product variability. However, this is difficult to achieve because of the large number of parameters that interact with each other. Deciding what parameters should be in order ABNORMALITY DETECTION IN MAMMOGRAPHY USING DEEP LEARNINGSEE MORE ONNYCDATASCIENCE.COM
OLYMPIC GAMES DATA VISUALIZATION BETTING ON HORSE RACING VI. Team. This capstone project was completed by Basant Dhital, Tristan Dresbach, Jiwon Cha, SangYeon Choi, and Karim Zaatary incollaboration with
PREDICTION OF CREDIT DEFAULT RISK PORTFOLIO OPTIMIZATION Introduction The main motivation behind this web scraping project is based on Modern Portfolio Theory (MPT), a quantitative framework applied to investment portfolios that optimizes the relationship between risk vs. reward. This financial theory was founded by Harry Markowitz in the 1950s, and at the time, mathematics were severely underused in the economic E-COMMERCE DATA ANALYSIS OF LOCKS AND SAFES Introduction: For this capstone project, we were given an opportunity to conduct an e-commerce data analysis for MasterLock. MasterLock’s main objective was to use e-commerce data analysis to design strategies that would increase their products sales. Our task was to scrape customer reviews and product/website details from e-commerce sources that sold MasterLock's products. WHO ACTUALLY OWNS S&P 500? What are some of the biggest firms in United States of America that come to your mind? Apple? Google? Amazon? and likes right? But have we thought how big these firms really are? For instance, let's take Apple. According to Investopedia Apple's market capital in 2017, was greater than some of the countries GDPs. (ref) TWO WAYS OF SCRAPING JOB LISTINGS NYC DATA SCIENCE ACADEMYVIEW PROFESSIONAL DEVELOPMENT COURSESINTRODUCTORY PYTHONDATA SCIENCE WITH TABLEAU NYC Data Science Academy offers immersive data science bootcamp, onsite and remote data science courses, corporate training, career development, and consulting. MACHINE LEARNING APPLICATIONS FOR SEMICONDUCTOR Semiconductor processes are arguably the most complex manufacturing processes today and provide the physical backbone of technology. A well-controlled process leads to high yield, high throughput, and low product variability. However, this is difficult to achieve because of the large number of parameters that interact with each other. Deciding what parameters should be in order ABNORMALITY DETECTION IN MAMMOGRAPHY USING DEEP LEARNINGSEE MORE ONNYCDATASCIENCE.COM
OLYMPIC GAMES DATA VISUALIZATION BETTING ON HORSE RACING VI. Team. This capstone project was completed by Basant Dhital, Tristan Dresbach, Jiwon Cha, SangYeon Choi, and Karim Zaatary incollaboration with
PREDICTION OF CREDIT DEFAULT RISK PORTFOLIO OPTIMIZATION Introduction The main motivation behind this web scraping project is based on Modern Portfolio Theory (MPT), a quantitative framework applied to investment portfolios that optimizes the relationship between risk vs. reward. This financial theory was founded by Harry Markowitz in the 1950s, and at the time, mathematics were severely underused in the economic E-COMMERCE DATA ANALYSIS OF LOCKS AND SAFES Introduction: For this capstone project, we were given an opportunity to conduct an e-commerce data analysis for MasterLock. MasterLock’s main objective was to use e-commerce data analysis to design strategies that would increase their products sales. Our task was to scrape customer reviews and product/website details from e-commerce sources that sold MasterLock's products. WHO ACTUALLY OWNS S&P 500? What are some of the biggest firms in United States of America that come to your mind? Apple? Google? Amazon? and likes right? But have we thought how big these firms really are? For instance, let's take Apple. According to Investopedia Apple's market capital in 2017, was greater than some of the countries GDPs. (ref) TWO WAYS OF SCRAPING JOB LISTINGS NYC DATA SCIENCE ACADEMY NYC Data Science Academy offers immersive data science bootcamp, onsite and remote data science courses, corporate training, career development, and consulting. ONLINE LEARNING -UDEMY WEB SCRAPING Introduction: Udemy is an online learning platform for students and professionals. Udemy has more than 50 million students and 57,000 instructors who teach courses in over 65 languages. The company has more than 100,000 online courses available on desktops, laptops and mobile devices through its Android and iOS apps. Users can study anytopic at
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Online Classroom - NYCDSA PREDICTION OF CREDIT DEFAULT RISK The most important task for any lender is to predict the probability of default for a borrower. An accurate prediction can help in balancing risk and return for the lender; charging higher rates for higher risks, or even denying the loan when required. This helps genuine borrowers also BEATING THE SCAM: IDENTIFYING MEDICARE FRAUD THROUGH Overview Losses due to Medicare fraud in the United States are estimated to inflate public health expenditures from between 3 and 10%. This means that up to $300 billion is misappropriated from Medicare patients into the hands of criminals on an annual basis. Despite extensive efforts from state and federal law enforcement, onlya fraction
PREDICTING HORSE RACING OUTCOMES Background The horse racing community has been using quantitative data to develop betting algorithms for decades. Indicators including horse bodyweight, age, and previous lap times are all utilized along with the domain-specific Speed Index to predict future race outcomes. Our team was asked to answer a new question in horse racing: Can subjective data taken IDENTIFYING "FAKE NEWS" WITH NLP Introduction What is fake news? We’ve all heard of it, but it is not always easy to identify. Fake news is a type of yellow journalism or propaganda that consists of purposeful misinformation. It has traditionally been spread through print and broadcast mediums, but with the rise of social media, it can now be disseminated SQUARING A SORTED ARRAY IN PYTHON Given a sorted list of integers, square the elements and give the output in sorted order. Let's take a look at a very straightforward solution first: While this solution is correct, it takes up additional space because the sorted function makes a copy of our original list.This could be
WHO ACTUALLY OWNS S&P 500? What are some of the biggest firms in United States of America that come to your mind? Apple? Google? Amazon? and likes right? But have we thought how big these firms really are? For instance, let's take Apple. According to Investopedia Apple's market capital in 2017, was greater than some of the countries GDPs. (ref) PREDICTING HOUSING PRICES IN AMES, IOWA Background There are many qualities of a residential home that determine its worth and price outside of just the number of rooms and square footage. Taking a closer look at 81 residential variables from Ames, Iowa between 2006 to 2010, we were able to use various machine learning methods to determine features of a home BEATING THE SCAM: IDENTIFYING MEDICARE FRAUD THROUGH Overview Losses due to Medicare fraud in the United States are estimated to inflate public health expenditures from between 3 and 10%. This means that up to $300 billion is misappropriated from Medicare patients into the hands of criminals on an annual basis. Despite extensive efforts from state and federal law enforcement, onlya fraction
PREDICTING HOME PRICES VIA PYTHON The Challenge. We were tasked with predicting the final price of the 1,459 homes in the “test” dataset by training a machine learning model on the “train” dataset. The overall accuracy of our predictions was measured by Kaggle, which had the true prices for the homes in the “test” dataset. Below, we lay out the framework forhow we
OLYMPIC GAMES DATA VISUALIZATION PORTFOLIO OPTIMIZATION Introduction The main motivation behind this web scraping project is based on Modern Portfolio Theory (MPT), a quantitative framework applied to investment portfolios that optimizes the relationship between risk vs. reward. This financial theory was founded by Harry Markowitz in the 1950s, and at the time, mathematics were severely underused in the economic ABNORMALITY DETECTION IN MAMMOGRAPHY USING DEEP LEARNINGSEE MORE ONNYCDATASCIENCE.COM
BETTING ON HORSE RACING The data set consisted of 81 different features. The objective of this capstone project was to: 1) create a a model to predict the probability of a given horse in a given race winning said race; and. 2) use the probabilities outputted by our model to create a betting strategy to maximize our ROI based on a $100,000 betting bankroll whenback
TWO WAYS OF SCRAPING JOB LISTINGS E-COMMERCE DATA ANALYSIS OF LOCKS AND SAFES Introduction: For this capstone project, we were given an opportunity to conduct an e-commerce data analysis for MasterLock. MasterLock’s main objective was to use e-commerce data analysis to design strategies that would increase their products sales. Our task was to scrape customer reviews and product/website details from e-commerce sources that sold MasterLock's products. WHO ACTUALLY OWNS S&P 500? Above graph clearly shows, how some handful institutions almost own most of the S&P500 companies. Their investment share just in S&P 500 is so high, that it I wanted to see what is their total asset under management (their total worth). In the graph above, I tried to compare AUM of these investment firms and some of the top world GDPs.SCRAPING VRBO.COM
Introduction For my web scraping project, I decided to scrap a website named Vrbo for renting places to people when they are on vacation. Vacation Rental By Owner(Vrbo) is a site that allows you to find rentals of all kinds of choices for your vacation, including houses, apartments, condos, villas, etc. It was originally found in BEATING THE SCAM: IDENTIFYING MEDICARE FRAUD THROUGH Overview Losses due to Medicare fraud in the United States are estimated to inflate public health expenditures from between 3 and 10%. This means that up to $300 billion is misappropriated from Medicare patients into the hands of criminals on an annual basis. Despite extensive efforts from state and federal law enforcement, onlya fraction
PREDICTING HOME PRICES VIA PYTHON The Challenge. We were tasked with predicting the final price of the 1,459 homes in the “test” dataset by training a machine learning model on the “train” dataset. The overall accuracy of our predictions was measured by Kaggle, which had the true prices for the homes in the “test” dataset. Below, we lay out the framework forhow we
OLYMPIC GAMES DATA VISUALIZATION PORTFOLIO OPTIMIZATION Introduction The main motivation behind this web scraping project is based on Modern Portfolio Theory (MPT), a quantitative framework applied to investment portfolios that optimizes the relationship between risk vs. reward. This financial theory was founded by Harry Markowitz in the 1950s, and at the time, mathematics were severely underused in the economic ABNORMALITY DETECTION IN MAMMOGRAPHY USING DEEP LEARNINGSEE MORE ONNYCDATASCIENCE.COM
BETTING ON HORSE RACING The data set consisted of 81 different features. The objective of this capstone project was to: 1) create a a model to predict the probability of a given horse in a given race winning said race; and. 2) use the probabilities outputted by our model to create a betting strategy to maximize our ROI based on a $100,000 betting bankroll whenback
TWO WAYS OF SCRAPING JOB LISTINGS E-COMMERCE DATA ANALYSIS OF LOCKS AND SAFES Introduction: For this capstone project, we were given an opportunity to conduct an e-commerce data analysis for MasterLock. MasterLock’s main objective was to use e-commerce data analysis to design strategies that would increase their products sales. Our task was to scrape customer reviews and product/website details from e-commerce sources that sold MasterLock's products. WHO ACTUALLY OWNS S&P 500? Above graph clearly shows, how some handful institutions almost own most of the S&P500 companies. Their investment share just in S&P 500 is so high, that it I wanted to see what is their total asset under management (their total worth). In the graph above, I tried to compare AUM of these investment firms and some of the top world GDPs.SCRAPING VRBO.COM
Introduction For my web scraping project, I decided to scrap a website named Vrbo for renting places to people when they are on vacation. Vacation Rental By Owner(Vrbo) is a site that allows you to find rentals of all kinds of choices for your vacation, including houses, apartments, condos, villas, etc. It was originally found in NYC DATA SCIENCE ACADEMY NYC Data Science Academy teaches data science, trains companies and their employees to better profit from data, excels at big data project consulting, and connects trained Data Scientists to our industry. NYC Data Science Academy is licensed by New York State Education Department. Get detailed curriculum information about our. OLYMPIC GAMES DATA VISUALIZATION Olympic Games Data Visualization. This Shiny App is an exploratory visualization of data from 120 years of the Olympic Games. Users can view world maps detailing country medals and host cities as well as select a country and dive into graphs explaining its Olympic history. The data spans from 1896 to 2016 covering the following categories:ONLINE CLASSROOM
Online Classroom - NYCDSA WHICH NYC PUBLIC SCHOOLS SCORE HIGHEST ON THE SAT? SATs show schools how prepared students are for college by measuring key skills. The purpose of this article is to identify, through exploratory analysis and predictive models which public schools score the highest/lowest on the SAT and what characteristics differentiatetop
PREDICTING HORSE RACING OUTCOMES Background The horse racing community has been using quantitative data to develop betting algorithms for decades. Indicators including horse bodyweight, age, and previous lap times are all utilized along with the domain-specific Speed Index to predict future race outcomes. Our team was asked to answer a new question in horse racing: Can subjective data taken SQUARING A SORTED ARRAY IN PYTHON Given a sorted list of integers, square the elements and give the output in sorted order. Let's take a look at a very straightforward solution first: While this solution is correct, it takes up additional space because the sorted function makes a copy of our original list.This could be
JESSE EGOAVIL
Currently, I am a Data Science Fellow at NYC Data Science Academy! I hope to grow and be able to provide impactful, data-driven stories. IDENTIFYING "FAKE NEWS" WITH NLP Fake news is a type of yellow journalism or propaganda that consists of purposeful misinformation. It has traditionally been spread through print and broadcast mediums, but with the rise of social media, it can now be disseminated virally. As a result, large technology companies have begun to take steps to address this trend. WHO ACTUALLY OWNS S&P 500? Above graph clearly shows, how some handful institutions almost own most of the S&P500 companies. Their investment share just in S&P 500 is so high, that it I wanted to see what is their total asset under management (their total worth). In the graph above, I tried to compare AUM of these investment firms and some of the top world GDPs. EXPLORATORY VISUALIZATION OF AMAZON FINE FOOD REVIEWS Contributed by Rob Castellano. He is currently in the NYC Data Science Academy 12 week full time Data Science Bootcamp program taking place between April 11th to July 1st, 2016. This post is based on his first class project - R visualization (due on the 2nd week of the program). Amazon reviews are often the most publicly visible reviews of consumerproducts.
BEATING THE SCAM: IDENTIFYING MEDICARE FRAUD THROUGH Overview Losses due to Medicare fraud in the United States are estimated to inflate public health expenditures from between 3 and 10%. This means that up to $300 billion is misappropriated from Medicare patients into the hands of criminals on an annual basis. Despite extensive efforts from state and federal law enforcement, onlya fraction
PREDICTING HOME PRICES VIA PYTHON The Challenge. We were tasked with predicting the final price of the 1,459 homes in the “test” dataset by training a machine learning model on the “train” dataset. The overall accuracy of our predictions was measured by Kaggle, which had the true prices for the homes in the “test” dataset. Below, we lay out the framework forhow we
OLYMPIC GAMES DATA VISUALIZATION PORTFOLIO OPTIMIZATION Introduction The main motivation behind this web scraping project is based on Modern Portfolio Theory (MPT), a quantitative framework applied to investment portfolios that optimizes the relationship between risk vs. reward. This financial theory was founded by Harry Markowitz in the 1950s, and at the time, mathematics were severely underused in the economic ABNORMALITY DETECTION IN MAMMOGRAPHY USING DEEP LEARNINGSEE MORE ONNYCDATASCIENCE.COM
BETTING ON HORSE RACING The data set consisted of 81 different features. The objective of this capstone project was to: 1) create a a model to predict the probability of a given horse in a given race winning said race; and. 2) use the probabilities outputted by our model to create a betting strategy to maximize our ROI based on a $100,000 betting bankroll whenback
TWO WAYS OF SCRAPING JOB LISTINGS E-COMMERCE DATA ANALYSIS OF LOCKS AND SAFES Introduction: For this capstone project, we were given an opportunity to conduct an e-commerce data analysis for MasterLock. MasterLock’s main objective was to use e-commerce data analysis to design strategies that would increase their products sales. Our task was to scrape customer reviews and product/website details from e-commerce sources that sold MasterLock's products. WHO ACTUALLY OWNS S&P 500? Above graph clearly shows, how some handful institutions almost own most of the S&P500 companies. Their investment share just in S&P 500 is so high, that it I wanted to see what is their total asset under management (their total worth). In the graph above, I tried to compare AUM of these investment firms and some of the top world GDPs.SCRAPING VRBO.COM
Introduction For my web scraping project, I decided to scrap a website named Vrbo for renting places to people when they are on vacation. Vacation Rental By Owner(Vrbo) is a site that allows you to find rentals of all kinds of choices for your vacation, including houses, apartments, condos, villas, etc. It was originally found in BEATING THE SCAM: IDENTIFYING MEDICARE FRAUD THROUGH Overview Losses due to Medicare fraud in the United States are estimated to inflate public health expenditures from between 3 and 10%. This means that up to $300 billion is misappropriated from Medicare patients into the hands of criminals on an annual basis. Despite extensive efforts from state and federal law enforcement, onlya fraction
PREDICTING HOME PRICES VIA PYTHON The Challenge. We were tasked with predicting the final price of the 1,459 homes in the “test” dataset by training a machine learning model on the “train” dataset. The overall accuracy of our predictions was measured by Kaggle, which had the true prices for the homes in the “test” dataset. Below, we lay out the framework forhow we
OLYMPIC GAMES DATA VISUALIZATION PORTFOLIO OPTIMIZATION Introduction The main motivation behind this web scraping project is based on Modern Portfolio Theory (MPT), a quantitative framework applied to investment portfolios that optimizes the relationship between risk vs. reward. This financial theory was founded by Harry Markowitz in the 1950s, and at the time, mathematics were severely underused in the economic ABNORMALITY DETECTION IN MAMMOGRAPHY USING DEEP LEARNINGSEE MORE ONNYCDATASCIENCE.COM
BETTING ON HORSE RACING The data set consisted of 81 different features. The objective of this capstone project was to: 1) create a a model to predict the probability of a given horse in a given race winning said race; and. 2) use the probabilities outputted by our model to create a betting strategy to maximize our ROI based on a $100,000 betting bankroll whenback
TWO WAYS OF SCRAPING JOB LISTINGS E-COMMERCE DATA ANALYSIS OF LOCKS AND SAFES Introduction: For this capstone project, we were given an opportunity to conduct an e-commerce data analysis for MasterLock. MasterLock’s main objective was to use e-commerce data analysis to design strategies that would increase their products sales. Our task was to scrape customer reviews and product/website details from e-commerce sources that sold MasterLock's products. WHO ACTUALLY OWNS S&P 500? Above graph clearly shows, how some handful institutions almost own most of the S&P500 companies. Their investment share just in S&P 500 is so high, that it I wanted to see what is their total asset under management (their total worth). In the graph above, I tried to compare AUM of these investment firms and some of the top world GDPs.SCRAPING VRBO.COM
Introduction For my web scraping project, I decided to scrap a website named Vrbo for renting places to people when they are on vacation. Vacation Rental By Owner(Vrbo) is a site that allows you to find rentals of all kinds of choices for your vacation, including houses, apartments, condos, villas, etc. It was originally found in NYC DATA SCIENCE ACADEMY NYC Data Science Academy teaches data science, trains companies and their employees to better profit from data, excels at big data project consulting, and connects trained Data Scientists to our industry. NYC Data Science Academy is licensed by New York State Education Department. Get detailed curriculum information about our. OLYMPIC GAMES DATA VISUALIZATION Olympic Games Data Visualization. This Shiny App is an exploratory visualization of data from 120 years of the Olympic Games. Users can view world maps detailing country medals and host cities as well as select a country and dive into graphs explaining its Olympic history. The data spans from 1896 to 2016 covering the following categories:ONLINE CLASSROOM
Online Classroom - NYCDSA WHICH NYC PUBLIC SCHOOLS SCORE HIGHEST ON THE SAT? SATs show schools how prepared students are for college by measuring key skills. The purpose of this article is to identify, through exploratory analysis and predictive models which public schools score the highest/lowest on the SAT and what characteristics differentiatetop
PREDICTING HORSE RACING OUTCOMES Background The horse racing community has been using quantitative data to develop betting algorithms for decades. Indicators including horse bodyweight, age, and previous lap times are all utilized along with the domain-specific Speed Index to predict future race outcomes. Our team was asked to answer a new question in horse racing: Can subjective data taken SQUARING A SORTED ARRAY IN PYTHON Given a sorted list of integers, square the elements and give the output in sorted order. Let's take a look at a very straightforward solution first: While this solution is correct, it takes up additional space because the sorted function makes a copy of our original list.This could be
JESSE EGOAVIL
Currently, I am a Data Science Fellow at NYC Data Science Academy! I hope to grow and be able to provide impactful, data-driven stories. IDENTIFYING "FAKE NEWS" WITH NLP Fake news is a type of yellow journalism or propaganda that consists of purposeful misinformation. It has traditionally been spread through print and broadcast mediums, but with the rise of social media, it can now be disseminated virally. As a result, large technology companies have begun to take steps to address this trend. WHO ACTUALLY OWNS S&P 500? Above graph clearly shows, how some handful institutions almost own most of the S&P500 companies. Their investment share just in S&P 500 is so high, that it I wanted to see what is their total asset under management (their total worth). In the graph above, I tried to compare AUM of these investment firms and some of the top world GDPs. EXPLORATORY VISUALIZATION OF AMAZON FINE FOOD REVIEWS Contributed by Rob Castellano. He is currently in the NYC Data Science Academy 12 week full time Data Science Bootcamp program taking place between April 11th to July 1st, 2016. This post is based on his first class project - R visualization (due on the 2nd week of the program). Amazon reviews are often the most publicly visible reviews of consumerproducts.
ONLINE | NYC DATA SCIENCE ACADEMYNEW YORK DATA SCIENCE ACADEMYNYC DATA SCIENCE ACADEMY REVIEWINTERESTING DATA SCIENCE PROJECTS All-in-one learning platform. Our all-in-one data science learning platform allows you to code directly from your browser and get immediate feedback without leaving the workspace. You also have access to our large and growing range of datasets and lecture code which allow you to practice in a real coding environment. Mentor. BEATING THE SCAM: IDENTIFYING MEDICARE FRAUD THROUGH Overview Losses due to Medicare fraud in the United States are estimated to inflate public health expenditures from between 3 and 10%. This means that up to $300 billion is misappropriated from Medicare patients into the hands of criminals on an annual basis. Despite extensive efforts from state and federal law enforcement, onlya fraction
PREDICTING HOME PRICES VIA PYTHON The Challenge. We were tasked with predicting the final price of the 1,459 homes in the “test” dataset by training a machine learning model on the “train” dataset. The overall accuracy of our predictions was measured by Kaggle, which had the true prices for the homes in the “test” dataset. Below, we lay out the framework forhow we
TWO WAYS OF SCRAPING JOB LISTINGS PORTFOLIO OPTIMIZATION Introduction The main motivation behind this web scraping project is based on Modern Portfolio Theory (MPT), a quantitative framework applied to investment portfolios that optimizes the relationship between risk vs. reward. This financial theory was founded by Harry Markowitz in the 1950s, and at the time, mathematics were severely underused in the economic PREDICTION OF CREDIT DEFAULT RISK BETTING ON HORSE RACING The data set consisted of 81 different features. The objective of this capstone project was to: 1) create a a model to predict the probability of a given horse in a given race winning said race; and. 2) use the probabilities outputted by our model to create a betting strategy to maximize our ROI based on a $100,000 betting bankroll whenback
ABNORMALITY DETECTION IN MAMMOGRAPHY USING DEEP LEARNINGSEE MORE ONNYCDATASCIENCE.COM
E-COMMERCE DATA ANALYSIS OF LOCKS AND SAFES Introduction: For this capstone project, we were given an opportunity to conduct an e-commerce data analysis for MasterLock. MasterLock’s main objective was to use e-commerce data analysis to design strategies that would increase their products sales. Our task was to scrape customer reviews and product/website details from e-commerce sources that sold MasterLock's products.SCRAPING VRBO.COM
Introduction For my web scraping project, I decided to scrap a website named Vrbo for renting places to people when they are on vacation. Vacation Rental By Owner(Vrbo) is a site that allows you to find rentals of all kinds of choices for your vacation, including houses, apartments, condos, villas, etc. It was originally found in ONLINE | NYC DATA SCIENCE ACADEMYNEW YORK DATA SCIENCE ACADEMYNYC DATA SCIENCE ACADEMY REVIEWINTERESTING DATA SCIENCE PROJECTS All-in-one learning platform. Our all-in-one data science learning platform allows you to code directly from your browser and get immediate feedback without leaving the workspace. You also have access to our large and growing range of datasets and lecture code which allow you to practice in a real coding environment. Mentor. BEATING THE SCAM: IDENTIFYING MEDICARE FRAUD THROUGH Overview Losses due to Medicare fraud in the United States are estimated to inflate public health expenditures from between 3 and 10%. This means that up to $300 billion is misappropriated from Medicare patients into the hands of criminals on an annual basis. Despite extensive efforts from state and federal law enforcement, onlya fraction
PREDICTING HOME PRICES VIA PYTHON The Challenge. We were tasked with predicting the final price of the 1,459 homes in the “test” dataset by training a machine learning model on the “train” dataset. The overall accuracy of our predictions was measured by Kaggle, which had the true prices for the homes in the “test” dataset. Below, we lay out the framework forhow we
TWO WAYS OF SCRAPING JOB LISTINGS PORTFOLIO OPTIMIZATION Introduction The main motivation behind this web scraping project is based on Modern Portfolio Theory (MPT), a quantitative framework applied to investment portfolios that optimizes the relationship between risk vs. reward. This financial theory was founded by Harry Markowitz in the 1950s, and at the time, mathematics were severely underused in the economic PREDICTION OF CREDIT DEFAULT RISK BETTING ON HORSE RACING The data set consisted of 81 different features. The objective of this capstone project was to: 1) create a a model to predict the probability of a given horse in a given race winning said race; and. 2) use the probabilities outputted by our model to create a betting strategy to maximize our ROI based on a $100,000 betting bankroll whenback
ABNORMALITY DETECTION IN MAMMOGRAPHY USING DEEP LEARNINGSEE MORE ONNYCDATASCIENCE.COM
E-COMMERCE DATA ANALYSIS OF LOCKS AND SAFES Introduction: For this capstone project, we were given an opportunity to conduct an e-commerce data analysis for MasterLock. MasterLock’s main objective was to use e-commerce data analysis to design strategies that would increase their products sales. Our task was to scrape customer reviews and product/website details from e-commerce sources that sold MasterLock's products.SCRAPING VRBO.COM
Introduction For my web scraping project, I decided to scrap a website named Vrbo for renting places to people when they are on vacation. Vacation Rental By Owner(Vrbo) is a site that allows you to find rentals of all kinds of choices for your vacation, including houses, apartments, condos, villas, etc. It was originally found in THE GROWTH OF ESPORTS Background and Motivation Ever since the Covid-19 pandemic started, countries initiated quarantine and lockdown campaigns, so many events where people gathered were put on hold. Those included sporting events, hence, the Tokyo Olympics were postponed for the year 2021. In the absence of live sports, the media was quick to champion eSports asan alternative
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Online Classroom - NYCDSA PREDICTION OF CREDIT DEFAULT RISK The most important task for any lender is to predict the probability of default for a borrower. An accurate prediction can help in balancing risk and return for the lender; charging higher rates for higher risks, or even denying the loan when required. This helps genuine borrowers also OLYMPIC GAMES DATA VISUALIZATION Olympic Games Data Visualization. This Shiny App is an exploratory visualization of data from 120 years of the Olympic Games. Users can view world maps detailing country medals and host cities as well as select a country and dive into graphs explaining its Olympic history. The data spans from 1896 to 2016 covering the following categories:JESSE EGOAVIL
Currently, I am a Data Science Fellow at NYC Data Science Academy! I hope to grow and be able to provide impactful, data-driven stories. IDENTIFYING "FAKE NEWS" WITH NLP Fake news is a type of yellow journalism or propaganda that consists of purposeful misinformation. It has traditionally been spread through print and broadcast mediums, but with the rise of social media, it can now be disseminated virally. As a result, large technology companies have begun to take steps to address this trend. WHO ACTUALLY OWNS S&P 500? Above graph clearly shows, how some handful institutions almost own most of the S&P500 companies. Their investment share just in S&P 500 is so high, that it I wanted to see what is their total asset under management (their total worth). In the graph above, I tried to compare AUM of these investment firms and some of the top world GDPs.IREENA BAGAI
I have a PhD in Biochemistry and several years of research experience. I worked as a patent agent for few years and decided to transitioninto data science.
RYAN BURAKOWSKI
BS in Chemical Engineering, Brown University. Former options and equity trader at Susquehanna International Group. Three years of proprietary trading experience while traveling the world. Looking to connect with fellow professionals in the data science industry! MENTOR MATCHING USING MACHINE LEARNING I. Introduction For our group's capstone project, we consulted with #BuiltByGirls, a non-profit organization that connects young students to professionals in the tech industry. The organization's goal is to increase the tech industry participation of individuals from an underrepresented group in society. Mentees (students) are paired with mentors (professionals) who meet with the student to NYC DATA SCIENCE ACADEMYVIEW PROFESSIONAL DEVELOPMENT COURSESINTRODUCTORY PYTHONDATA SCIENCE WITH TABLEAU NYC Data Science Academy offers immersive data science bootcamp, onsite and remote data science courses, corporate training, career development, and consulting. ONLINE | NYC DATA SCIENCE ACADEMY Upskill your team. With our online learning platform, you can develop your team’s data science skills through a customized, project-centric curriculum. BEATING THE SCAM: IDENTIFYING MEDICARE FRAUD THROUGH Overview Losses due to Medicare fraud in the United States are estimated to inflate public health expenditures from between 3 and 10%. This means that up to $300 billion is misappropriated from Medicare patients into the hands of criminals on an annual basis. Despite extensive efforts from state and federal law enforcement, onlya fraction
ONLINE CLASSROOM
Online Classroom - NYCDSA IDENTIFYING "FAKE NEWS" WITH NLP Introduction What is fake news? We’ve all heard of it, but it is not always easy to identify. Fake news is a type of yellow journalism or propaganda that consists of purposeful misinformation. It has traditionally been spread through print and broadcast mediums, but with the rise of social media, it can now be disseminated TWO WAYS OF SCRAPING JOB LISTINGS E-COMMERCE DATA ANALYSIS OF LOCKS AND SAFES Introduction: For this capstone project, we were given an opportunity to conduct an e-commerce data analysis for MasterLock. MasterLock’s main objective was to use e-commerce data analysis to design strategies that would increase their products sales. Our task was to scrape customer reviews and product/website details from e-commerce sources that sold MasterLock's products. WHO ACTUALLY OWNS S&P 500? What are some of the biggest firms in United States of America that come to your mind? Apple? Google? Amazon? and likes right? But have we thought how big these firms really are? For instance, let's take Apple. According to Investopedia Apple's market capital in 2017, was greater than some of the countries GDPs. (ref)SCRAPING VRBO.COM
Introduction For my web scraping project, I decided to scrap a website named Vrbo for renting places to people when they are on vacation. Vacation Rental By Owner(Vrbo) is a site that allows you to find rentals of all kinds of choices for your vacation, including houses, apartments, condos, villas, etc. It was originally found in RECENT SOLD HOUSE DATA IN SAN JOSE, SCRAPING FROM REALTOR House marketing is going crazy these years, especial in the Bay area where you can’t get a house for under a million dollars. For new home buyers, it’s important to understand what’s behind the localhousing market.
NYC DATA SCIENCE ACADEMYVIEW PROFESSIONAL DEVELOPMENT COURSESINTRODUCTORY PYTHONDATA SCIENCE WITH TABLEAU NYC Data Science Academy offers immersive data science bootcamp, onsite and remote data science courses, corporate training, career development, and consulting. ONLINE | NYC DATA SCIENCE ACADEMY Upskill your team. With our online learning platform, you can develop your team’s data science skills through a customized, project-centric curriculum. BEATING THE SCAM: IDENTIFYING MEDICARE FRAUD THROUGH Overview Losses due to Medicare fraud in the United States are estimated to inflate public health expenditures from between 3 and 10%. This means that up to $300 billion is misappropriated from Medicare patients into the hands of criminals on an annual basis. Despite extensive efforts from state and federal law enforcement, onlya fraction
ONLINE CLASSROOM
Online Classroom - NYCDSA IDENTIFYING "FAKE NEWS" WITH NLP Introduction What is fake news? We’ve all heard of it, but it is not always easy to identify. Fake news is a type of yellow journalism or propaganda that consists of purposeful misinformation. It has traditionally been spread through print and broadcast mediums, but with the rise of social media, it can now be disseminated TWO WAYS OF SCRAPING JOB LISTINGS E-COMMERCE DATA ANALYSIS OF LOCKS AND SAFES Introduction: For this capstone project, we were given an opportunity to conduct an e-commerce data analysis for MasterLock. MasterLock’s main objective was to use e-commerce data analysis to design strategies that would increase their products sales. Our task was to scrape customer reviews and product/website details from e-commerce sources that sold MasterLock's products. WHO ACTUALLY OWNS S&P 500? What are some of the biggest firms in United States of America that come to your mind? Apple? Google? Amazon? and likes right? But have we thought how big these firms really are? For instance, let's take Apple. According to Investopedia Apple's market capital in 2017, was greater than some of the countries GDPs. (ref)SCRAPING VRBO.COM
Introduction For my web scraping project, I decided to scrap a website named Vrbo for renting places to people when they are on vacation. Vacation Rental By Owner(Vrbo) is a site that allows you to find rentals of all kinds of choices for your vacation, including houses, apartments, condos, villas, etc. It was originally found in RECENT SOLD HOUSE DATA IN SAN JOSE, SCRAPING FROM REALTOR House marketing is going crazy these years, especial in the Bay area where you can’t get a house for under a million dollars. For new home buyers, it’s important to understand what’s behind the localhousing market.
NYC DATA SCIENCE ACADEMY NYC Data Science Academy offers immersive data science bootcamp, onsite and remote data science courses, corporate training, career development, and consulting. OLYMPIC GAMES DATA VISUALIZATION This Shiny App is an exploratory visualization of data from 120 years of the Olympic Games. Users can view world maps detailing country medals and host cities as well as select a country and dive into graphs explaining its Olympic history. The data spans from 1896 to 2016 covering the following categories: Athlete name Gender IDENTIFYING "FAKE NEWS" WITH NLP Introduction What is fake news? We’ve all heard of it, but it is not always easy to identify. Fake news is a type of yellow journalism or propaganda that consists of purposeful misinformation. It has traditionally been spread through print and broadcast mediums, but with the rise of social media, it can now be disseminated NEW YORK CITY LEADING CAUSES OF DEATH ANALYSIS Introduction The leading causes of death has a significant impact on different race ethnicity in the New York City. A race might have more deaths than other race from one leading cause to another leading cause. There might be correlation in leading causes, deaths, race ethnicity, sex, and heath indicators. The analysis would be useful forONLINE CLASSROOM
Online Classroom - NYCDSA ABNORMALITY DETECTION IN MAMMOGRAPHY USING DEEP LEARNING The developed code is found on Github, and the trained CNN models can be downloaded in the following links: Multi-class classification model Binary classification model Introduction Breast cancer is the second leading cause of deaths among American women. The average risk of a woman in the United States developing breast cancer sometime in herlife
MENTOR MATCHING USING MACHINE LEARNING I. Introduction For our group's capstone project, we consulted with #BuiltByGirls, a non-profit organization that connects young students to professionals in the tech industry. The organization's goal is to increase the tech industry participation of individuals from an underrepresented group in society. Mentees (students) are paired with mentors (professionals) who meet with the student to WHO ACTUALLY OWNS S&P 500? What are some of the biggest firms in United States of America that come to your mind? Apple? Google? Amazon? and likes right? But have we thought how big these firms really are? For instance, let's take Apple. According to Investopedia Apple's market capital in 2017, was greater than some of the countries GDPs. (ref) PREDICTING HOUSING PRICES IN AMES, IOWA After the above analysis, remaining variables are as follows: lot area, house style, overall quality, overall condition, year built, masonry veneer area, exterior quality, heating quality, number of bedrooms above ground, kitchen quality, total rooms above ground, number of fireplaces, garage area, month sold, year sold. RECENT SOLD HOUSE DATA IN SAN JOSE, SCRAPING FROM REALTOR House marketing is going crazy these years, especial in the Bay area where you can’t get a house for under a million dollars. For new home buyers, it’s important to understand what’s behind the localhousing market.
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Looking Ahead: What to Expect in the Data Science Job MarketDec 2nd, 2020
6:00PM
REGISTER HERE TO CLAIM YOUR ZOOM LINK!! https://info.nycdatascience.com/looking-ahead-what-to-expect-in-the-data-science-job-market?utm_source=meetup&utm_medium=social&utm_campaign=looking-ahead-what-to-expect-in-the-data-science-job-market Discover how the data science job market is evolving, where demand lies, and how you can stand out in this increasingly, competitive field. About this Event The increasing popularity of data science is a reflection of how entities think about big data. As demand for new and improved technology increases in the field, the need for skilled professionals equipped in harnessing them continues to rise. Join us Wednesday, December 2, and discover the market outlook for the data science field in the coming years. Find out how and where to start building your career to become a skilled data science professional. In this talk, you will learn more about how the data science job market is evolving, where the demand for skilled professionals lies, and how you can stand out in this increasingly, competitive field. Additionally, you will hear stories of our alumni who have landed roles as data analysts, data scientists, data engineers, and more, coming from a wide range of educational and working backgrounds. This discussion will be led by Vivian Zhang, Founder and School Director of NYC Data Science Academy. About NYC Data Science Academy Since 2013, NYC Data Science Academy has been provides award-winning accelerated data science training programs and courses that prepare people for employment opportunities across all industries as data science professionals. Our data science bootcamps, full-time and part-time, have been recognized as the Best Data Science Bootcamp for 5 years in a row by Switchup.org. Enroll Now__
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Data Science with R: Machine LearningJan 9th, 2021
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This 35-hour Machine Learning with R course introduces both the theoretical foundation of machine learning algorithms as well as their practical applications in R. It will introduce you to data mining, performance measures and dimension reduction, regression models, both linear and generalized, KNN and Naïve Bayes models, tree models, and SVMs as well as the Association Rule for analysis. After successfully completing of this course, you will be able to break down the mathematics behind major machine learning algorithms, explain the principles of machine learning algorithms, and implement these methods to solve real-world problems. Enroll Now Data Science with R: Data Analysis and VisualizationJan 9th, 2021
10:00am-5:00pm
This course is a 35-hour program designed to provide a comprehensive introduction to R. You’ll learn how to load, save, and transform data as well as how to write functions, generate graphs, and fit basic statistical models with data. In addition to a theoretical framework in which you will learn the process of data analysis, this course focuses on the practical tools needed in data analysis and visualization. By the end of the course, you will have mastered the essential skills of processing, manipulating and analyzing data of various types, creating advanced visualizations, generating reports, and documenting your codes. Enroll Now Data Science with Python: Machine LearningJan 10th, 2021
1:00-5:00pm
This 20-hour Machine Learning with Python course covers all the basic machine learning methods and Python modules (especially Scikit-Learn) for implementing them. The five sessions cover: simple and multiple Linear regressions; classification methods including logistic regression, discriminant analysis and naive bayes, support vector machines (SVMs) and tree based methods; cross-validation and feature selection; regularization; principal component analysis (PCA) and clustering algorithms. After successfully completing of this course, you will be able to explain the principles of machine learning algorithms and implement these methods to analyze complex datasets and make predictions in Python. Enroll Now Data Science with Python: Data Analysis and VisualizationJan 10th, 2021
1:00-5:00pm
This class is a comprehensive introduction to data science with Python programming language. This class targets people who have some basic knowledge of programming and want to take it to the next level. It introduces how to work with different data structures in Python and covers the most popular data analytics and visualization modules, including numpy, scipy, pandas, matplotlib, and seaborn. We use Ipython notebook to demonstrate the results of codes and change codes interactively throughout the class. Enroll NowIntroductory Python
Jan 12th, 2021
7:00-9:00pm
This is a class for computer-literate people with no programming background who wish to learn basic Python programming. The course is aimed at those who want to learn “data wrangling” – manipulating downloaded files to make them amenable to analysis. We concentrate on language basics such as list and string manipulation, control structures, simple data analysis packages, and introduce modules for downloading data from the web. Enroll Now Big Data with Amazon Cloud, Hadoop/Spark and DockerJan 12th, 2021
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This is a 6-week evening program providing a hands-on introduction to the Hadoop and Spark ecosystem of Big Data technologies. The course will cover these key components of Apache Hadoop: HDFS, MapReduce with streaming, Hive, and Spark. Programming will be done in Python. The course will begin with a review of Python concepts needed for our examples. The course format is interactive. Students will need to bring laptops to class. Enroll Now__
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Data Science with R: Machine LearningFeb 27th, 2021
10:00am-5:00pm
This 35-hour Machine Learning with R course introduces both the theoretical foundation of machine learning algorithms as well as their practical applications in R. It will introduce you to data mining, performance measures and dimension reduction, regression models, both linear and generalized, KNN and Naïve Bayes models, tree models, and SVMs as well as the Association Rule for analysis. After successfully completing of this course, you will be able to break down the mathematics behind major machine learning algorithms, explain the principles of machine learning algorithms, and implement these methods to solve real-world problems. Enroll Now Data Science with R: Data Analysis and VisualizationFeb 27th, 2021
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This course is a 35-hour program designed to provide a comprehensive introduction to R. You’ll learn how to load, save, and transform data as well as how to write functions, generate graphs, and fit basic statistical models with data. In addition to a theoretical framework in which you will learn the process of data analysis, this course focuses on the practical tools needed in data analysis and visualization. By the end of the course, you will have mastered the essential skills of processing, manipulating and analyzing data of various types, creating advanced visualizations, generating reports, and documenting your codes. Enroll Now Data Science with Python: Machine LearningFeb 28th, 2021
1:00-5:00pm
This 20-hour Machine Learning with Python course covers all the basic machine learning methods and Python modules (especially Scikit-Learn) for implementing them. The five sessions cover: simple and multiple Linear regressions; classification methods including logistic regression, discriminant analysis and naive bayes, support vector machines (SVMs) and tree based methods; cross-validation and feature selection; regularization; principal component analysis (PCA) and clustering algorithms. After successfully completing of this course, you will be able to explain the principles of machine learning algorithms and implement these methods to analyze complex datasets and make predictions in Python. Enroll Now Data Science with Python: Data Analysis and VisualizationFeb 28th, 2021
1:00-5:00pm
This class is a comprehensive introduction to data science with Python programming language. This class targets people who have some basic knowledge of programming and want to take it to the next level. It introduces how to work with different data structures in Python and covers the most popular data analytics and visualization modules, including numpy, scipy, pandas, matplotlib, and seaborn. We use Ipython notebook to demonstrate the results of codes and change codes interactively throughout the class. Enroll Now__
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Introductory Python
Mar 2nd, 2021
7:00-9:00pm
This is a class for computer-literate people with no programming background who wish to learn basic Python programming. The course is aimed at those who want to learn “data wrangling” – manipulating downloaded files to make them amenable to analysis. We concentrate on language basics such as list and string manipulation, control structures, simple data analysis packages, and introduce modules for downloading data from the web. Enroll Now Big Data with Amazon Cloud, Hadoop/Spark and DockerMar 23rd, 2021
7:00-9:30pm
This is a 6-week evening program providing a hands-on introduction to the Hadoop and Spark ecosystem of Big Data technologies. The course will cover these key components of Apache Hadoop: HDFS, MapReduce with streaming, Hive, and Spark. Programming will be done in Python. The course will begin with a review of Python concepts needed for our examples. The course format is interactive. Students will need to bring laptops to class. Enroll Now__ __
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Looking Ahead: What to Expect in the Data Science Job MarketDec 2nd, 2020
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REGISTER HERE TO CLAIM YOUR ZOOM LINK!! https://info.nycdatascience.com/looking-ahead-what-to-expect-in-the-data-science-job-market?utm_source=meetup&utm_medium=social&utm_campaign=looking-ahead-what-to-expect-in-the-data-science-job-market Discover how the data science job market is evolving, where demand lies, and how you can stand out in this increasingly, competitive field. About this Event The increasing popularity of data science is a reflection of how entities think about big data. As demand for new and improved technology increases in the field, the need for skilled professionals equipped in harnessing them continues to rise. Join us Wednesday, December 2, and discover the market outlook for the data science field in the coming years. Find out how and where to start building your career to become a skilled data science professional. In this talk, you will learn more about how the data science job market is evolving, where the demand for skilled professionals lies, and how you can stand out in this increasingly, competitive field. Additionally, you will hear stories of our alumni who have landed roles as data analysts, data scientists, data engineers, and more, coming from a wide range of educational and working backgrounds. This discussion will be led by Vivian Zhang, Founder and School Director of NYC Data Science Academy. About NYC Data Science Academy Since 2013, NYC Data Science Academy has been provides award-winning accelerated data science training programs and courses that prepare people for employment opportunities across all industries as data science professionals. Our data science bootcamps, full-time and part-time, have been recognized as the Best Data Science Bootcamp for 5 years in a row by Switchup.org. Enroll Now* 1
Data Science with R: Machine LearningJan 9th, 2021
10:00am-5:00pm
This 35-hour Machine Learning with R course introduces both the theoretical foundation of machine learning algorithms as well as their practical applications in R. It will introduce you to data mining, performance measures and dimension reduction, regression models, both linear and generalized, KNN and Naïve Bayes models, tree models, and SVMs as well as the Association Rule for analysis. After successfully completing of this course, you will be able to break down the mathematics behind major machine learning algorithms, explain the principles of machine learning algorithms, and implement these methods to solve real-world problems. Enroll Now Data Science with R: Data Analysis and VisualizationJan 9th, 2021
10:00am-5:00pm
This course is a 35-hour program designed to provide a comprehensive introduction to R. You’ll learn how to load, save, and transform data as well as how to write functions, generate graphs, and fit basic statistical models with data. In addition to a theoretical framework in which you will learn the process of data analysis, this course focuses on the practical tools needed in data analysis and visualization. By the end of the course, you will have mastered the essential skills of processing, manipulating and analyzing data of various types, creating advanced visualizations, generating reports, and documenting your codes. Enroll Now Data Science with Python: Machine LearningJan 10th, 2021
1:00-5:00pm
This 20-hour Machine Learning with Python course covers all the basic machine learning methods and Python modules (especially Scikit-Learn) for implementing them. The five sessions cover: simple and multiple Linear regressions; classification methods including logistic regression, discriminant analysis and naive bayes, support vector machines (SVMs) and tree based methods; cross-validation and feature selection; regularization; principal component analysis (PCA) and clustering algorithms. After successfully completing of this course, you will be able to explain the principles of machine learning algorithms and implement these methods to analyze complex datasets and make predictions in Python. Enroll Now Data Science with Python: Data Analysis and VisualizationJan 10th, 2021
1:00-5:00pm
This class is a comprehensive introduction to data science with Python programming language. This class targets people who have some basic knowledge of programming and want to take it to the next level. It introduces how to work with different data structures in Python and covers the most popular data analytics and visualization modules, including numpy, scipy, pandas, matplotlib, and seaborn. We use Ipython notebook to demonstrate the results of codes and change codes interactively throughout the class. Enroll NowIntroductory Python
Jan 12th, 2021
7:00-9:00pm
This is a class for computer-literate people with no programming background who wish to learn basic Python programming. The course is aimed at those who want to learn “data wrangling” – manipulating downloaded files to make them amenable to analysis. We concentrate on language basics such as list and string manipulation, control structures, simple data analysis packages, and introduce modules for downloading data from the web. Enroll Now Big Data with Amazon Cloud, Hadoop/Spark and DockerJan 12th, 2021
7:00-9:30pm
This is a 6-week evening program providing a hands-on introduction to the Hadoop and Spark ecosystem of Big Data technologies. The course will cover these key components of Apache Hadoop: HDFS, MapReduce with streaming, Hive, and Spark. Programming will be done in Python. The course will begin with a review of Python concepts needed for our examples. The course format is interactive. Students will need to bring laptops to class. Enroll Now Data Science with R: Machine LearningFeb 27th, 2021
10:00am-5:00pm
This 35-hour Machine Learning with R course introduces both the theoretical foundation of machine learning algorithms as well as their practical applications in R. It will introduce you to data mining, performance measures and dimension reduction, regression models, both linear and generalized, KNN and Naïve Bayes models, tree models, and SVMs as well as the Association Rule for analysis. After successfully completing of this course, you will be able to break down the mathematics behind major machine learning algorithms, explain the principles of machine learning algorithms, and implement these methods to solve real-world problems. Enroll Now Data Science with R: Data Analysis and VisualizationFeb 27th, 2021
10:00am-5:00pm
This course is a 35-hour program designed to provide a comprehensive introduction to R. You’ll learn how to load, save, and transform data as well as how to write functions, generate graphs, and fit basic statistical models with data. In addition to a theoretical framework in which you will learn the process of data analysis, this course focuses on the practical tools needed in data analysis and visualization. By the end of the course, you will have mastered the essential skills of processing, manipulating and analyzing data of various types, creating advanced visualizations, generating reports, and documenting your codes. Enroll Now Data Science with Python: Machine LearningFeb 28th, 2021
1:00-5:00pm
This 20-hour Machine Learning with Python course covers all the basic machine learning methods and Python modules (especially Scikit-Learn) for implementing them. The five sessions cover: simple and multiple Linear regressions; classification methods including logistic regression, discriminant analysis and naive bayes, support vector machines (SVMs) and tree based methods; cross-validation and feature selection; regularization; principal component analysis (PCA) and clustering algorithms. After successfully completing of this course, you will be able to explain the principles of machine learning algorithms and implement these methods to analyze complex datasets and make predictions in Python. Enroll Now Data Science with Python: Data Analysis and VisualizationFeb 28th, 2021
1:00-5:00pm
This class is a comprehensive introduction to data science with Python programming language. This class targets people who have some basic knowledge of programming and want to take it to the next level. It introduces how to work with different data structures in Python and covers the most popular data analytics and visualization modules, including numpy, scipy, pandas, matplotlib, and seaborn. We use Ipython notebook to demonstrate the results of codes and change codes interactively throughout the class. Enroll NowIntroductory Python
Mar 2nd, 2021
7:00-9:00pm
This is a class for computer-literate people with no programming background who wish to learn basic Python programming. The course is aimed at those who want to learn “data wrangling” – manipulating downloaded files to make them amenable to analysis. We concentrate on language basics such as list and string manipulation, control structures, simple data analysis packages, and introduce modules for downloading data from the web. Enroll Now Big Data with Amazon Cloud, Hadoop/Spark and DockerMar 23rd, 2021
7:00-9:30pm
This is a 6-week evening program providing a hands-on introduction to the Hadoop and Spark ecosystem of Big Data technologies. The course will cover these key components of Apache Hadoop: HDFS, MapReduce with streaming, Hive, and Spark. Programming will be done in Python. The course will begin with a review of Python concepts needed for our examples. The course format is interactive. Students will need to bring laptops to class. Enroll NowNovember
2020
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