Become a Data Scientist

NYC Data Science Academy is the premier training ground providing premium, accelerated training in data science through immersive bootcamps and courses.
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Full-time 16 weeks
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Full-time 12 weeks
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4 - 6 weeks
  • Python and R courses at different levels
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Join Our Upcoming Courses and Events

Jun 16th, 2021
6:00PM
Ryan Burakowski, a current NYC Data Science Academy fellow with experience in capital markets, is going to teach you how he developed a tool in Python to help businesses extract meaning from customer reviews of their products. Join us on Wednesday, June 16th at 6:00PM ET, and learn how Ryan’s project analyzed the distribution characteristics of online customer reviews at Amazon.com, grouped at the product level. He also investigated how many reviews a product needs to have accumulated in order for the average rating to provide useful information using Python. Agenda: 6:00 - 6:10 PM: Upcoming bootcamp dates and announcements6:10-6:50 PM: Hands on workshop given by Ryan6:50-7:00 PM: Networking and Q&A Join us through Zoom Link: https://nycdatascience.zoom.us/my/thebestdatascienceschool About Ryan BurakowskiRyan Burakowski is a current NYC Data Science Academy fellow with experience in capital markets and a passion for working on difficult problems. He spent the last three years as a proprietary trader, traveling the world and living in over 10 different countries. Previously Ryan was an options market maker and equity trader at Susquehanna International Group, where he learned about the power of data-driven decision making in business and markets. He has a B.S. in Chemical Engineering from Brown University and is excited to make data analytics a cornerstone of his career moving forward. About NYC Data Science Academy NYC Data Science Academy provides award-winning accelerated data science training programs and courses that prepare people for employment opportunities across all industries as data science professionals. 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. We have graduated over 2000 students at this point! Pin Our Upcoming Events On Your Calendar! Join our next In-person or Remote Live Data Science Bootcamp, and get ready for the next step in your data science career! (https://nycdatascience.com/data-science-bootcamp/)Classes start on July 6th! Apply by June 18th to get a 10% off your tuition and secure your seat!
Enroll Now
Jun 23rd, 2021
6:00PM
Data visualization skills are essential for achieving the ultimate goal of finding and communicating valuable insights, whether you are pitching a new idea, persuading others to take action, or making a business decision. Join us on Wednesday, June 23rd at 6PM ET and learn the fundamentals and best practices of data visualization to effectively present complex data and communicate insights in ways your audience can easily understand. The workshop will provide clear explanations of essential data visualization concepts and data science tools, supported by various illustrative examples in Python. At the end of the workshop, you will better understand how you can effectively use visualization to complete and present a successful data science project. This workshop will be taught by NYC Data Science Academy Instructor Carlos Afonso. No previous background in data visualization or programming is required to join this workshop. However, if you would like to follow along with the hands-on workshop, we recommend installing the latest version of Anaconda with Python. Here is a helpful video on how to properly set up Anaconda: https://vimeo.com/user47553974 JOIN US HERE▶️ https://nycdatascience.zoom.us/my/thebestdatascienceschool Agenda6:00pm - 6:05pm Registration & mingling6:05pm - 6:25pm NYC Data Science Academy Overview6:25pm - 7:20pm Hands-on workshop given by Carlos7:20pm - 7:30pm Q&A and more mingling About NYC Data Science AcademyNYC Data Science Academy provides award-winning accelerated data science training programs and courses that prepare people for employment opportunities across all industries as data science professionals.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. We have graduated over 2000 students at this point!Pin Our Upcoming Events On Your Calendar!Join our next In-person or Remote Live Data Science Bootcamp, and get ready for the next step in your data science career! (https://nycdatascience.com/data-science-bootcamp/)Classes start on July 6th! Apply by June 18th to get a 10% off your tuition and secure your seat!
Enroll Now
Jul 31st, 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
Aug 1st, 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
Aug 1st, 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
Aug 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
Aug 10th, 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
Sep 18th, 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
Sep 19th, 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
Sep 19th, 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
Oct 19th, 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
Jun 16th, 2021
6:00PM
Ryan Burakowski, a current NYC Data Science Academy fellow with experience in capital markets, is going to teach you how he developed a tool in Python to help businesses extract meaning from customer reviews of their products. Join us on Wednesday, June 16th at 6:00PM ET, and learn how Ryan’s project analyzed the distribution characteristics of online customer reviews at Amazon.com, grouped at the product level. He also investigated how many reviews a product needs to have accumulated in order for the average rating to provide useful information using Python. Agenda: 6:00 - 6:10 PM: Upcoming bootcamp dates and announcements6:10-6:50 PM: Hands on workshop given by Ryan6:50-7:00 PM: Networking and Q&A Join us through Zoom Link: https://nycdatascience.zoom.us/my/thebestdatascienceschool About Ryan BurakowskiRyan Burakowski is a current NYC Data Science Academy fellow with experience in capital markets and a passion for working on difficult problems. He spent the last three years as a proprietary trader, traveling the world and living in over 10 different countries. Previously Ryan was an options market maker and equity trader at Susquehanna International Group, where he learned about the power of data-driven decision making in business and markets. He has a B.S. in Chemical Engineering from Brown University and is excited to make data analytics a cornerstone of his career moving forward. About NYC Data Science Academy NYC Data Science Academy provides award-winning accelerated data science training programs and courses that prepare people for employment opportunities across all industries as data science professionals. 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. We have graduated over 2000 students at this point! Pin Our Upcoming Events On Your Calendar! Join our next In-person or Remote Live Data Science Bootcamp, and get ready for the next step in your data science career! (https://nycdatascience.com/data-science-bootcamp/)Classes start on July 6th! Apply by June 18th to get a 10% off your tuition and secure your seat!
Enroll Now
Jun 23rd, 2021
6:00PM
Data visualization skills are essential for achieving the ultimate goal of finding and communicating valuable insights, whether you are pitching a new idea, persuading others to take action, or making a business decision. Join us on Wednesday, June 23rd at 6PM ET and learn the fundamentals and best practices of data visualization to effectively present complex data and communicate insights in ways your audience can easily understand. The workshop will provide clear explanations of essential data visualization concepts and data science tools, supported by various illustrative examples in Python. At the end of the workshop, you will better understand how you can effectively use visualization to complete and present a successful data science project. This workshop will be taught by NYC Data Science Academy Instructor Carlos Afonso. No previous background in data visualization or programming is required to join this workshop. However, if you would like to follow along with the hands-on workshop, we recommend installing the latest version of Anaconda with Python. Here is a helpful video on how to properly set up Anaconda: https://vimeo.com/user47553974 JOIN US HERE▶️ https://nycdatascience.zoom.us/my/thebestdatascienceschool Agenda6:00pm - 6:05pm Registration & mingling6:05pm - 6:25pm NYC Data Science Academy Overview6:25pm - 7:20pm Hands-on workshop given by Carlos7:20pm - 7:30pm Q&A and more mingling About NYC Data Science AcademyNYC Data Science Academy provides award-winning accelerated data science training programs and courses that prepare people for employment opportunities across all industries as data science professionals.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. We have graduated over 2000 students at this point!Pin Our Upcoming Events On Your Calendar!Join our next In-person or Remote Live Data Science Bootcamp, and get ready for the next step in your data science career! (https://nycdatascience.com/data-science-bootcamp/)Classes start on July 6th! Apply by June 18th to get a 10% off your tuition and secure your seat!
Enroll Now
Jul 31st, 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
Aug 1st, 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
Aug 1st, 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
Aug 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
Aug 10th, 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
Sep 18th, 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
Sep 19th, 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
Sep 19th, 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
Oct 19th, 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
June
2021
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