Become a Data Scientist in 12 Weeks

Data Science with Machine Learning

This immersive program is designed to prepare students for a career in data science while equipping them with the knowledge and skills required to use industry tools and apply them in real-world applications.

Receive extensive in-person instruction, hands-on project experience, and personalized career support

NYC Data Science Academy is recognized and ranked as “Best Data Science Bootcamp” for 2016, 2017, 2018, 2019, and 2020 by SwitchUp

Receive the Complete Data Scientist Bootcamp Syllabus

Secure a spot of a highly competitive program if you submit your application today, apply now

Our Bootcamp Review

Our Data Science Bootcamp is ranked as “Best Data Science Bootcamp” for 2019, 2020, and 2021 by Course Report.

Complete Curriculum

The only bootcamp that teaches both Python and R with machine learning, data analytics, and data visualization

Cutting-Edge

Curriculum drawn and updated through the engagement with corporate trainees, hiring partners, and leading industry experts

Project-Oriented

Four real-world and company-sponsored projects including a capstone to develop your programming and professional skills

Career Services

Lifelong career support including one-on-one resume reviews, interview prep, and exclusive access to networking opportunities with our hiring partners

Engaging Community

An active community of 2000+ working data scientists, like-minded peers, and data experts across various fields

"After graduating, I was offered my first full-time job as a data engineer. (I do not come from a CS, math or stats background). They are very successful at getting their students fluent in the tools and technologies, and prepared for finding great jobs in the field."

Dean Goldman

Data Engineer, Samsung Ads

"I learned everything I know about machine learning from the bootcamp. The curriculum gives you all the tools you need to develop your data science skills for the job."

Elsa Vera Amores

Data Scientist, JP Morgan Chase

"It's the hardest three months you'll ever experience. But at the end, it's really worth it. My advice is to be prepared for a very tough, but rewarding experience."

Kweku Ulzen

Senior Data Scientist, Nielsen

In this program, students will learn beginner and intermediate levels of Data Science with an option to specialize in Big Data Technologies or Deep Learning. Students will also learn to build statistical models, perform linear regression analysis, setup data classification and visualization using Python, R, Hadoop, Spark, and AWS.

Unit 1

Data Science Tool Kit

Learn to work from the command line - a must have skill for all data scientists. Work with basic Linux commands, text editing, and Git for version control. MySQL is taught with extensive practice on data manipulation.

Unit 2

Data Analytics & Data Visualization with R

Dive deep into R programming language from basic syntax to advanced packages and data visualization (e.g. tidyr, dplyr, string manipulation, ggplot2, R Shiny). Create a data-centric application with interactive visualizations.

Unit 3

Data Analytics & Data Visualization with Python

Basic Python programming, followed by versatile packages such as Numpy, Scipy, Matplotlib, Pandas, and Beautifulsoup. Exposure to NoSQL and MongoDB. Complete a Python web scraping project.

Unit 4

Machine Learning with R

Descriptive statistics, hypothesis testing, missingness, imputation & KNN, simple linear regression, multiple linear regression, generalized linear models, PCA, ridge/lasso, trees, random forests, bagging, boosting, support vector machines, neural networks, time series analysis, unsupervised learning. Complete a Kaggle competition.

Unit 5

Machine Learning with Python

Deepen machine learning skills with scikit learn. Focus on data cleaning, feature extraction, natural language processing, modeling and model selection using regression, SVM, PCA, tree models, clustering and more.

Unit 6

High Performance Computing, Hadoop, & Spark

Learn the concepts of high performance computing with parallel computing skills in Python and R. Introduction to MapReduce, Hadoop, Hive, Spark, and Spark MLlib.

Unit 7

Capstone Project and Job Placement Support

Complete a capstone project. Resume review, tips of interview skills, and opportunities to interview with potential employers. Receive customized resume support, LinkedIn profile review, elevator pitch workshops and career guidance, and more.

Become a Data Scientist in 12 Weeks

Data Science with Machine Learning

Receive the Complete Data Scientist Bootcamp Syllabus

Our Bootcamp Review

Complete Curriculum

Cutting-Edge

Project-Oriented

Career Services

Engaging Community

"After graduating, I was offered my first full-time job as a data engineer. (I do not come from a CS, math or stats background). They are very successful at getting their students fluent in the tools and technologies, and prepared for finding great jobs in the field."

Dean Goldman

Data Engineer, Samsung Ads

"I learned everything I know about machine learning from the bootcamp. The curriculum gives you all the tools you need to develop your data science skills for the job."

Elsa Vera Amores

Data Scientist, JP Morgan Chase

"It's the hardest three months you'll ever experience. But at the end, it's really worth it. My advice is to be prepared for a very tough, but rewarding experience."

Kweku Ulzen

Senior Data Scientist, Nielsen

Unit 1

Data Science Tool Kit

Unit 2

Data Analytics & Data Visualization with R

Unit 3

Data Analytics & Data Visualization with Python

Unit 4

Machine Learning with R

Unit 5

Machine Learning with Python

Unit 6

High Performance Computing, Hadoop, & Spark

Unit 7

Capstone Project and Job Placement Support

Join thousands of our graduates who have landed jobs in these companies

Receive the Complete Data Scientist Bootcamp Syllabus