Learn from experienced Data Scientists
Build a standout portfolio with real projects
Set and achieve goals with our career team
Prepare for a career as a Data Scientist
BrainStation's Data Science program is an immersive, project-based learning experience, designed to transform your skillset and launch a new career in data.
The program's curriculum is challenging, comprehensive, and constantly updated, ensuring you are always learning the most in-demand data science skills, techniques, and tools. Led by Educators with experience in the field, you will develop and work on real-world data problems, building a standout portfolio of completed projects.
By program's end, you will have the skills, experience, and confidence needed to dive into a career in data.
Interested in viewing more details on our student outcomes?
Get Your Dream Job in Tech
Average Data Scientist and Advanced Analyst salary
Your Student Journey
Your student journey begins with a free admissions challenge, which will teach fundamental data concepts. As you move through the program, our team will continue to work with you, providing career guidance and professional development, every step of the way.
At your own pace
What You'll Learn
The admissions challenge will introduce you to major principles of data science and analytics, which you'll use throughout the program to solve real analytical and modeling problems.
Working with Data
Learn how to run a database on your machine, and query the data using SQL. You will then apply your SQL knowledge to tackle your first analytics problem.
What You'll Learn
Learn the fundamental methods of collecting, accessing and storing data, including effective use of relational databases. You will learn the best practices of data visualization, and how to use industry tools like Tableau to design engaging visualizations and present recommendations effectively.
Analysis for Data Science
Using Python programming and relevant packages, you will learn to analyze data sets with statistical methods. Using statistical tests, you will interpret the results, making quantitative inferences in order to generate data-driven insights.
Machine Learning Techniques
Gain exposure to cutting-edge applications of data science, including Neural Networks, Deep Learning, advanced machine learning methods, and model evaluation.
Big Data Fundamentals
Produce and deploy models by leveraging the power of cloud-based technology. You will explore multiple techniques for processing data on a large scale and use the Hadoop ecosystem to process and store big data.
The program will expose you to a number of topics to prepare you for the data workforce post-program. You will build your portfolio through a capstone project, learn about additional tools and resources, common workflow processes, and new, industry-relevant topics to prepare you for a professional career in data.
Interested in what a typical day or Capstone Project looks like?
Preparing You for Your Career
Your experience at BrainStation will prepare you for your new career, giving you the confidence, knowledge, and experience needed to succeed. Have questions about our career services? with an Advisor
Build Your Portfolio
As part of the program, you will build an impressive portfolio of completed projects, showcasing the skills you have developed.
Prepare for Interviews
To get you ready for the interview process, you will be interviewed by a Hiring Manager and a Data Scientist, and provided with feedback.
Gain Industry Insights
You will have the chance to build meaningful connections, with visits to local tech companies, and complimentary access to meetups, networking events, and career fairs.
Receive Career Path Guidance
Our Student Success Team will work closely with you throughout your student journey, helping you set goals and ensuring you're on track to meet them.
Connect with world-class companies
What People are Saying
“BrainStation provides a fantastic learning ecosystem. Lectures were well delivered and supplemented throughout the course to deliver key and new concepts. This ensures students came away with a solid understanding, and the confidence to go off on their own to continue learning after the course.”
Jonathan, Course Report
“I was impressed by the organization of the school and the atmosphere. Brainstation has really nailed student communication and has an incredible student portal where all of the class content lives, acting as a great resource to continue learning outside of the classroom.”
“My experience at Brainstation was nothing short of fantastic. The staff is extremely professional, insightful, and attentive. The teachings were effective and the in-class exercises helped me hone my knowledge and get solid feedback.”
A State-of-the-Art Learning Studio
Our New York learning studio in New York was designed to inspire creativity, collaboration, and focused learning, with bright, engaging classrooms, multifunctional event spaces, and comfortable lounges.
In the heart of New York
Overlooking SoHo from a penthouse location, the BrainStation studio is a unique tech community hub in the city that never sleeps, with immersive corporate training sessions, industry events, expert panel discussions, and more.
With our very own coffee
Stay caffeinated at Quantum Coffee, our very own private coffee counter.
View the New York Campusto see our space.
Learn Now, Pay Over Time
BrainStation offers some of the most competitive payment options for digital learning, with a range of flexible plans and scholarship opportunities.
To learn more about your payment options, view our course package.
Choose a payment plan with up to
How to Apply
BrainStation selects individuals who are committed to earning a career in data, and who will thrive in a fast-paced, collaborative learning environment.
Speak with a Learning Advisor
Submit an Initial Online Application
Receive an Invitation to an Interview
Complete the Admissions Challenge
Learn in the center of New York
503 Broadway, Penthouse New York, NY
Located in SoHo, our New York campus is a vibrant community hub, just steps away from some of the world's most influential technology companies.