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Bootcamp (Online)

Online Data Science

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Diploma Program

Data Science Bootcamp Online

  • Live Classroom
  • Full-Time or Part-Time
  • Expert Educators

Launch a new data science career with this intensive Data Science bootcamp.

View the Program Package to access:

  • Tuition details and scholarships
  • Financing options
  • Employer sponsorship
people looking at laptop

Next Kickoff:

January 17

Early Application ends November 19

Apply Now

Limited Capacity

Select a start date that fits your schedule.

Become a
Data Scientist

A PROVEN SYSTEM

90%+

hiring rate within 180 days of graduating

Thousands

of graduates from around the world

cutting-edge curriculum

connect with top employers

world-class career services

5,500+ Hiring Partners Around the World

The Bootcamp Experience

BrainStation is more than a Data Science bootcamp: it's a career transformation experience. Learn essential data science skills and gain hands-on, industry experience through unique real-world projects where you'll work alongside industry professionals on real business problems and collaborate with designers, web developers, and digital marketers to deliver a real-world solution. See why thousands of graduates have launched their new careers with BrainStation through this Data Science bootcamp.

Hands-On Industry Experience Before You Graduate

Get practical, hands-on data science experience applying what you've learned to a real business case presented by a leading digital business like Microsoft, Mastercard, and Google. In these dynamic industry projects, you'll work alongside industry practitioners while cross-collaborating with BrainStation students from other bootcamps to develop a compelling digital solution. This is an essential experience applying your technical skills to a real-world business problem and working as part of a diverse digital team, just like you will in your new career as a Data Scientist.

master card Adidas Google Walmart skip the dishes

INDUSTRY PARTNER

The Challenge

How might we increase the security of digital transactions through innovative digital solutions?

Working in cross-functional teams alongside practitioners from Mastercard, BrainStation students designed and built human-centered solutions to this challenge, and presented them to Mastercard leadership.

INDUSTRY PARTNER

The Challenge

What digital solutions can we use to support the future success of eCommerce in the apparel and sporting goods industry?

BrainStation students were challenged to work with practitioners from adidas to design and build an innovative solution to this challenge. At the end, they had the opportunity to present their solution to adidas.

INDUSTRY PARTNER

The Challenge

How might we increase access to health care services through the use of education and digital solutions?

Working in cross-functional teams alongside practitioners from Google, BrainStation students collaborated to design and build innovative solutions to this challenge. Once complete, students then had the opportunity to present their solutions back to Google.

INDUSTRY PARTNER

The Challenge

What data-driven, digital experiences can we deliver to help customers to save money and live better?

Working in cross-functional teams alongside practitioners from Walmart, BrainStation students designed and built human-centered solutions to this challenge, and presented them to the Walmart team.

INDUSTRY PARTNER

The Challenge

As the restaurant industry is experiencing significant disruption, what digital solutions can we create to support successful food delivery?

Working alongside practitioners from SkipTheDishes, BrainStation students designed and built a solution to this challenge facing the restaurant industry. They then presented their solutions to SkipTheDishes leadership.

Learn From Guest Experts Throughout the Program

BrainStation students get access to exclusive guest lectures and panel discussion events led by some of the world's leading subject matter experts and industry professionals.

Sandy Carter

Sandy Carter

Vice President at Amazon Web Services

David Lennie

David Lennie

SVP, Data Science and Engineering at Shopify

Gil Sheinfeld

Gil Sheinfeld

CTO at Fiverr

Tehmina Haider

Tehmina Haider

VP & Head of Harry's Labs at Harry's

Jimmy Nguyen

Jimmy Nguyen

Senior Data Scientist at LinkedIn

Laura Elsener

Laura Elsener

Senior Data Scientist, Team Lead at Squarespace

Akansha Vashisth

Akansha Vashisth

Data Engineer at Electronic Arts (EA)

Sharmeen Browarek Chapp

Sharmeen Browarek Chapp

VP of Product & Engineering at Twitch

Sandy Carter

Sandy Carter

Vice President at Amazon Web Services

David Lennie

David Lennie

SVP, Data Science and Engineering at Shopify

Gil Sheinfeld

Gil Sheinfeld

CTO at Fiverr

Tehmina Haider

Tehmina Haider

VP & Head of Harry's Labs at Harry's

Jimmy Nguyen

Jimmy Nguyen

Senior Data Scientist at LinkedIn

Laura Elsener

Laura Elsener

Senior Data Scientist, Team Lead at Squarespace

Akansha Vashisth

Akansha Vashisth

Data Engineer at Electronic Arts (EA)

Sharmeen Browarek Chapp

Sharmeen Browarek Chapp

VP of Product & Engineering at Twitch

Learn in our State-of-the-Art Online Classroom

Educator-Led, Live Online Courses, From the Comfort of Your Home

In all our online courses, learn from BrainStation's industry-expert educators through real-time, interactive classes in an engaging classroom environment.

Interactive, Project-Based Learning

Join breakout room sessions in smaller teams as part of the hands-on projects in our online courses, where you will collaborate and learn together.

Community Beyond the Classroom

During your online course, engage with your classmates and educators in BrainStation’s Slack community, where you’ll receive updates and support. Stay connected and in the loop throughout your online course.

Upcoming Program Dates & Campuses

Due to COVID-19, some courses are currently being held online.

First Class Last Class
Full Time
January 17 April 8 April 8 Early Application ends November 19
Full Time
Apply Now
Part Time
January 18 September 17 September 17
Part Time
Apply Now
Campus classroom preparing for class

New York

Due to COVID-19, New York courses are currently being held online.

Campus classroom preparing for class

This Course is Offered Online in Miami

First Class Last Class
January 17 April 8 April 8 Early Application ends November 19 Apply Now
First Class Last Class
January 17 April 8 April 8 Early Application ends November 19 Apply Now
First Class Last Class
January 17 April 8 April 8 Early Application ends November 19 Apply Now

UNIT 1

Fundamentals: Data Analysis & Visualization

Begin your data science journey by developing critical data skills in data analysis, business intelligence, and visualization. Build a strong foundation and prepare yourself for more advanced work ahead by learning about data types, how to work with them, and more. In this unit, you'll also explore the world of databases, and how to work with relational database management software (MySQL) to model, structure, and manipulate data for analysis. You will also begin learning about programming through SQL, enabling you to write powerful queries to perform data operations. Finally, you'll use Tableau, an industry-standard tool, to craft dynamic visualizations and dashboards that effectively communicate insights to others.

  • MySQL
  • Tableau
KEY SKILLS:
SQL
Databases
Data Modeling & Schema
Data Analysis
Data Visualization
Dashboards

Learn Fundamental Data Science Concepts

Real-world data analytics often involves working with larger and more complex data sets. Build an understanding of data types, relational databases, schema, and data processing, and use industry tools like MySQL to begin the data analytics process. By learning these key concepts, you'll be better prepared to tackle the advanced work ahead.

Learn SQL to Manipulate Data and Perform Data Analysis

Structured Query Language (SQL) is a powerful programming language and one of the essential programming skills needed for a career in data. Learn how to write advanced expressions with SQL to process data, surface key data points, highlight patterns, and augment your search capabilities within large data sets and prepare for business intelligence.

Communicate Data Insights With Powerful Data Visualizations

Learn critical concepts to design impactful visualizations that communicate your data analytics insights – when to use different chart types, visualization design, dashboarding, along with best practices for accessibility, color use, and more. Use Tableau – an industry-leading business intelligence and visualization tool – to augment your analysis and distill the most important insights into clear visualizations.

UNIT 2

Analysis for Data Science

Data science work relies on programming with languages such as Python and R. In this unit, you'll build core programming skills and leverage data science tools to perform complex data science work. You'll learn how to gather data from the web, complete data wrangling , and use code to perform analysis, build visualizations, and present insights. This unit is filled with essential data science knowledge and is your crash course for core data science skills and capabilities, orienting you for more advanced work ahead.

  • Python
  • Notebooks
  • NumPy
  • Pandas
  • Unit 2 tool: seaborn.svg
  • Unit 2 tool: matplotlib.svg
  • Statsmodels
  • Plotly
  • Bash
  • Unit 2 tool: git-white.svg
  • Unit 2 tool: r.svg
  • Tidyverse
KEY SKILLS:
Python
Object-Oriented Programming (OOP)
Data Cleaning
Exploratory Data Analysis (EDA)
Statistical Analysis
Hypothesis Testing
Predictive Models
APIs & Web Scraping
Command Line Scripting
Python Data Visualization
Code Version Control

Master Programming and Python for Data Science

Python is an essential skill and one of the most important tools for data science, providing unique power and flexibility to handle large volumes of data. Through this program, you'll learn fundamental programming concepts that will also help you learn other languages in the future, and you'll use Python to perform data cleaning, analysis, visualization, and more.

Learn Essential Statistical Analysis Concepts

In this unit, you'll explore important statistics concepts including central tendency, dispersion, covariance, and more, learning how to incorporate them into your analysis. You'll also practice how Data Scientists perform hypothesis testing to uncover insights, and you'll build predictive models using linear and logistic regression analysis.

Perform Advanced Data Work Using Industry Tools

Data Scientists use an ecosystem of tools to help them perform more advanced work quickly and efficiently. You'll learn how to work with Python packages and libraries to extend Python's capabilities, and use command line and git to manage your code. You'll also explore new tools commonly used in data science – the programming language R, and Tidyverse (a collection of packages), among others.

UNIT 3

Machine Learning Techniques

Machine learning is an integral part of data science and has become commonplace today, powering many of the digital services and technologies used by businesses and consumers. In this unit, you'll dive deep into machine learning fundamentals, and explore a variety of techniques and algorithms used as part of this subset of data science. You'll also explore a variety of industry tools used to build machine learning models and gain hands-on practice learning and applying machine learning concepts.

  • Python
  • Anaconda
  • Notebooks
  • Matplotlib
  • NumPy
  • Pandas
  • Seaborn
  • Scikit-learn
  • Keras
  • Unit 3 tool: tensor-flow.svg
  • Unit 3 tool: pytorch.svg
KEY SKILLS:
Machine Learning
Exploratory Data Analysis (EDA)
Supervised Learning
Unsupervised Learning
Feature Engineering
Text Analysis (NLP) & Image Processing
Model Evaluation

Explore Essential Machine Learning Concepts and Cutting-Edge Industry Tools

Explore what machine learning actually is, and how it can be applied in practical, real-world scenarios. You'll also use Python, in conjunction with a number of packages and other tools to understand how machine learning models function, and practice applying supervised and unsupervised machine learning techniques.

Apply Machine Learning for Data Analysis & Predictive Modeling

Learn to perform exploratory data analysis and feature engineering to explore trends in diverse data sets. You'll also learn to perform predictive modeling and how to work with unstructured data like natural language text and images in machine learning models. Understand how to evaluate models to determine the accuracy of your results.

UNIT 4

Big Data Fundamentals With Machine Learning

New data of varying types are constantly being produced at a staggering rate through the increased use of technology from individuals and organizations. From images, to text, to sensor data, and more, Data Scientists must be capable of handling, organizing, and analyzing these massive quantities of data. Together with machine learning, big data can be used to provide unique insights and powerful capabilities, like natural language processing and more. In this unit, you will be exposed to the world of big data, and leverage industry tools to learn and apply key concepts related to big data, machine learning, and deep learning.

  • Python
  • Anaconda
  • Notebooks
  • Scikit-learn
  • NetworkX
  • Amazon Web Services
  • Unit 4 tool: hadoop.svg
  • Unit 4 tool: spark.svg
  • Apache Hive
KEY SKILLS:
Cloud Fundamentals
Recommender Systems
Big Data Analysis
Machine Learning

Learn Big Data Fundamentals

Big data sets are often diverse, containing information from different sources and in different formats. This reality requires a number of individuals and different technologies to effectively manage big data. You'll gain a strong foundation around big data, and explore the technology, architecture, people and processes used to work with big data in the real world.

Perform Meaningful Big Data Analysis

Practice using industry tools including Amazon Web Services, Hadoop and more to set up big data architecture and work with big data sets. You'll learn methods to manipulate and organize data to perform meaningful analysis, and solve data problems.

Explore Diverse Machine Learning Techniques & Models

Building on your understanding of machine learning, you'll explore new techniques, concepts, and models and when to use them. Some of these topics include; recommender systems, machine learning pipelines, automation, deep learning, and machine learning as a data science product.

UNIT 5

Professional Development

Data science is a diverse field, requiring a number of different skills. In order to provide value in the workplace, Data Scientists need some complementary knowledge to support their core skills. In this unit, you'll round out your learning experience by exploring important data science topics including Design Thinking, Agile, and more. Understanding these topics and developing skills around them will help you collaborate with others, communicate with key stakeholders, and integrate your capabilities into larger projects. In this unit, you'll also complete your Capstone Project, and dive into preparing for your new career with BrainStation's Career Accelerator Program.

  • Github
  • Google Slides
  • Loom
KEY SKILLS:
Agile
Data Science Portfolio Development
Design Thinking
Whiteboarding
Career Acceleration
Presentation & Communication

Learn Essential Skills for the Workplace

Successful Data Scientists are able to approach problems creatively, work with teams, and clearly communicate key insights. You'll explore the importance of Design Thinking to help you approach data science problems, and learn about the Agile Methodology – commonly used by digital and technology teams. You'll also build your presentation skills and learn how to capture the attention of a diverse audience to deliver key insights.

Explore Ethics for Data Science

Data is highly sensitive and needs to be handled appropriately and analyzed correctly to provide accurate results. Therefore, Data Scientists have a responsibility to understand the ethics of their work. Through case studies you'll learn about the importance of ethics in data science, and explore key concepts that should be considered in data projects.

Prepare to Launch Your New Career

Go deep on professional development and prepare to launch your new career with BrainStation's Career Accelerator Program. Build your professional presence using Github to host your work and create a portfolio, and prepare to present yourself and your work to potential employers.

demo day

Demo Day: Meet Employers and Build Your Network

Demo Day is a celebration of everything you've learned and accomplished in your bootcamp. It's where you'll showcase your final project among your peers and hundreds of hiring managers, data professionals, and alumni from cutting-edge companies that need digital skills.

Available Full-Time or Part-Time

BrainStation bootcamps are designed to support learning and career outcomes with flexibility in mind, through either full-time or part-time bootcamp options. See what a typical day in our bootcamps might look like when learning at one of our state-of-the-art campuses, or, explore part-time learning options through our live, online immersive classroom.

Full-Time Program

Classes on Monday to Friday

10:15 AM

Pre-Class prep

From the comfort of your home, grab a coffee and some snacks to kick-start your day.

10:30 AM

Morning kickoff

Jump into a morning kickoff, focused on reviewing critical content, introducing a new topic, or diving into a hands-on activity to prepare you for the data science work ahead.

11:00 AM

Lecture

Explore new topics through interactive lectures filled with code demos, real-world examples, and bite-sized activities to help you learn and apply new concepts. Lectures often involve the use of Jupyter Notebooks, a Python development tool that provides an interactive, self-contained coding environment to help you experiment, test new code, and learn new skills quickly.

1:30 PM

Lunch

Take a break and recharge over lunch. Connect with your peers online or take some time to step away and take care of items that come up during the day.

2:30 PM

Lecture and lab challenge

Close off the topics from the morning lecture, or extend your learning by exploring new data science concepts in an afternoon lecture. Develop your skills by practicing what you've just learned through a structured lab challenge – both as an individual and through small groups, or write code live, alongside a demonstration from your Educator.

4:30 PM

Project work and one-on-one coaching sessions

Incrementally apply what you've learned through structured unit projects, and work with a member of the education team for personalized support and development, preparing you for your new career.

6:30 PM

End of day

Close off a dynamic learning day and recharge.

Part Time

Classes on Tuesday, Thursday and Saturday

BrainStation's Part-Time Bootcamps cover the same learning material, delivered on evenings and weekends, including scheduled breaks throughout the program. They are designed to fit into your life, making it easier than ever to access our transformational learning experiences. Speak with a Learning Advisor to understand more about the Part-Time opportunity and how you can join!

View Tuition, Financing Options, and More in the Program Package

View the Program Package to access:

  • Tuition details and scholarships
  • Financing options
  • Employer sponsorship
career services staff

Career Services That Get You Hired

We're in it together. During your BrainStation bootcamp and beyond, work with BrainStation's dedicated Career Success team to help launch your new data science career track in a structured and accountability-based environment. In addition to meeting with your peers and our Career Success team members, you'll have access to a variety of world-class career services that have been proven with thousands of BrainStation bootcamp graduates.

Career Support From Day 1

Your career transformation begins on day 1. Kick off your program with goal-setting and career prep that sets you up for success. From the first day, throughout the program and beyond, we're with you to transform your career.

Hands-On Workshops Throughout the Program

Your BrainStation bootcamp is designed with career success in mind, and includes regular workshops that prepare you to tell your story and master your data science job search with resume, LinkedIn, and interviewing support and guidance.

1-on-1 Support When You Need It

Everyone's data science career track journey is different, so you'll have 1-on-1 support from BrainStation's dedicated Career Success and career coach team to direct your career prep and help you navigate your own unique career transformation.

What Our Graduates Are Saying

Daria Aza

Daria Aza

Associate Data Analyst at Manulife

The most valuable skills I learned are related to time management and being resourceful. I can now understand the root of any problem on the fly and quickly find a solution for it, even if it involves learning new things rapidly to complete the task. . . .

I have my first real job in the industry and I'm applying everything I've learned at BrainStation!

Read Full Testimonial
Tom Keith

Tom Keith

Data Scientist at Bell

The highlights were the skills learned, projects completed, and confidence gained to start a new career in data along with being surrounded by such amazing like-minded peers is very inspiring and motivating. . . Visit the campus on Demo Day and witness for yourself what is possible with the program. The passion the students have for their projects is inspiring.

Read Full Testimonial
Hannah Cheng

Hannah Cheng

Data Scientist at EllisDon

I really appreciated the Instructors' patience and expertise in helping the students get through a steep learning curve. Especially our Associate Instructor. . . he created a really a great learning experience and spent extra hours to help us with our capstone projects. . . .

BrainStation provided me with the essential programming skills and a strong foundation in basic data science theories and knowledge. Furthermore, I was given clear directions on how to position myself strategically during the job hunt process.

Read Full Testimonial

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