Become a
Data Scientist
Graduate Success
90%+
hiring rate globally within 180 days of graduating
Thousands
of graduates from around the world
cutting-edge curriculum
connect with top employers
world-class career services
BrainStation Students Work at Amazing Companies
BrainStation taught me how to be adaptable and helped me feel confident that I could tackle new challenges and technologies. I'm really glad BrainStation gave me that breadth of education, because the job of a data scientist requires you to make use of everything you know.
Willie Costello
Senior Data Scientist at Shopify
BrainStation taught me how to be adaptable and helped me feel confident that I could tackle new challenges and technologies. I'm really glad BrainStation gave me that breadth of education, because the job of a data scientist requires you to make use of everything you know.
Alex Jeong
Data Analyst at Capital One
6,500+ Hiring Partners in Toronto and 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.
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.
Location
Learn in the Center of Toronto's Tech Hub
Located in the heart of Toronto's Tech Alley, BrainStation is at the center of Toronto's tech scene, surrounded by the best tech companies in Toronto. In addition to courses, BrainStation Toronto offers training sessions, industry events, expert panel discussions, and more.
BrainStation Toronto460 King St W, Toronto, ON M5V 1L7, Canada
Due to the heritage nature of 460 King the upper floors of the building are stair-access only (no elevators). Please contact us in advance regarding any accessibility questions or concerns for your course or program of interest. BrainStation also offers Online learning options.
Upcoming Program Dates & Campuses
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| Part-Time | February 27 October 28 | October 28 |
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| Full-Time | February 28 May 19 | May 19 | Early Application ends February 10 |
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| Full-Time | April 11 June 30 | June 30 | Advanced Admissions ends March 3 |
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| Part-Time | April 11 December 7 | December 7 | Advanced Admissions ends March 3 |
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| Full-Time | May 16 August 4 | August 4 |
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| Full-Time | July 11 September 29 | September 29 |
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| Part-Time | July 11 March 7 | March 7 |
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| Full-Time | August 15 November 3 | November 3 |
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| Pace | First Class | Last Class | |||
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| Full-Time | April 11 June 30 | June 30 | Advanced Admissions ends February 17 | Apply Now | |
| Full-Time | June 20 September 8 | September 8 | Apply Now | ||
| Full-Time | September 12 December 1 | December 1 | Apply Now | ||
| Full-Time | November 14 February 16 | February 16 | Apply Now |
This Course is Offered Online in Miami
| Pace | First Class | Last Class | |||
|---|---|---|---|---|---|
| Full-Time | April 11 June 30 | June 30 | Advanced Admissions ends February 17 | Apply Now | |
| Full-Time | June 20 September 8 | September 8 | Apply Now | ||
| Full-Time | September 12 December 1 | December 1 | Apply Now | ||
| Full-Time | November 14 February 16 | February 16 | 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.
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- 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.
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- 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.
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- 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.
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- 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.
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- Agile
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- 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: 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, 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
8:45 AM
Pre-Class prep
Grab a coffee and pastry to kick-start your day, and arrive at the campus to get settled in.
9:00 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.
9:30 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.
12:00 PM
Lunch
Recharge over lunch with your peers at the campus, or visit some top-notch eateries located moments away.
1:00 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.
3:00 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.
5:00 PM
End of day
Close off a dynamic learning day and head home to recharge.
Looking to attend Part-Time?
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View Online Bootcamp
View Tuition, Financing Options, and More in the Program Package
View the Program Package to access:
- Tuition details and scholarships
- Financing options
- Employer sponsorship
Top Rated Bootcamp By Students & Employers
BrainStation has once again shown that they are modernizing education for future career professionals. Getting to see the amazing work accomplished by their diverse and talented students has been an extraordinarily inspiring experience.
Dan Silveira
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.
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.
Hannah Cheng
Data Scientist at EllisDon
What Our Graduates Are Saying
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
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
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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Frequently Asked Questions
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What is the difference between data science and data analytics?