Become a Data Scientist
on Your Evenings and Weekends
BrainStation's bootcamps are built from the ground up for working professionals, so you can upgrade your skills while continuing to work at your current job.
-
Flexible Learning Designed for Working Professionals
- Level up without interrupting your career or giving up your salary.
- Score points by immediately applying learnings to your job.
- Planned breaks help you balance your commitment and succeed.
-
Build Your Skills and an Industry-Ready Portfolio
Throughout the program, you'll not only transform your skills: you’ll create a professional, industry-ready portfolio that highlights everything you've learned, tailored to your specific career goals.
View Curriculum -
Personalized, 1-on-1 Career Support From Day 1
Whether you're looking to change careers or level up your skills within your current company, BrainStation's Career Success team will work with you to develop a unique career success plan based on your specific goals.
Explore Career Services
Approved as a vocational program under the Ontario Career Colleges Act, 2005
Alumni Stories Data Science
Bowen
Analytics Engineer
Aviel
Senior Data Analyst
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
Bootcamp Learning,
Designed for Professionals
The Balanced Weekly Schedule
You'll attend two evening classes on weekdays, paired with one weekend session every other week. This rhythm helps you stay consistently engaged, without overwhelming your evenings or disrupting your weekends.
Industry Sprint Weeks
Apply everything you've learned across two separate 4-day industry sprints, where you'll collaborate in cross-functional teams to tackle challenges sourced from real leading companies. Present your solution to a panel of business representatives and demonstrate everything you've learned.
Industry Sprint project
Designing a Data-Driven Travel Recommendation Engine
How can Airbnb create a more personalized recommendation engine to drive better customer experiences based on user preferences and history?
Industry Sprint project
Personalizing Content Discovery on The HBO Max App
How might HBO Max help users easily discover content they'll love? What innovations can be brought to the HBO Max app that supports content discovery?
Industry Sprint project
Driving Podcast Innovation With Spotify
How might Spotify discover the ideal podcast format for listeners considering short-form vs. long-form durations, and seamlessly incorporate it into the in-app podcast experience?
Industry Sprint project
Amplifying Fan Engagement Through Digital Innovation
How can the NBA use what it knows about its fans to increase fan engagement with the League by leveraging digital innovation?
Past Industry Sprint Partners Include:
Data Science Bootcamp Curriculum
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.
-
-
- 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.
-
-
-
-
-
-
-
-
-
-
- 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
Artificial Intelligence & 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.
-
-
-
-
-
-
-
-
-
-
-
-
-
- Key Skills:
- Generative AI
- Prompt Engineering
- Machine Learning
- Supervised Learning
- Unsupervised Learning
- Feature Engineering
- Text Analysis (NLP) & Image Processing
- Model Evaluation
- Exploratory Data Analysis (EDA)
Learn Essential Machine Learning Concepts and Cutting-Edge Industry Tools
Explore machine learning and how it can be applied in practical, real-world scenarios. You'll also use Python, along 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 Techniques for Data Analysis & Predictive Modeling
Learn to perform exploratory data analysis and feature engineering to explore trends in diverse data sets. You'll perform predictive modeling and work with unstructured data like natural language text and images in machine learning models. Learn to evaluate models to determine the accuracy of your results.
Explore Generative AI & Prompt Engineering
Learn about Large Language Models (LLMs) including ChatGPT, and the AI technologies behind them, including neural networks and deep learning. Explore prompt engineering techniques to maximize your results. Practice evaluating and improving model performance by fine-tuning a pre-trained language model. Explore how to deploy generative AI models.
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.
-
-
-
-
-
-
-
-
- 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.
-
-
- Key Skills:
- Agile
- Data Science Portfolio Development
- Design Thinking
- Whiteboarding
- Presentation & Communication
Learn Essential Skills for the Workplace
Successful Data Scientists are able to approach problems creatively, work with cross-functional teams, and clearly communicate key insights. 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 your Portfolio
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.
Expert Career Support, Designed For You
No two career paths look the same, and your career support shouldn't either. As a bootcamp graduate, you'll work 1:1 with a Career Advisor to build a strategy that fits you and your unique career goals.
Choose your path:
Career Advancer
Looking to level up in your current company
Career Changer
Ready to make the leap into something new
No matter your path, we'll help build a customized Career Roadmap to get you there.
Career Advancers
Reskilling or upskilling within an existing role
Identify internal growth opportunities that align with your upgraded skill set
Work with your Career Advisor to identify internal roles or promotion paths that align with your new skill set. Whether you're aiming for a formal role change or a more technical scope in your current job, we'll help you spot the opportunities and strategize how to pursue them.
Reframe your resume and online presence to reflect your evolving career story
Together, you'll update your resume, LinkedIn, and internal profiles to reflect your evolving career story. Learn how to position your new skills and past achievements in a way that resonates with internal decision-makers and showcases your readiness for what's next.
Develop an internal networking plan to create visibility and mentorship
Develop a personalized internal networking plan to increase your visibility within your organization. Get guidance on how to approach leaders, identify potential mentors, and build relationships that support your growth and open doors.
Practice internal career conversations with specialized mock interview practice
From pitching yourself for a new role to asking for a promotion, your Career Advisor will help you practice and refine your message. Through 1-on-1 mock sessions, you'll build the confidence to communicate your goals and value clearly in internal interviews and career development conversations.
Career Changers
Transitioning to a brand new career
Translate your past experience into a compelling narrative for your new role
Your experience is valuable. Learn how to translate your previous roles into a narrative that makes sense to employers in your target industry. We'll help you craft a compelling story that connects your past to your future, and shows hiring managers exactly why you're the right fit.
Tailor your resume and LinkedIn for your new target industry
Work together to update your resume and online presence to reflect the expectations of your target industry. From formatting and tone to highlighting transferable skills, your dedicated Career Advisor will help ensure you stand out in a competitive job market.
Build a tailored job search strategy designed around your timeline and bandwidth
Receive a job search plan tailored to your timeline, bandwidth, and priorities. Whether you need to job hunt on nights and weekends or take a phased approach, your Career Advisor will help you stay focused, organized, and accountable, without burning out.
Practice behavioral and technical interviews with mock interview sessions
From “Tell me about yourself” to technical whiteboarding, we've got you covered. You'll rehearse 1-on-1 with your Career Advisor to gain confidence, refine your responses, and prepare for the interviews that matter most in your new field.
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
Join our growing community of 30,000+ alumni.
Frequently Asked Questions
-
What is the difference between data science and data analytics?
Data Scientists, generally speaking, have more technical knowledge and expertise than Data Analysts. Because of this, data science positions are typically more senior in nature compared to roles that involve data analysis skills.
In BrainStation's latest Digital Skills Survey, respondents working in data science said the objective of their work was the optimization of an existing platform, product or system (45 percent), or the development of new ones (42 percent). In unpacking their responses, we found that the work of “optimizing existing solutions” tends to fall to Business Analysts and Data Analysts, while the higher-order work of “developing new solutions” more often falls to Researchers and Data Scientists. What this suggests is that Data Scientists, who typically have more experience and more specialized expertise, are more likely to be involved in decision-making at a leadership level.
-
Will I earn a data science diploma from this bootcamp?
Yes, when you complete the Data Science bootcamp, you will earn a BrainStation Data Science diploma, which can boost your LinkedIn profile and resume, helping you stand out in the job market when starting a new career in data science.
-
What are the outcomes for Data Science bootcamp graduates?
Speak to a learning advisor to get more information about bootcamp graduate outcomes. We do not guarantee that graduates will get a job, but we are proud to have launched thousands of graduates' careers. We offer comprehensive Career Success programming and believe that students who invest both during and after the bootcamp will have the best outcomes.
-
What payment options do you offer?
BrainStation offers some of the most competitive payment options for an online coding bootcamp, with a range of flexible payment plans.
These include:
-
Monthly payment installments
Allowing you to split your tuition into smaller monthly payments.
-
Employer sponsorship
Get your tuition reimbursed by your employer.
-
Monthly payment installments
-
What tools and programming languages do we learn?
Students in Data Science bootcamps use Python, R, Hadoop, Tableau, and more to learn statistical methods and data modeling, including regression techniques, machine learning, deep learning, data visualization, and more.
-
What is the difference between this and the Data Science certification?
BrainStation's Data Science bootcamps are intensive learning experiences designed to transform your skillset and help you launch a new career in data. Throughout the Data Science program, Data Science bootcamp students develop and complete five projects including one major capstone project portfolio piece, using real-world data science and data visualization techniques. By the end of the Data Science program, graduates will have the skills, experience, and portfolio needed to land a job in data, and will have completed career prep to set them up for success.
BrainStation's Data Science certification courses, on the other hand, are flexible, professional development courses offered part-time, over 4 or 8 weeks. Taught by industry experts, the Data Science course is a project-based, hands-on learning experience, allowing you to develop data science skills and learn the latest data tools and technologies.
-
What kind of jobs can this bootcamp get me?
Because the work Data Scientists do touches so many different industries and disciplines, the roles within a data science career go by many different names, including:
Data Scientist
Data Analyst
Data Architect
Data Engineer
Statistician
Database Administrator
Business Analyst
Data and Analytics Manager
Researcher
Machine Learning Engineer
Quantitative Analyst
Many other variations exist and these will continue to evolve as data science becomes more prevalent.
-
What kind of career services do I get?
BrainStation's Career Success and career coach team is dedicated to creating a learning experience within this data scientist program that extends far beyond the classroom, providing a framework for success built on insights and input from technical recruiters, career coaches, BrainStation Educators, and alumni.
Through BrainStation's Data Science bootcamps, the team will support you on your data science career track and help you refine your portfolio, connect you with industry professionals, prepare you for the career search and interview process, and showcase your work to peers and hiring partners.