Data Science Course Overview
Uncover New Insights From Data sets
In this Data Science course, use leading methods, including categorization and regression, to analyze large data sets and generate information from disparate data.
Make Data-Driven Predictions
Learn how to build categorical and numerical models that can predict results before they happen.
Generate Striking Data Visualization
Effectively communicate the results of your analysis by building powerful visualizations in Python Packages.
Earn a BrainStation Data Science Certificate
When you complete your course, you will earn a BrainStation certificate, which can boost your LinkedIn profile and resume, helping you stand out in the job market.
Master Data Science Tools
Your Final Data Science Project
To earn your Data Science certificate, complete a real-world analysis project on a data set of your choosing. This will be an end-to-end analysis project, requiring you to collect and clean data, develop a hypothesis, and model the data to prove or disprove it. You will then create visualizations to present your insights in a meaningful way.
What You'll Learn
Learn From Industry Leading Guest Speakers
BrainStation students get access to exclusive guest lectures and panel discussion events led by some of the world's leading subject matter experts and professionals.
Recent Industry Guests
Head of EMEA at Shopify Plus
Co-founder and CEO at Wealthsimple
Head, Shaping the Future of Media at World Economic Forum
SVP, Data Science and Engineering at Shopify
Senior Data Scientist at Squarespace
GM & VP of Product at Shopify
Senior Product Manager at The New York Times
Chief Product Officer at Ellevest
VP of Marketing at Chief
VP, Digital Strategy & Product at Chipotle
ECD at Wealthsimple
Head of Marketing at Google
VP, Brand & Integrated Marketing at Refinery29
Interested in what a typical day looks like?
The BrainStation Experience
Learn Cutting-Edge Techniques
Taught by Instructors with experience working in the field, learn the most in-demand concepts, skills, and tools.
Gain Hands-On Experience
Work on projects in a collaborative setting to apply new concepts and techniques and develop your skills.
Use Synapse, BrainStation's intuitive, data-driven learning platform to access course content, as well as additional quizzes, challenges, and resources.
What Our Students Are Saying
What our students say
The highlight was definitely the people. I think that's what makes the class so special.
Max Smillie, Regional Community Lead & Hub Curator at lululemonRead Full Story
Join a Community of World-Class Professionals
When you take a BrainStation course, you are learning with the very best. Enroll today to tap into a global network of instructors and students at some of the most innovative organizations in the world.
Flexible Payment Options
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 course fees and payment options, view our course package.
Monthly Payment Plans
Split your tuition into smaller monthly payments.
Get your tuition reimbursed by your employer.
We offer a range of scholarships to make learning more accessible.
Please be advised: all scholarships must be approved and applied prior to enrollment in a BrainStation course or program.
|First Class||Last Class||# of Classes||Class Times|
|January 27 – March 31||March 31||10 Wednesdays||9:30pm - 12:30am EST|
|February 16 – April 20||April 20||10 Tuesdays||6:30pm - 9:30pm EST|
|February 17 – April 21||April 21||10 Wednesdays||1:30pm - 4:30pm EST|
|February 23 – April 27||April 27||10 Tuesdays||9:30pm - 12:30am EST|
|February 27 – March 27||March 27||5 Saturdays||10:30am - 5:30pm EST|
|March 23 – May 25||May 25||10 Tuesdays||1:30pm - 4:30pm EDT|
|March 25 – May 27||May 27||10 Thursdays||6:30pm - 9:30pm EDT|
|March 31 – June 2||June 2||10 Wednesdays||9:30pm - 12:30am EDT|
|April 11 – May 9||May 9||5 Sundays||10:30am - 5:30pm EDT|
|April 27 – June 29||June 29||10 Tuesdays||6:30pm - 9:30pm EDT|
|April 28 – June 30||June 30||10 Wednesdays||1:30pm - 4:30pm EDT|
|May 4 – July 6||July 6||10 Tuesdays||9:30pm - 12:30am EDT|
|May 8 – June 19||June 19||5 Saturdays||10:30am - 5:30pm EDT|
Frequently Asked Questions
What is the difference between data science and data analytics?
If you want to become a Data Scientist, you should know this is not the same thing as becoming a Data Analyst, which is typically a more junior position. Data Scientists, generally speaking, have more technical knowledge and expertise, and data science positions are usually more senior in nature compared to data analyst positions.
BrainStation’s Data Science course can be considered an intermediate-level data science course, as it dives into prescriptive and predictive analytics, machine learning, artificial intelligence, and programming languages. BrainStation’s Data Analytics course, on the other hand, is more beginner-friendly with a focus on descriptive analytics, industry standard tools and software.
Will I earn a data science certificate from this course?
Yes, when you complete the Data Science course, you will earn a BrainStation Data Science Certificate, which can boost your LinkedIn profile and resume, helping you stand out in the job market and when applying for data science positions.
What payment options do you offer?
BrainStation offers some of the most competitive payment options for data science training, with a range of flexible plans and scholarship opportunities.
Monthly payment installments
Allowing you to split your tuition into smaller monthly payments.
Get your tuition reimbursed by your employer.
We offer a range of scholarships to make learning data science more accessible.
- Monthly payment installments
Are there any prerequisites for this data science course?
BrainStation’s Data Science course is an intermediate-level course. Experience using Python is needed and some knowledge of statistics is recommended. If you are new to Python, BrainStation’s Python Programming course is at a beginner-level, and can help you prepare for data science and machine learning training.
What kind of backgrounds do people have that take this course?
By enrolling in the Data Science course, you can expect to learn from an Instructor with experience in the field, and to collaborate with like-minded, ambitious professionals keen to boost their data science skills.
Professional backgrounds vary quite a bit in the Data Science course, as data science skills are now highly valued across a range of fields and industries, including finance, marketing, healthcare, retail, and more.
From an educational point of view, 80 percent of learners at BrainStation have a post-secondary education, with 20 percent having earned a Master’s degree or PhD.
What tools and programming languages do we learn?
By taking the Data Science course, you will gain first-hand experience with Anaconda and Jupyter Notebooks, and you will learn to program with Python, one of the most popular programming languages used by Data Scientists.
You will use data science and Python to import, clean, manipulate, and analyze various types of data. You will then learn to build linear models for numerical data and categorical models for non-numerical types of data. Finally, using Python packages, you will construct visualizations that can help tell a story with your analyses and predictions.
What is the difference between this and the full-time program?
BrainStation’s Data Science course is a flexible, professional development course offered part-time, over 10 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.
BrainStation's Data Science Bootcamp, on the other hand, is an intensive, full-time learning experience, delivered in 12 weeks. The Full-Time Data Science program at BrainStation builds on past educational and work experiences to transform skill sets and prepare students for a new career in data. Throughout the program, students develop and complete five projects and one major portfolio piece, using real-world data and machine learning. By the end of the program, graduates will have the skills, experience, and portfolio needed to dive into a career in data.