Professional Certificate
Data Science Course Vancouver
Earn a Data Science certificate to accelerate your data career with high-demand skills. Learn the foundations of Data Science, Python, data visualizations, modeling, machine learning, and more.
View the Course Package to access:
- Tuition details and scholarships
- Financing options
- Employer sponsorship
The knowledge I gained through BrainStation supports my career by enabling me to do my role more confidently and efficiently.
Chandni Shah
People Analytics Partner at AIG
Learn Essential Data Science Skills Live, Led by Experienced Data Leaders
With the rise of big data, top companies around the world need Data Scientist teams that can collect, organize, model, and examine large amounts of data. In this course, learn the foundations of data science and perform an end-to-end statistical analysis, learn to make data-driven predictions, and present results in a data visualization.
Format
Online classroom. Live and expert-led.
Skill Level
Ideal for learners looking to upskill.
Real Outcomes
Build an interview-ready portfolio project.
Professional Certificate
Earn a BrainStation Data Science Certificate.
Upcoming Course Dates & Campuses
Due to COVID-19, some courses are currently being held online.
| First Class | Last Class | # of Classes | Class Times | ||
|---|---|---|---|---|---|
| November 1 January 23 | January 23 | 10 Mondays | 6:30pm - 9:30pm PDT | Enroll Now | |
| November 2 January 18 | January 18 | 10 Tuesdays | 3:30pm - 6:30pm PDT | Enroll Now | |
| November 13 December 18 | December 18 | 5 Saturdays | 7:30am - 2:30pm PST | Enroll Now | |
| December 2 February 17 | February 17 | 10 Thursdays | 3:30pm - 6:30pm PST | Enroll Now | |
| January 16 February 13 | February 13 | 5 Sundays | 7:30am - 2:30pm PST | Enroll Now | |
| January 18 March 21 | March 21 | 10 Tuesdays | 6:30pm - 9:30pm PST | Enroll Now | |
| January 19 March 23 | March 23 | 10 Wednesdays | 3:30pm - 6:30pm PST | Enroll Now | |
| January 20 March 24 | March 24 | 10 Thursdays | 10:30am - 1:30pm PST | Enroll Now |
New York
This Course is Offered Online in Miami
This Course is Offered Online in London
This Course is Offered Online in Toronto
This Course is Offered Online in Vancouver
UNIT 1
Data Science Foundations
Python programming has emerged as an essential tool for data science. Launch into the course by learning the Python programming language, and use leading data science packages like NumPy and Pandas. With these tools in place, you’ll complete a variety of hands-on projects with code and learn to query data and perform data manipulation, building a strong foundation for what you’ll learn throughout the rest of the course.
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Python
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Anaconda
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Notebooks
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NumPy
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Pandas
- KEY SKILLS:
- Python Fundamentals
- Data Queries & Data Manipulation
- Data Organization
- Programming Fundamentals
Learn Python Fundamentals
Python is one of the most important tools for a Data Scientist. Through real-world projects, quickly get up to speed with the Python and programming basics you'll need in the field of data and as a future Data Scientist.
Explore Essential Data Science Tools
Learn how to apply Python tools like NumPy and Pandas to perform practical, real-world data analysis and uncover business analytics insights.
Manage and Analyze Data
Discover how a Data Scientist can integrate different data sets in order to discover new actionable insights by using techniques such as joins, sorting and grouping, and transforming and aggregating.
UNIT 2
Data Cleaning, Visualization, & Analysis
A Data Scientist requires great data to perform great data analysis. Learn data cleaning and data wrangling techniques to ensure your data is organized, structured, and consistent. Learn to translate your data into a compelling data visualization, and use Python packages to facilitate additional statistical analysis, so you can tell an effective story with your data and get the most out of your work.
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Python
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Seaborn
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- KEY SKILLS:
- Data Analysis
- Data Wrangling
- Data Visualization
Create Data Visualizations
Using Python packages, learn to create a variety of data visualizations. Understand the use cases for each data visualization so you know when to use them.
Clean and Prepare Data
Learn the essentials of data cleaning and data wrangling so you can prepare your data sets for statistical analysis, modeling, and decision making.
UNIT 3
Statistics & Modeling
Review important statistical analysis concepts and learn how they apply to data modeling and decision making. Using real data problems encountered in the data science field, learn to build both linear and categorical models, and understand when to use them. Practice applying these techniques to create models that help you make a predictive analysis.
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Python
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Pandas
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NumPy
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Statsmodels
- KEY SKILLS:
- Statistics
- Data Relationships
- Hypothesis Testing
- Data Modeling
- Predictive Analytics & Extrapolation
Learn Essential Statistical Analysis Concepts
Review statistics foundations like the measures of central tendency and dispersion, covariance, and correlation, and understand how to incorporate them into your analysis.
Define and Test Your Hypothesis
Practice how Data Scientists perform hypothesis testing as part of their data analysis. Learn how to calculate and apply statistical significance, and more.
Create Data Science Models
Learn different modeling techniques for numerical and non-numerical data. Build and run various types of models on real datasets to uncover patterns and make predictions.
UNIT 4
Introduction to Machine Learning
Machine learning has emerged as a truly disruptive technology and data science capability. Discover common machine learning techniques, and machine learning algorithms, and learn how they’re applied in practical, real-world scenarios.
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Python
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Pandas
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NumPy
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Scikit-learn
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SciPy
- KEY SKILLS:
- Machine Learning Fundamentals
- Data Classification Models
- Decision Trees
- Model Evaluation
- Categorical Predictions
Explore the Fundamentals of Machine Learning
Discover what machine learning is and how to apply it effectively within the real world. By understanding the constraints and techniques, you’ll be prepared to identify opportunities for machine learning, and take the steps to implement it.
Understand Machine Learning Models
Learn a variety of machine learning models and machine learning algorithms, along with the scenarios they are used in. Explore models like decision trees, Naive Bayes classification, regression model evaluation, cross-validation, and more.
Taught by Experienced Industry Experts
BrainStation Instructors are experienced practitioners who work at the world's most innovative companies. They're experts in their field, and enter the classroom with years of experience making sure you're learning the most up-to-date and practical skills companies around the world need.
Built With Experts From The World's Most Innovative Companies
BrainStation partners with industry experts when building all of our courses, ensuring every course covers the latest industry-relevant topics and tools businesses need. We continue to work with our network of experts to update our courses so they're always up to date.
Build and Showcase Your Data Science Portfolio Project
Showcase everything you’ve learned with a unique portfolio project by completing a real-world analysis on a data set of your choosing. Every week in your Data Science class, you’ll be provided with clear steps to develop your final project. By the end of the course, you’ll have used programming to collect data and complete data wrangling, developed a hypothesis, and modeled your data to prove or disprove it. Finally, you’ll construct a data visualization to present your insights in a meaningful way.
View Tuition, Financing Options, and More in the Program Package
View the Course Package to access:
- Tuition details and scholarships
- Financing options
- Employer sponsorship
Earn a BrainStation Data Science Certificate
Upon completing BrainStation’s Data Science Course, you’ll receive an industry-recognized professional certificate to share with your network and showcase all that you’ve learned. BrainStation certificates are formatted for sharing on LinkedIn.
Location
Learn in the Center of Vancouver
Located in the heart of the tech & retail district, BrainStation is at the center of Vancouver’s business scene, surrounded by the best tech companies in Vancouver. In addition to courses, BrainStation Vancouver offers training sessions, industry events, expert panel discussions, and more.
455 Granville St #400, Vancouver, BC, V6C 1T1What Our Graduates Are Saying
Dylan Hebb
Senior Consultant at Content Bloom
When you take a BrainStation course, you're learning with some of the very best in the industry. You collaborate with product managers, digital strategists, UX designers, and all kinds of other backgrounds.
#brainstation #BeFutureProof #LearningAtBrainStation #remotelearning
Andrew Gosine
Product Designer
Our instructor... was clear, detail oriented, and made the learning environment safe and collaborative. We got a lot of real world examples from him, and all the little details he shared made this entire course special, and more than simply reading a textbook.
Overall, I'm a big advocate for Brainstation's courses - they've proved to be extremely valuable in my career.
Chandni Shah
People Analytics Partner at AIG
The knowledge I gained through BrainStation supports my career by enabling me to do my role more confidently and efficiently... The most valuable skill I learned was being comfortable with being uncomfortable. Expanding your horizons can cause short-term discomfort in exchange for long-term growth.
Read Full Testimonial
Aiden Feltkamp
The data science course is great... Through this class, I learned how to clean and model data, which is the basics of machine learning. The teachers were fantastic and they related everything to practical use. It's fast-paced, but the teachers are great at keeping you up to speed. I would highly recommend this class to anyone who's looking to start on machine learning and data modeling.
Join our growing community of 15,000+ alumni.
Frequently Asked Questions
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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, business intelligence, and industry-standard tools and software like Microsoft Excel and SQL databases.
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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. A data science certification, whether from in-person or online data science courses, can help you stand out in the job market and when applying for positions for Data Scientists.
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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.
These include:
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Monthly payment installments
Allowing you to split your tuition into smaller monthly payments.
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Employer sponsorship
Get your tuition reimbursed by your employer.
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Scholarships
We offer a range of scholarships to make learning data science more accessible.
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Monthly payment installments
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Are there any prerequisites for this data science course?
BrainStation’s Data Science course is an intermediate-level course. Experience programming with Python is needed and some knowledge of statistics is recommended. If you are new to Python, BrainStation’s Python course is at a beginner-level, and can help you prepare for data science and machine learning training.
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What kind of backgrounds do people have that take this course?
By enrolling in the Data Science course, you can expect to learn data science from high-demand Instructors with experience as Data Scientists in the data science field. You will also have the opportunity to collaborate with like-minded, ambitious professionals keen to boost their data science skills or become Data Scientists.
Professional backgrounds vary quite a bit in the Data Science course, as a data science background is 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.
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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 high-demand 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.
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What is the difference between this and the Data Science bootcamp?
BrainStation's Data Science course is a flexible, professional development course offered part-time, over 5 or 10 weeks. Taught by industry experts, the Data Science course is a project-based, hands-on learning experience, allowing you to develop high-demand data science skills and learn the latest data tools and technologies.
BrainStation's Data Science bootcamp, on the other hand, is an intensive learning experience designed to transform your skillset and help you launch a new career in data. Throughout the program, students develop and complete five projects including one major portfolio piece, using real-world data, data-mining, big 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 as Data Scientists.
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