PROFESSIONAL CERTIFICATION
Data Analytics Course Toronto
BrainStation's Data Analytics course was created to help you start your career in data analysis. Earn a data analytics certification while learning high-demand skills used by Data Analysts. Learn how to prepare data, perform data analysis, use data visualization techniques, and more in this Data Analyst course.
View the Course Package to access:
- Tuition details and scholarships
- Financing options
- Employer sponsorship
The highlight of my Data Analytics Course at BrainStation was working with the amazing Instructors, who were willing to go beyond the call to support the learning process.
Nitin Goyal
Senior Business Value Analyst at Hootsuite
Learn Data Analytics in Toronto
BrainStation's Data Analytics courses will help you build the job-ready data skills that are indispensable in today's modern workplace. With more and more data being generated every day, businesses need Data Analysts to analyze data and communicate insights with data visualization tools. Led by experienced data professionals, BrainStation's Data Analytics Course will allow you to learn data analysis, teach you how to work with industry tools and complex datasets, and help you develop essential data skills and knowledge. When you complete BrainStation's Data Analytics courses, you'll graduate with a polished Data Analyst portfolio of real-world data projects.
Learn Data Analytics in Toronto
On campus. Live and expert-led.
Build Data Analytics skills
Ideal for learners looking to upskill.
Get ready for a Data Analytics job
Build an interview-ready Data Analytics portfolio project.
Professional Certificate
Earn a BrainStation Data Analytics Certificate.
This professional development course does not require approval under the Private Career Colleges Act of Ontario.
Data Analytics Courses
Ready to get started learning data analysis? Take BrainStation's Data Analytics courses online or in-person at any of BrainStation's campuses. See below for our list of upcoming Data Analytics courses.
| First Class | Last Class | # of Classes | Class Times | ||
|---|---|---|---|---|---|
| October 11 November 29 | November 29 | 8 Wednesdays |
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| October 21 November 18 | November 18 | 4 Saturdays |
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| October 25 December 13 | December 13 | 8 Wednesdays |
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| October 25 December 13 | December 13 | 8 Wednesdays |
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| November 19 December 17 | December 17 | 4 Sundays |
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| December 5 February 6 | February 6 | 8 Tuesdays |
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| December 5 February 6 | February 6 | 8 Tuesdays |
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| December 7 February 8 | February 8 | 8 Thursdays |
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| January 9 February 27 | February 27 | 8 Tuesdays |
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| January 10 February 28 | February 28 | 8 Wednesdays |
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| January 11 February 29 | February 29 | 8 Thursdays |
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| January 27 February 24 | February 24 | 4 Saturdays |
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| February 6 March 26 | March 26 | 8 Tuesdays |
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| February 22 April 11 | April 11 | 8 Thursdays |
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| March 2 March 23 | March 23 | 4 Saturdays |
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| March 6 April 24 | April 24 | 8 Wednesdays |
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| March 6 April 24 | April 24 | 8 Wednesdays |
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| April 2 May 21 | May 21 | 8 Tuesdays |
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| April 3 May 22 | May 22 | 8 Wednesdays |
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| April 13 May 11 | May 11 | 4 Saturdays |
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| April 30 June 18 | June 18 | 8 Tuesdays |
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| May 1 June 26 | June 26 | 8 Wednesdays |
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| May 12 June 16 | June 16 | 4 Sundays |
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| May 14 July 2 | July 2 | 8 Tuesdays |
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| May 28 July 16 | July 16 | 8 Tuesdays |
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| June 15 July 13 | July 13 | 4 Saturdays |
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| June 26 August 14 | August 14 | 8 Wednesdays |
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| June 26 August 14 | August 14 | 8 Wednesdays |
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| June 27 August 22 | August 22 | 8 Thursdays |
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| First Class | Last Class | # of Classes | Class Times | ||
|---|---|---|---|---|---|
| October 17 December 5 | December 5 | 8 Tuesdays | 6:30pm - 9:30pm EDT | Enroll Now | |
| November 13 January 29 | January 29 | 8 Mondays | 6:30pm - 9:30pm EST | Enroll Now | |
| January 16 March 5 | March 5 | 8 Tuesdays | 6:30pm - 9:30pm EST | Enroll Now | |
| February 21 April 10 | April 10 | 8 Wednesdays | 6:30pm - 9:30pm EST | Enroll Now | |
| March 26 May 14 | May 14 | 8 Tuesdays | 6:30pm - 9:30pm EDT | Enroll Now | |
| May 1 June 26 | June 26 | 8 Wednesdays | 6:30pm - 9:30pm EDT | Enroll Now | |
| June 4 July 23 | July 23 | 8 Tuesdays | 6:30pm - 9:30pm EDT | Enroll Now |
| First Class | Last Class | # of Classes | Class Times | ||
|---|---|---|---|---|---|
| January 16 March 19 | March 19 | 10 Tuesdays | 6:30pm - 9:30pm EST | Enroll Now | |
| February 28 May 1 | May 1 | 10 Wednesdays | 6:30pm - 9:30pm EST | Enroll Now | |
| April 9 June 11 | June 11 | 10 Tuesdays | 6:30pm - 9:30pm EDT | Enroll Now | |
| May 22 July 31 | July 31 | 10 Wednesdays | 6:30pm - 9:30pm EDT | Enroll Now |
| First Class | Last Class | # of Classes | Class Times | ||
|---|---|---|---|---|---|
| October 17 December 5 | December 5 | 8 Tuesdays | 6:30pm - 9:30pm BST | Enroll Now | |
| November 20 January 29 | January 29 | 8 Mondays | 6:30pm - 9:30pm GMT | Enroll Now | |
| January 15 March 4 | March 4 | 8 Mondays | 6:30pm - 9:30pm GMT | Enroll Now | |
| February 21 April 10 | April 10 | 8 Wednesdays | 6:30pm - 9:30pm GMT | Enroll Now | |
| March 26 May 14 | May 14 | 8 Tuesdays | 6:30pm - 9:30pm GMT | Enroll Now | |
| April 29 July 1 | July 1 | 8 Mondays | 6:30pm - 9:30pm BST | Enroll Now | |
| June 4 July 23 | July 23 | 8 Tuesdays | 6:30pm - 9:30pm BST | Enroll Now |
| First Class | Last Class | # of Classes | Class Times | ||
|---|---|---|---|---|---|
| October 12 December 14 | December 14 | 8 Thursdays | 6:30pm - 9:30pm EDT | Enroll Now | |
| November 15 January 17 | January 17 | 8 Wednesdays | 6:30pm - 9:30pm EST | Enroll Now | |
| January 15 March 11 | March 11 | 8 Mondays | 6:30pm - 9:30pm EST | Enroll Now | |
| February 22 April 11 | April 11 | 8 Thursdays | 6:30pm - 9:30pm EST | Enroll Now | |
| March 26 May 14 | May 14 | 8 Tuesdays | 6:30pm - 9:30pm EDT | Enroll Now | |
| May 1 June 19 | June 19 | 8 Wednesdays | 6:30pm - 9:30pm EDT | Enroll Now | |
| June 4 July 23 | July 23 | 8 Tuesdays | 6:30pm - 9:30pm EDT | Enroll Now |
| First Class | Last Class | # of Classes | Class Times | ||
|---|---|---|---|---|---|
| October 11 November 29 | November 29 | 8 Wednesdays | 6:30pm - 9:30pm PDT | Enroll Now | |
| November 16 January 25 | January 25 | 8 Thursdays | 6:30pm - 9:30pm PST | Enroll Now | |
| January 16 March 5 | March 5 | 8 Tuesdays | 6:30pm - 9:30pm PST | Enroll Now | |
| February 22 April 11 | April 11 | 8 Thursdays | 6:30pm - 9:30pm PST | Enroll Now | |
| March 26 May 14 | May 14 | 8 Tuesdays | 6:30pm - 9:30pm PDT | Enroll Now | |
| May 1 June 19 | June 19 | 8 Wednesdays | 6:30pm - 9:30pm PDT | Enroll Now | |
| June 4 July 23 | July 23 | 8 Tuesdays | 6:30pm - 9:30pm PDT | Enroll Now |
Unit 1
Intro to Data Analytics
BrainStation's Data Analytics courses begin with an introduction to data that covers data concepts and techniques. You'll start your data learning journey by developing a framework for solving data problems and learning how to prepare and collect data for data analysis. Translate your learnings into job-ready skills by solving real-world problems with a variety of data sets.
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- Key Skills:
- Analysis Strategy
- Data Problem Solving
- Data Collection
- Data Cleaning
- Advanced Excel
Apply Data Strategy
Set yourself up for success by approaching data analysis correctly. Learn data analysis and apply strategic principles with an interactive problem-solving methodology to analyze data.
Learn Data Cleaning
Learn essential techniques to help you prepare and clean raw data, as well as reduce bias, in order to support effective data analysis. Explore critical statistical analysis concepts used in data analysis.
Excel Data Analysis
Take your Microsoft Excel skills to the next level, exploring everything from basic formulas to advanced functions and powerful tools that drive efficient data analysis and accurate results.
Unit 2
Database Operations & Advanced Data Analytics
In the next unit of BrainStation's Data Analysis course, you'll go beyond the spreadsheet with relational databases. By learning how to use MySQL – a data industry-standard tool used by companies like Tesla, Netflix, and more – you'll discover how databases are constructed and organized for data analysis. Learn how to write SQL queries through real-world projects to explore a database and perform more advanced operations and analysis.
- Key Skills:
- Exploratory Data Analysis
- SQL
- Regular Expressions
- Data Management
- Data Normalization
- Database Schema
Learn Database Fundamentals
Working with larger data sets and performing more complex data analysis requires an understanding of relational databases, schema, and other core data concepts used by Data Analysts as part of many industry tools.
SQL for Data Analysis
Explore the foundations of programming languages and learn Structured Query Language (SQL) – the best programming language for data analysis.
Advanced Data Analytics
Learn how to write advanced expressions to help you surface key data points, highlight patterns, and augment your search capabilities within large data sets.
Large Data Sets
Speed up your analysis and reduce complexity by learning a systematic approach to normalize data, along with important techniques for combining and sorting information.
Unit 3
Data Visualization
Completing your data analysis is only the start. In the final unit of BrainStation's Data Analyst course, you'll discover how to present actionable insights effectively through data visualizations by using Tableau, the world's leading business analytics platform. Go beyond simply presenting analysis results by learning best practices in storytelling with data and help drive effective decision-making informed by real data insights.
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- Key Skills:
- Data Visualization
- Dashboards
- Presentation Skills
- Data Communication
Tableau Data Visualization
Use Tableau – an industry-leading business intelligence and data visualization tool – to augment your analysis and distill the most important business insights into clear visualizations. Set custom parameters, filtering, and more to make sure the right data from your business analytics stand out.
Build Tableau Dashboards
Take your Tableau training further by learning all the skills to build and fine-tune a clear, communicative data visualization, tailored to unique business needs. Apply best practices in hands-on projects to create dynamic and easy-to-use Tableau dashboards.
Data Storytelling
Data tells a story – what happened, what can happen, and what to focus on next. Learn how to capture the attention of a broad audience, and create Tableau data visualizations that effectively communicate the value of your data analysis.
Data Analyst Course Instructors
Instructors in BrainStation's Data Analyst courses are experienced data professionals who work at the world's most innovative companies. In our data analytics classes, you'll learn from experts who have years of data industry experience and who know the most up-to-date and practical data skills companies around the world are looking for.
Industry-Led Data Analytics Training
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 Your Data Analyst Portfolio
Showcase everything you've learned with a real-world Data Analyst portfolio project. Every week in your data analytics classes, you'll be provided with clear steps to iteratively develop your final data analysis project. By the end of the course, you will have implemented each step of the data analysis process, leveraged MySQL and data visualization tools, and developed a refined presentation to showcase your work, explain your process, and highlight the different insights found from your data analysis.
View Tuition, Financing Options, and More in the Course Package
View the Course Package to access:
- Tuition details and scholarships
- Financing options
- Employer sponsorship
Earn a BrainStation Data Analytics Certificate
Upon completing BrainStation's Data Analytics 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 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.
What 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.
Nitin Goyal
Senior Business Value Analyst at Hootsuite
I had heard good things about BrainStation and it is a recognized name in my industry for professionals looking to up-level their skill set... BrainStation has had a big impact on my career, helping me position myself as the 'Data Guy' within my team and make a case for why I should be promoted into a new role.
Read Full Testimonial
Zairah Khurshid
User Growth Content at TikTok
I learned so much about how to approach real-world problems and examples and create a way to tell a story with data. I learned how to write SQL commands and scripts in our databases, Excel advanced formulas and also how to visualize data on Tableau, all amazing skills to take with you on any career path you choose, I really recommend taking this course!
Join our growing community of 15,000+ alumni.
Data Analytics Certification FAQs
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What is the difference between data analytics and data science?
If you want to become a Data Analyst, you should know this is not quite the same thing as becoming a Data Scientist, which is generally a more senior position involving greater technical knowledge and data science expertise. In fact, Data Analyst positions, and data analysis work, are often considered more entry-level in nature.
BrainStation's Data Analytics course is a beginner-friendly data course, with a focus on descriptive analytics, industry-standard tools, and software. The Data Science course, on the other hand, can be considered more of an intermediate-level data science course, as it is more technically demanding, diving further into prescriptive and predictive analytics, machine learning, and programming languages.
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Will I earn a data analytics certificate from this course?
Yes, when you complete the Data Analytics course, you will earn a BrainStation Data Analytics Certificate. A data analytics certification can boost your LinkedIn profile and resume, helping you stand out in the job market when applying for data analyst positions, and can help you become a data analyst setting you up with the foundational skills and knowledge for a successful career in data.
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What payment options do you offer?
BrainStation offers some of the most competitive payment options for data analysis 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 analysis more accessible.
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Monthly payment installments
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Are there any prerequisites for BrainStation's Data Analytics course?
BrainStation's Data Analytics course was created for those who are new to data analysis, and can be considered a beginner-friendly course. There are no set prerequisites for this course, but a working knowledge and prior experience of Excel are strongly encouraged. No other data analytics courses are required before taking this Data Analytics course.
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What kind of backgrounds do people have that take this Data Analytics course?
By enrolling in the Data Analytics 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 analysis skills.
80 percent of learners at BrainStation have a post-secondary education, with 20 percent having earned a Master's degree or PhD.
Professional backgrounds also vary quite a bit, particularly for the Data Analytics course, as data analysis skills are now highly valued across a range of fields and industries, including finance, marketing, healthcare, retail, and more.
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What tools and programming languages do we learn in BrainStation's Data Analytics course?
Throughout the Data Analytics course, you will learn to work with data more efficiently, starting with taking your Microsoft Excel skills to the next level through real-world projects. Many of these skills will also apply to Google Sheets.
You will also learn how to organize data within a database, and access it using Structured Query Language (SQL). Finally, you will use Tableau to develop high-quality business intelligence dashboards for ongoing monitoring and present your insights in a meaningful way.
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What is the difference between BrainStation's Data Analytics course and the Data Science bootcamp?
BrainStation's Data Analytics course is a flexible, professional development course offered part-time, over five or 10 weeks. Taught by industry experts, the Data Analytics certificate program is a project-based, hands-on learning experience, allowing you to develop data analysis 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, big data, and machine learning. By the end of the bootcamp, graduates will have the skills, experience, and portfolio needed to dive into a career in data.
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How long are BrainStation's Data Analytics courses?
BrainStation Data Analytics courses are typically five-to-10 weeks long depending on the delivery format, as students can choose whether to take courses on weekends or evenings.
In that time, you will master core data analytics methodology, gain competence with core raw data tasks like data collection, data mining, and data cleaning, learn the fundamentals of database operations and relational databases, and develop key data visualization techniques.
BrainStation Data Analytics courses are immersive and hands-on, allowing you to complete data analytics projects and graduate with a polished professional portfolio.
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Can I take this course online?
Yes, you can take BrainStation Data Analytics courses online.
BrainStation's online Data Analytics certificate course is taught by leading industry experts in a live, interactive classroom environment. Our project-based online course encourages collaboration and communication between classmates, who work together on cross-disciplinary teams to create hands-on projects that eventually become the basis of their professional portfolios.
Students in our online Data Analytics courses connect with each other and instructors alike through BrainStation's industry-leading student learning platform, as well as a lively Slack community, which provides support and updates even beyond graduation.
Data Analytics Basics
What Can I Learn in a Data Analytics Course?
In a data analytics course, you can learn the fundamentals of manipulating and analyzing data, how to leverage data analysis tools and statistical analysis skills to make actionable data-driven predictions, and how to use visualization tools to present and communicate your findings in compelling data visualizations.
A good data analytics certification course should first impart the most crucial and foundational aspects of data analysis and data management, including data wrangling, data modeling, data processing, and data manipulation techniques, while also developing your programming skills with SQL, an essential programming language for data analysis.
From there, students in a data analytics program should master the art of storytelling with data visualizations, learning how to create effective dashboards that will help a broad audience not only visualize data, but understand how data insights can play into business decisions.
Related to Data Analytics Courses:
Cybersecurity
With data at the heart of our economy and cyberattacks becoming more frequent and severe, basic cybersecurity knowledge is critical for today's workforce. Learn how everyday technology works, how to operate securely, and how to strategically identify, evaluate, and respond to security risks.
Data Science
Advance your data skills and gain hands-on experience working with Python – a leading data science tool used throughout the industry. Using data science libraries for Python, perform experiments and advanced work solving real-world problems, by applying regression, classification, machine learning techniques, and more.
Python
Learn the fundamentals of programming with Python - one of the easiest languages for newcomers, and one of the most popular for data projects. Gain hands-on experience working with data sets, writing functions, and using libraries to solve problems, opening the doors to new learning opportunities in the field of data.
Data Science Bootcamp
The Data Science Bootcamp is BrainStation's flagship Data Science program to prepare you for a new Data Science career. In 400+ hours of learning, go deeper on the basics of data and gain exposure to cutting-edge data science like deep learning, neural networks, advanced machine learning methods, and big data.
