Professional Certificate
Data Analytics Course Toronto
Accelerate your career in data, and earn a data analytics certification teaching high-demand skills used by data analysts. Learn how to prepare data, perform data analysis, use data visualization techniques, and more in this data 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 Essential Data Analytics Skills Live, Led by Experienced Data Leaders
Data skills are indispensable in today's modern workplace. With more and more data being generated every day, businesses need team members who can interpret data and communicate insights with visualization tools. Led by experienced data professionals, this live 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. To complete this data course and showcase your new skills, you'll complete a detailed, final portfolio project based on a data set of your choosing.
Format
On campus. 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 Analytics Certificate.
This professional development course does not require approval under the Private Career Colleges Act of Ontario.
Upcoming Course Dates & Campuses
Due to COVID-19, some courses are currently being held online.
| First Class | Last Class | # of Classes | Class Times | ||
|---|---|---|---|---|---|
| June 14 August 16 | August 16 | 10 Tuesdays | 9:30pm - 12:30am EDT | Enroll Now | |
| June 15 August 17 | August 17 | 10 Wednesdays | 6:30pm - 9:30pm EDT | Enroll Now | |
| June 16 August 18 | August 18 | 10 Thursdays | 1:30pm - 4:30pm EDT | Enroll Now | |
| June 18 July 23 | July 23 | 5 Saturdays | 10:30am - 5:30pm EDT | Enroll Now | |
| July 6 September 7 | September 7 | 10 Wednesdays | 6:30pm - 9:30pm EDT | Enroll Now | |
| July 19 September 20 | September 20 | 10 Tuesdays | 6:30pm - 9:30pm EDT | Enroll Now | |
| July 20 September 21 | September 21 | 10 Wednesdays | 9:30pm - 12:30am EDT | Enroll Now | |
| July 20 September 21 | September 21 | 10 Wednesdays | 1:30pm - 4:30pm EDT | Enroll Now | |
| July 24 August 21 | August 21 | 5 Sundays | 10:30am - 5:30pm EDT | Enroll Now | |
| August 16 October 18 | October 18 | 10 Tuesdays | 1:30pm - 4:30pm EDT | Enroll Now | |
| August 18 October 20 | October 20 | 10 Thursdays | 6:30pm - 9:30pm EDT | Enroll Now | |
| August 18 October 20 | October 20 | 10 Thursdays | 9:30pm - 12:30am EDT | Enroll Now |
| First Class | Last Class | # of Classes | Class Times | ||
|---|---|---|---|---|---|
| July 6 September 7 | September 7 | 10 Wednesdays | 6:30pm - 9:30pm EDT | Enroll Now | |
| August 4 October 6 | October 6 | 10 Thursdays | 6:30pm - 9:30pm EDT | Enroll Now |
This Course is Offered Online in Miami
| First Class | Last Class | # of Classes | Class Times | ||
|---|---|---|---|---|---|
| June 15 August 17 | August 17 | 10 Wednesdays | 6:30pm - 9:30pm BST | Enroll Now | |
| August 2 October 4 | October 4 | 10 Tuesdays | 6:30pm - 9:30pm BST | Enroll Now |
| First Class | Last Class | # of Classes | Class Times | ||
|---|---|---|---|---|---|
| June 14 August 16 | August 16 | 10 Tuesdays | 6:30pm - 9:30pm EDT | Enroll Now | |
| August 3 October 5 | October 5 | 10 Wednesdays | 6:30pm - 9:30pm EDT | Enroll Now |
| First Class | Last Class | # of Classes | Class Times | ||
|---|---|---|---|---|---|
| June 14 August 16 | August 16 | 10 Tuesdays | 6:30pm - 9:30pm PDT | Enroll Now | |
| August 3 October 5 | October 5 | 10 Wednesdays | 6:30pm - 9:30pm PDT | Enroll Now |
Unit 1
Data Analytics Foundations
Launch your data analytics journey with an introduction to data by learning foundational concepts and new skills for approaching data problems. You'll start your learning journey by developing a problem-solving framework and by understanding how data should be collected and prepared 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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Microsoft Excel
- Key Skills:
- Analysis Strategy
- Data Problem Solving
- Data Collection
- Data Cleaning
- Advanced Excel
Learn Problem-Solving Strategies for High-Value Outputs
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.
Source High-Quality Data
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.
Master 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 analysis and accurate results.
Unit 2
Database Operations & Advanced Data Analytics
Go beyond the spreadsheet with relational databases. By learning how to use MySQL – an 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 concepts used by data analysts as part of many industry tools.
Manage and Analyze Data with SQL
Explore the foundations of programming languages and learn Structured Query Language (SQL) – a powerful programming language and one of the essential programming skills for a career in data.
Perform Advanced Data Analysis
Learn how to write advanced expressions to help you surface key data points, highlight patterns, and augment your search capabilities within large data sets.
Organize and Optimize 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
Visualizing & Communicating Data Insights
Completing your data analysis is only the start. Continue your learning path by discovering how to present actionable insights effectively through data visualizations that inform business decisions created with 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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Tableau
- Key Skills:
- Data Visualization
- Dashboards
- Presentation Skills
- Data Communication
Highlight Critical Data Insights
Use Tableau – an industry-leading business intelligence and visualization tool – to augment your analysis and distill the most important insights into clear visualizations. Set custom parameters, filtering, and more to make sure the right data from your business analytics stand out.
Build Impactful Visualizations & Dashboards
Learn 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 dashboards.
Communicate Captivating Data Narratives
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 visualizations that effectively communicate the value of your data analysis.
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 Analytics Portfolio Project
Showcase everything you've learned with a real-world portfolio project. Every week in your data analytics classes, you'll be provided with clear steps to iteratively develop your final 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 Program 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.
Frequently Asked Questions
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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 101
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.
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