Earn the AI Data Analyst Certification (DAC™)
Equip your teams to turn data into decisions faster with AI. Go from foundational data analysis and Excel to SQL and interactive Tableau dashboards, while gaining hands-on data cleaning, querying, and data storytelling skills taught by leading data practitioners.
Get in touch with our team to discuss training details and reserve a date.
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482 Front St W, 2nd Floor, Toronto, ON
40k+ professionals trained
4.7 on Google
Learn from experts
Sydney
Associate Data Analytics Engineer at Spotify
Olga
Team Lead, Strategic Insights Analyst at LinkedIn
After taking the course, I was like: in two years I want to have my data job. But in less than two years I was in my role at Spotify.
Associate Data Analytics Engineer at Spotify
Gain essential Data Analyst skills with hands-on instruction from industry leaders working at the best global tech companies like Amazon, Meta, and Microsoft.
Data Analytics Framework
Excel Spreadsheets
Data Collection
Data Cleaning
MySQL
Database Normalization
Data Types
Regular Expressions
Data Visualization
Dashboards
Data Communication
Storytelling
Problem Space Analysis
Data Analysis Lifecycle
Prompt Engineering
Receive hands-on training from data analytics leaders working at companies like Amazon, Meta, and Microsoft.
Build a data analytics portfolio that demonstrates your unique expertise and experience.
BrainStation certifications are globally recognized by top companies for the most advanced and up-to-date skills.
What stood out about BrainStation was how practical everything was. The instructors brought real industry experience, and the classroom was filled with professionals from a variety of backgrounds, which made discussions incredibly valuable. The skills I learned translated directly into my day-to-day work with data, and the final project gave me the opportunity to receive honest, actionable feedback from experienced leaders. It was an investment that strengthened my confidence and helped prepare me for increasingly strategic roles in my career.
Luis Bridgeman
Sr. Manager, Strategy & Operations at Uber
Andrew Consky
Head of Research and Media Insights at The Globe and Mail
Kate Chippindale
Director, Integrated Marketing at Wealthsimple
Reem Abu-Salhieh
Senior Financial Analyst at PepsiCo
Herbert Bempah
Account Manager at Google
Idil Karateke
Marketing Manager at TELUS
Michelle Karunaratne
Manager at Scotiabank
Flavia Carvalho
Senior Manager, Corporate Treasury at RBC
Bets Joseph
Corporate Strategy at Loblaw Companies Limited
Meghan Archibald
Senior Product Marketing Manager at Clio
Gabriela Chén
Regional Merchandise Planner at lululemon
Kaylee Boulton
Senior Business Analyst at Shopify
Anika Chowdhury
Content & Digital Insights Manager at RBC
Alessandra Ferreri
Head of Content at Wattpad
Matt Cohn
Senior Technical Leader, Office of the President at Shopify
Ziad Azam
Analyst at CIBC
Matt Fairbanks
Senior Account Manager at Square
David Fayerman
Software Development Engineer II at AWS
In the first unit of BrainStation's AI Data Analytics Certification course, you'll learn the fundamentals of the data analytics process, including data strategy, problem solving, and data collection. As you work toward your AI Data Analytics certification, you'll discover how to assess data quality, perform data cleaning in Excel, and leverage AI alongside core formulas to analyze datasets.
Build a strategic approach to data analysis across the full Data Analytics Lifecycle, from framing business questions and collecting and preparing data, to analyzing trends, generating insights, and communicating data-driven recommendations.
High-quality insights start with high-quality data. Learn essential techniques to help you assess data quality, prepare and clean raw data, accelerated by AI.
Take your Microsoft Excel skills to the next level, exploring everything from basic formulas to advanced functions and AI-assisted tools that drive efficient data analysis and uncover meaningful patterns and trends.
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. Learn to organize data efficiently, write queries to uncover insights, and perform deeper exploratory analysis across larger datasets. You’ll also explore advanced analysis techniques and AI-supported workflows that help analysts surface insights faster and work more effectively with complex data ecosystems.
Explore how databases are structured and organized to support large-scale analysis. Learn core database concepts including tables, relationships, schemas, and normalization techniques used by data analysts across industries.
Explore the foundations of programming languages and learn Structured Query Language (SQL): the best programming language for data analysis, utilizing AI assistants for queries and syntax optimization.
Explore how AI tools can support workflows and advanced analytics. Use natural language prompts to accelerate SQL query generation, summarize findings, uncover patterns, and augment analysis across complex datasets.
In the final unit of BrainStation's AI Data Analytics Certification course, you will focus on distilling complex analytics data into impactful visual narratives. Master the mechanics of Tableau to build interactive dashboards, configure dynamic reporting views, and effectively present your findings to translate raw data numbers into strategic business decisions. You’ll also explore how AI tools can enhance data visualization, reporting, and presentation workflows to communicate strategic insights.
Use Tableau to transform raw data into clear, impactful visualizations. Explore charts, graphs, filters, parameters, and interactive features that help surface the most important business insights.
Design and develop dynamic dashboards tailored to business needs. Apply best practices in layout, usability, and dynamic dashboard design to create intuitive reporting experiences that help users explore and understand data.
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, how to structure presentations, highlight key findings, and use storytelling techniques to make your insights actionable and memorable for stakeholders.
Successfully completing BrainStation's AI Data Analytics Certification course will earn you the globally recognized BrainStation AI Data Analyst Certification (DAC™), demonstrating your mastery of the latest cutting-edge skills and tools. Add this credential to your LinkedIn profile and resume or CV.
Talk to our team to get started.
Get in touch with our team to discuss training details and reserve a date.
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Learn how to build, verify, and deploy a trustworthy AI analyst from scratch using Claude Code in a live, end-to-end demonstration.
Khaled Zaky
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Discover how intentional product strategies and enterprise-grade design frameworks can foster trust, set clear expectations, and drive safe adoption in high-stakes environments.
Diogo Ramos
Associate Vice President
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With a BrainStation certification, you'll join our global alumni network: a community of accomplished professionals across a range of critical tech skills, including Data Analysts.
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BrainStation's globally recognized certifications are created by industry professionals, for industry professionals. Our network of experts from leading tech companies provide insights and guidance to ensure each certification demonstrates the latest cutting-edge skills and tools.
Welcome to
at The Well
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 Toronto
482 Front St W, 2nd Floor, Toronto, ON
This course teaches the core, industry-standard data analytics workflow, now enhanced with AI at each step. You will move from foundations to applied analysis across three areas:
No prior experience is required. The course is beginner-friendly and does not assume any coding or data background. You will learn the tools and techniques from the ground up, including how to use AI to make working with data faster and more approachable, regardless of your technical starting point.
You will get hands-on experience with the core data analytics toolkit, including Microsoft Excel, MySQL, and Tableau, and use AI tools like Claude to accelerate data cleaning, query writing, and reporting. You will also use creative tools like Canva to present your findings.
Yes. AI is an accelerator, not a replacement for analytical skill. You will learn the core data analytics fundamentals in depth: data collection and cleaning, SQL and databases, data visualization, and data storytelling. AI is woven throughout to help you work faster and focus on insight, but the foundational skills remain the core of the course.
You will build a real-world data analysis portfolio project, developed step by step throughout the course. By the end, you will have worked through each stage of the data analysis process, used MySQL and data visualization tools, and produced a refined presentation that showcases your work, explains your process, and highlights the insights from your analysis.
It's ideal for both. The course is beginner-friendly and requires no prior experience, so it's well suited to anyone looking to move into a data role. For those new to data, it teaches the analytics workflow the right way for the modern, AI-driven job market. For professionals who already work with data, it's an effective way to formalize your skills and add AI to your toolkit.
Classes are taught live by experienced data practitioners who work in roles at top companies (like Amazon, Meta, and Microsoft). They bring real-world experience and actively use AI in their daily analytics work, so you get practical insights into what it takes to get hired and thrive as a data analyst.
The course is a part-time, 8-week program designed for working professionals. It requires 3 hours of live instruction per week, which you will attend in person at one of our locations in either New York, Toronto, or London, or entirely live online. Students typically spend an additional 2 to 4 hours per week applying what they've learned to their hands-on data analysis project.
Absolutely. Because this course builds practical, in-demand data and AI skills, it qualifies for most corporate Learning & Development budgets. We provide an Employer Sponsorship Package complete with a syllabus breakdown and an expense justification letter to help you pitch the ROI of this course to your manager.
When you enroll, you join a global network of over 40,000 BrainStation certified professionals. At our New York, Toronto, and London locations, you'll have access to networking mixers, industry panel events, and collaborative workspaces, and all learners gain access to our community Slack, where you can connect with peers and instructors and stay in touch after the course ends.
The DAC™ is a globally recognized credential. BrainStation has been a leader in AI and digital skills training since 2012 and has certified over 40,000 professionals globally. Adding this certification to your resume and LinkedIn signals to recruiters that you possess modern, validated data skills.
Don't worry: flexibility is built into the program. If you need to miss a session, our team will help make sure you're able to catch up with your cohort. Sessions are live, interactive, and hands-on, so it's important to make class attendance a priority.
We want to make upskilling accessible. We offer flexible payment options, including payment plans and partial scholarship opportunities, subject to eligibility. A Learning Advisor can help find the option that works best for you.
Data Analytics involves examining raw data to uncover patterns, trends, and insights that can help guide decision-making. It uses various tools and methods, such as statistical analysis, machine learning, and analyzing data techniques, to transform data into actionable information. This process helps organizations optimize their operations, and data analysts play a crucial role in this by interpreting data from diverse sources like big data analytics and structured databases.
40k+ professionals trained
Learn from experts
Upcoming Training
Flexible, In-Person Skills Development
482 Front St W, 2nd Floor, Toronto, ON
Get in touch with our team to discuss training details and reserve a date.
