Course Overview AI Data Analytics Certification
Sydney
Associate Data Analytics Engineer at Spotify
Olga
Team Lead, Strategic Insights Analyst at LinkedIn
Get Certified as an AI Data Analyst
Gain essential Data Analyst skills with hands-on instruction from industry leaders working at the best global tech companies like Amazon, Meta, and Microsoft.
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.
Sydney
Associate Data Analytics Engineer at Spotify
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.
Sydney
Associate Data Analytics Engineer at Spotify
AI Data Analyst Certification (DAC™) Course Overview
DAC-2026Q3
- Concepts
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
Data Analytics Framework
Database Normalization
Data Communication
Excel Spreadsheets
Data Types
Storytelling
Data Collection
Regular Expressions
Problem Space Analysis
Data Cleaning
Data Visualization
Data Analysis Lifecycle
MySQL
Dashboards
Prompt Engineering
- Skills
- Analysis Strategy
- Business Analytics
- Data Analysis in Excel
- Data Transformation in Excel
- Claude for Excel
- Structured Query Language (SQL)
- Regular Expressions
- Schema Design
- Data Management
- Data Visualization
- Data Cleaning
- Dashboard Design
- Analytics Reporting
- Problem Solving
- Critical Thinking
- Dashboard Presentation
- Industry tools
Why Get Certified as a Data Analyst
Taught By Leaders From Top Global Tech Companies
Receive hands-on training from data analytics leaders working at companies like Amazon, Meta, and Microsoft.
Build Your Data Analytics Portfolio
Build a data analytics portfolio that demonstrates your unique expertise and experience.
Globally Recognized By Top Companies
BrainStation certifications are globally recognized by top companies for the most advanced and up-to-date skills.
Data Analyst Success Stories
BrainStation delivered one of the highest-quality learning experiences I've had. The courses were well structured and taught by professionals who brought real insights into every lesson. Their expertise, combined with a truly supportive and caring community, made the experience incredibly valuable. I left each course feeling more confident, more skilled, and part of a community that is invested in your success.
Chiara Pullo
Content and Campaign Operations Manager at TikTok
AI Data Analytics Certification Course Curriculum
Unit 1
Intro to Data Analytics
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.
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- Key Skills:
- Data Strategy
- Business Problem Solving
- Data Collection
- Data Cleaning
- Data Analysis in Excel
- Advanced Excel
- AI-Assisted Data Cleaning
Apply the Data Analysis Framework
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.
Assess Data Quality and Learn Data Cleaning
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.
Data Analysis in Excel
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.
Unit 2
Databases & Advanced Data Analytics
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.
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- Key Skills:
- Databases
- Database Schema
- SQL Queries
- Data Management
- Data Normalization
- Database Schema
- AI-Assisted Query Optimization
Learn Database Fundamentals
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.
SQL for Data Analysis
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.
Advanced Data Analytics
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.
Unit 3
Data Visualization & Storytelling
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.
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- Key Skills:
- Tableau
- Data Visualization
- Dashboards
- Presentation Skills
- Data Communication
- Data Storytelling
- Analytics Reporting
- AI-Assisted Reporting
Tableau Data Visualization
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.
Build Interactive Tableau Dashboards
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 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, how to structure presentations, highlight key findings, and use storytelling techniques to make your insights actionable and memorable for stakeholders.
Earn Your AI Data Analyst Certification (DAC™)
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.
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Your Next Step Towards AI Data Analytics Certification
Talk to our team to get started.
Get Started
Get in touch with our team to discuss certification details and reserve a date.
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Industry-Led Data Analytics Certification
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.
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Learn in the Center of NYC
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Frequently Asked Questions
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What will I learn in the AI Data Analytics course?
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:
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Data Foundations & Excel
Collect, clean, and analyze data in Excel, using AI to accelerate data cleaning and preparation.
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Databases & SQL
Query and manage data with MySQL, using AI to help write and optimize queries.
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Visualization & Storytelling
Build dashboards and presentations in Tableau, using AI to support reporting and communicate insights with clarity.
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Data Foundations & Excel
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Do I need a technical or coding background to take this course?
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.
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What specific tools will I learn to use?
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.
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Will I still learn core data analytics fundamentals?
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.
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What kind of project will I build for my portfolio?
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.
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Is this course better for beginners or experienced professionals?
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.
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Who teaches the course, and how do they use AI?
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.
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What is the format and weekly time commitment?
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.
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Can I get my employer to sponsor my tuition for this course?
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.
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What kind of networking and community opportunities does BrainStation offer?
When you enroll, you join a global network of over 35,000 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.
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How recognized is the BrainStation AI Data Analytics Certification (DAC™)?
The DAC™ is a globally recognized credential. BrainStation has been a leader in AI and digital skills training since 2012 and has certified over 35,000 professionals globally. Adding this certification to your resume and LinkedIn signals to recruiters that you possess modern, validated data skills.
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What happens if I have to miss a live session due to work?
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.
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What are the payment and financing options available?
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 101
What is Data Analytics?
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.
