For career switchers, analysts & data-driven professionals
Data Analytics
11 weeks
1 live class / week
Data Analytics: SQL, Python, Experimentation & AI
Learn to turn data into decisions using the tools and methods modern analysts actually use. Build practical skills across analysis, metrics, experimentation, visualization, and AI-assisted workflows—with live feedback from practitioners who do this work professionally.
Try 2 free classes
What will you learn in the Data Analytics course?
Modern analytics is more than writing queries or building dashboards. You’ll learn how to take an ambiguous business problem, ask the right questions, choose meaningful metrics, analyze real data with SQL, Python, visualization, and statistics, and turn the results into a recommendation people can act on.
You’ll also learn how modern analysts work with AI. Use ChatGPT, Claude, and AI-assisted workflows to accelerate analysis—while developing the judgment to validate outputs, spot weak assumptions and hallucinations, and know when an answer is statistically or causally unsupported. Throughout the course, live instructors who do this work professionally will help you connect the concepts to real-world decisions and career-ready projects.
Who it’s for
Career switchers who want to break into analytics and build practical, interview-ready skills—not just complete tutorials.
Analysts and BI professionals who want to move beyond reporting and dashboards into deeper analysis, metrics, experimentation, and decision-making.
Professionals in product, marketing, finance, operations, consulting, and other data-heavy roles who want to become more confident turning data into business decisions.
Tools you’ll use
SQL
Python / pandas
Data visualization & dashboards
Statistics & experimentation
ChatGPT / Claude / AI-assisted analytics
When you finish
Turn an ambiguous business question into a structured analysis: define the problem, choose meaningful metrics, and identify the data you need.
Use SQL, Python, visualization, and statistics to explore real data, find patterns, test ideas, and communicate clear recommendations.
Reason about measurement—not just reporting—including experimentation, uncertainty, and the difference between correlation and causation.
Use ChatGPT, Claude, and AI agents as force multipliers while validating their output, challenging assumptions, and knowing when not to trust the answer.
Upcoming dates
January 12, 2027
Tuesday — 9:00 p. m. to 11:00 p. m. (Eastern Time)
February 9, 2027
Tuesday — 9:00 p. m. to 11:00 p. m. (Eastern Time)
FAQ
How does the refund through class 2 work?
Is the AI teaching the course?
How much time does it take per week?
Do I need experience to join?
What if I can’t make a live class?
When do cohorts start, and when does enrollment close?
Why learn analytics when ChatGPT / Claude can do it?
Why does the course cost $595?
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