For career switchers & non-technical professionals
In this Data Analytics course you'll go from spreadsheets to job-ready analyst: querying real databases with SQL and turning the answers into dashboards people actually use to decide.
8 weeks
1 live classes/week
Try 2 free classes
What will you learn in the Data Analytics course?
In this Data Analytics course you'll go from spreadsheets to job-ready analyst. You'll learn how data is really stored — relational models, normalization, star schemas — and you'll query it with SQL on PostgreSQL: filtering, aggregations, JOINs and UNION.
Then you'll take those answers into Power BI end to end: cleaning and shaping data in Power Query, modeling relationships, building advanced calculations in DAX and designing dashboards people actually use to decide. You'll close with AI as your co-pilot, the statistics every analyst needs, publishing with permissions and Row-Level Security, and a final project with its dashboard and presentation.
Who it’s for
Career switchers moving into data, one of the fastest-growing roles in tech.
Non-technical professionals (marketing, ops, finance) who already live in spreadsheets and want to turn data into business decisions.
Anyone starting from zero. No programming experience required — basic computer skills are enough.
Tools you’ll use
Excel
SQL
PostgreSQL
PowerBI
PowerQuery (M)
PowerQuery (M)
AI Copilots
When you finish
Query and combine data across tables with SQL on real databases — filters, aggregations, JOINs and UNION.
Build dashboards in Power BI end to end: clean and model your data in Power Query, then calculate with DAX, including YoY and YTD comparisons.
Publish and share reports in Power BI Service with workspaces, permissions, Row-Level Security and scheduled refreshes.
Use AI as a co-pilot to write and debug SQL and DAX, and to automate repetitive analysis work.
Eight weeks, live
2 weekly live online classes of 2 h. 6 to 8 hours per week.
Module 1
Introduction to Data Analysis
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Data vs information, and the data analysis life cycle
BI, Data Analytics and Data Science: what a data analyst actually does
Excel essentials: SUM, AVERAGE, SUMIF, SUMIFS
Databases vs datasets, and the tools of the trade
Live Session: Foundations of Data Analysis
Module 2
Database models and design
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Module 3
Introduction to SQL and its sublanguages
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Module 4
SQL syntax and data manipulation
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Module 5
SQL queries with JOIN and UNION
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Module 6
Power BI and data transformation
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Module 7
Data visualization and storytelling with Power BI
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Module 8
Analytical modeling and advanced calculations with DAX
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Module 9
AI applied to the data analyst's work
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Module 10
Statistics and dashboard publication
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Module 11
Final project
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October 27
$595 launch price. Two free classes first.
FAQ
How do the two free classes work?
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Is the AI teaching the course?
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How much time does it take per week?
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Do I need experience to join?
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What if I can’t make a live class?
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When do cohorts start, and when does enrollment close?
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