Data and AI
Learn Data Analysis
3 plans — 23 lessons
Through practical lessons and AI guidance, you’ll build your skills step by step. By the end, you’ll be able to write real code, solve everyday problems, and build practical projects.
What You'll Learn
What data analysts actually do
Understand the analyst role, the types of questions it answers, and how analysis drives decisions.
Working with spreadsheets and tables
Organize, filter, and summarize data in spreadsheets using formulas and pivot tables.
Numbers, averages, and basic statistics
Calculate mean, median, mode, range, and standard deviation to describe datasets.
Data types, formats, and sources
Recognize structured vs unstructured data and understand common data formats and sources.
Cleaning and preparing data
Handle missing values, duplicates, inconsistent formats, and outliers before analysis.
Charts, graphs, and basic visualization
Choose the right chart type and build clear visuals that communicate findings.
Introduction to SQL for analysts
Write SELECT queries, filter rows, sort results, and aggregate data with GROUP BY.
Business metrics and KPIs
Learn what DAU, retention, conversion rate, LTV, and churn actually measure.
Reading and interpreting results
Spot misleading charts, avoid common errors, and draw defensible conclusions from data.
Mini project: analyst report
Analyze a real dataset, build a simple dashboard, and write a clear findings summary.
Think like an analyst in 10 days
Spreadsheets, SQL basics, data cleaning, business metrics, and a real analyst report — structured for complete beginners.
Start learningI had no idea where to start with data. This plan gave me a clear path and I actually finished it.