beginner
8 study hoursThink with data
Frame questions, identify data types and understand descriptive statistics.
Put it into practice
Write three measurable questions for a public dataset.
All learning paths
Data Analysis & Analytics
Data analysis & analytics
Turn raw data into clear insights with spreadsheets, SQL and Python.
6 recommended milestones~17 weeks · 5 hours / week
Create an analytical report with a dashboard and evidence-backed recommendations.
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- 01
- 02
beginner
10 study hoursSpreadsheets & data quality
Clean data, validate inputs and summarize with formulas and pivot tables.
Put it into practice
Clean a messy spreadsheet and document your changes.
- 03
intermediate
14 study hoursSQL for analysis
Query, join, aggregate and explore relational data.
Put it into practice
Write queries answering five business questions.
- 04
intermediate
18 study hoursAnalysis with Python
Use pandas to clean, explore and visualize datasets.
Put it into practice
Create a reproducible notebook with findings and limitations.
- 05
advanced
12 study hoursDashboards & storytelling
Choose visualizations, define KPIs and communicate uncertainty.
Put it into practice
Build a dashboard with three metrics and a written insight summary.
- 06
advanced
20 study hoursAnalytics capstone
Connect a real question, reliable data and actionable recommendations.
Put it into practice
Present an end-to-end analysis with sources and a decision brief.