SQL and relational analysis
Query, aggregate and join transactional datasets using SQL, including CTEs.
DataLyft Career Track
Data Analytics
Turn raw business data into clear analysis, reports and recommendations.
- Level
- Beginner-friendly
- Duration
- 12 weeks
- Format
- Live cohort programme
- Core tools
- SQL, Excel, Power BI, Python
Who this programme is for.
Designed as a beginner-friendly starting point.
People who are completely new to data and need a structured starting point.
Spreadsheet users who want to progress into SQL, dashboards and Python analysis.
Learners who want to practise communicating findings around business questions.
What you will learn.
Explore the practical skills and learning areas covered in this programme.
Dashboard design
Build clear, decision-ready Power BI reports around defined business questions.
Python analysis
Explore business data with Pandas and turn findings into practical recommendations.
What you will be able to do.
- Query relational datasets and answer multi-table business questions.
- Build clear Power BI reports and data models around defined business questions.
- Analyse datasets in Python and communicate evidence-based recommendations.
Practical project.
Retail Revenue Velocity & Customer Churn Analysis
Apply the programme’s tools and methods together, document your decisions and communicate the result clearly.
Supporting tools
SQL · Excel · Power BI · Python
Ready to start?
Sign up for live tutoring in this programme.