Pandas course
Master pandas for practical data analysis: tidy disorganised CSVs, create robust DataFrames, combine intricate tables, segment users, monitor engagement, and generate insightful reports and charts to inform superior product and technology choices. Discover efficient grouping, pivoting, time-based splitting, binning, and speed enhancements in a focused, real-world setting.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
This course teaches you to load, clean, and merge real-world CSV datasets, construct robust user tables, and calculate engagement metrics confidently. Gain expertise in grouping, pivot tables, time series analysis, segmentation, binning, and optimisation techniques, then produce compelling reports, visualisations, and actionable insights through practical, hands-on exercises.
Elevify advantages
Develop skills
- Pandas data manipulation: swiftly load, cleanse, and merge extensive CSV datasets.
- Segmentation analysis: derive engagement metrics by region, age group, and device type.
- Time series analysis: resample, apply rolling windows, and contrast user behaviour across periods.
- Performance optimisation: refine data types, indexing, and queries for handling large datasets.
- Impactful reporting: output tables and craft concise, evidence-supported insights.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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