Introduction to Data Analysis Course
Master core data analysis skills for retail: load and clean datasets, handle missing values and outliers, build clear aggregations and time series views, and turn statistical findings into concise, actionable reports for business stakeholders.

4 to 360 hours of flexible workload
valid certificate in your country
What Will I Learn?
This Introduction to Data Analysis Course gives you a clear, hands-on path to working confidently with real transaction data. You will learn to load and inspect datasets, run data quality checks, handle missing values, and build reliable derived fields. Practice aggregation, descriptive statistics, outlier detection, and time series summaries, then turn your findings into concise, actionable reports for non-technical stakeholders.
Elevify Differentials
Develop Skills
- Retail data cleaning: quickly fix missing, invalid, and inconsistent fields.
- Outlier detection: spot, validate, and justify keeping or removing extreme values.
- Revenue analytics: aggregate, segment, and summarize sales with solid statistics.
- Time series basics: build monthly revenue views and flag spikes, dips, and seasonality.
- Executive reporting: turn analyses into clear, concise insights for non-technical teams.
Suggested Summary
Before starting, you can change the chapters and 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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