Introduction to Data Analysis Course
This course offers hands-on experience in data analysis using real transaction data, covering data loading, quality checks, handling missing values, aggregation, statistics, outlier detection, time series, and reporting for stakeholders.

4 to 360h flexible workload
certificate valid in your country
What will I learn?
This Introduction to Data Analysis Course provides 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 advantages
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 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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