Introduction to Data Analysis Course
This course offers practical skills in data analysis, focusing on cleaning retail data, detecting outliers, performing revenue analytics, understanding time series, and creating executive reports.

from 4 to 360h flexible workload
certificate valid in your country
What will I learn?
This Introduction to Data Analysis Course provides a straightforward, practical guide to handling real transaction data with confidence. You'll learn to load and examine datasets, perform data quality checks, manage missing values, and create dependable derived fields. You'll practise aggregation, descriptive statistics, outlier detection, and time series summaries, then transform your findings into clear, 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 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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