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.

4 to 360 hours flexible workload
valid certificate 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 identification, and time series summaries, then transform your insights into clear, actionable reports for non-technical audiences.
Elevify advantages
Develop skills
- Retail data cleaning: swiftly correct missing, invalid, and inconsistent fields.
- Outlier detection: identify, verify, and decide whether to retain or exclude extreme values.
- Revenue analytics: aggregate, segment, and summarise sales using robust statistics.
- Time series basics: construct monthly revenue perspectives and highlight spikes, drops, and seasonal patterns.
- Executive reporting: convert analyses into straightforward, succinct 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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