Introduction to Data Analysis Course
This course introduces essential data analysis techniques using real transaction data, covering data loading, quality assessment, missing value handling, derived fields, aggregation, statistics, outlier detection, time series, and reporting for non-technical audiences.

flexible workload of 4 to 360h
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 will discover how to load and examine datasets, perform data quality assessments, manage missing values, and create dependable derived fields. Engage in aggregation, descriptive statistics, outlier identification, and time series overviews, then transform your insights into succinct, practical 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 on retaining or excluding extreme values.
- Revenue analytics: aggregate, segment, and summarise sales using robust statistics.
- Time series basics: construct monthly revenue perspectives and highlight spikes, dips, and seasonal patterns.
- Executive reporting: convert 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 workloadWhat our students say
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