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.

flexible workload from 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 calculated fields. Engage in aggregation, descriptive statistics, outlier identification, and time series overviews, then transform your insights into brief, 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 whether to retain or exclude extreme values.
- Revenue analytics: aggregate, segment, and summarise sales using reliable 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 groups.
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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