Exploratory Data Analysis Course
Gain expertise in exploratory data analysis for retail sales data. Clean and preprocess messy datasets, extract insights on products, customers, channels, time trends, and seasonality, and create impactful BI visualisations that support revenue growth and informed business decisions effectively.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
This course teaches cleaning, validating, and preprocessing sales data to reveal actionable insights on products, customers, channels, and time patterns. Master techniques for managing missing data, creating reproducible workflows, segmenting behaviours, spotting seasonality, and delivering visual reports for swift, data-driven business choices.
Elevify advantages
Develop skills
- Retail EDA basics: calculate key BI metrics from raw sales data quickly.
- Data cleaning for BI: correct data types, outliers, and missing values using repeatable methods.
- Product and category analysis: rank products, identify top performers, underperformers, and seasonal patterns.
- Customer and channel segmentation: group users and compare performance across devices.
- Time series analysis for BI: identify trends, seasonality, and promotion effects in sales data.
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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