Retail: Data Preparation and Basic Statistical Analysis
BeginnerGuided Project
This lab is dedicated to downloading, preparing and making basic statistical analysis of Retail based on Global Food Prices data from the World Food Programme covering foods such as maize, rice, beans, fish, and sugar for 76 countries and some 1,500 markets.
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Language
- English
Topic
- Data Analysis
Industries
- Retail
Enrollment Count
- 357
Skills You Will Learn
- Artificial Intelligence, Data Science, Machine Learning
Offered By
- IBM
Estimated Effort
- 1 hour
Platform
- SkillsNetwork
Last Update
- March 17, 2026
About this Guided Project
This lab will teach learners to download preparation and statistical analysis including visualization of a DataSet.
The basic difficulty of statistical analysis of real data is that it is prepared or presented in a form that is not convenient for machine learning methods. Very often real data consists of mixed information in different scales. This data must be found and rescaled or recalculated. This lab shows methods of automatic preparation of real data for such cases. There is also the ability to competently manipulate and transform big data in order to obtain a convenient statistical report both in tabular form and in the form of graphs. This will also be addressed here.
What you will learn
After completing this lab, you will be able to:
- Download a DataSet from *.csv files
- Analysis of Data
- Create new columns and recalculate values of existing ones
- Transform the table
- Visualize data with pandas and matplotlib
- Expect
- Minimum and maximum value
- Average
- Quarters
- Pivot tables

Language
- English
Topic
- Data Analysis
Industries
- Retail
Enrollment Count
- 357
Skills You Will Learn
- Artificial Intelligence, Data Science, Machine Learning
Offered By
- IBM
Estimated Effort
- 1 hour
Platform
- SkillsNetwork
Last Update
- March 17, 2026