Data processing refers to the management and analysis of data along its entire life cycle. In this course, students learn how to develop a Python software able to collect, organize and analyse data in order to obtain a first exploratory knowledge

Audience (and prerequisites)

Anyone with a basic knowledge of Python language who wants to explore its applications in Data Science

Approaches (Objective)

Data Collection

• Open data sources
• API
• Scraping

Data Representation

• Data formats
• Relational algebra
• Database

Data Quality Assessment

• Data source and data fusion
• Data volume
• Data standards and data impact

Data wrangling with pandas

• Indexing
• Reshaping
• Merging and joining
• Cleaning and normalisation

Exploratory Data Analysis

• Descriptive statistics
• Data visualisation
• Feature engineering
• Clustering