Applied Statistics

Target Audience

Participants interested in applying statistical analysis and data science techniques to market datasets, with basic knowledge of Python and quantitative methods.

Learning Outcomes

At the end of the course, participants will be able to:

• Apply statistical methods and data science techniques to analyse real-world market data using Python.
• Explore, visualise, and interpret market data, identifying trends, patterns, and potential critical issues relevant for regulatory analysis.
• Manage data quality issues, including missing data and outliers, using appropriate statistical approaches.

Estimated Time for Completion

12 hours

Level

Level 6: Bachelor’s degree (first cycle)

Type of the assessment

Quizzes and project evaluation

Form of participation in the learning activity

• Asynchronous learning (videos, quizzes, exercises)
• live training workshop (exercise resolution and clarification)
• Project work in groups

Pre-requisites

• Basics of Python programming
• Basics of calculus and algebra