This repository contains the course materials for the Data Analytics for Finance - Master Programme. The programme is designed to provide a structured approach to learning data analytics with a focus on practical finance skills and industry-standard tools.
- Cleaning and transforming datasets
- Working with Python libraries like
pandasandNumPy - SQL queries for data extraction and transformation
- Key concepts: distributions, hypothesis testing, regression analysis
- Practical implementation of statistical methods
- Application to real-world datasets
- Creating clear and effective data visualisations
- Tools:
matplotlib,seaborn, and Tableau - Emphasis on storytelling with data
- Automating data workflows with Python scripting
- Advanced Excel (including macros)
- Efficient data handling with SQL
- Real-world examples from finance, marketing, and operations
- Simulating common industry scenarios
- End-to-end analysis projects to reinforce concepts
This course assumes a basic understanding of programming and is aimed at learners looking to build proficiency in data analytics through practical, hands-on learning.