INTRODUCTION:
This course covers the essential techniques of data and statistical analysis, along with best practices for data presentation. Participants will learn to collect, analyse, interpret, and effectively communicate data insights to support informed decision-making across various business contexts.
LEARNING OUTCOMES:
- Understand core concepts in data and statistical analysis.
- Develop skills in data collection, cleaning, and preparation.
- Apply statistical methods to analyse data effectively.
- Interpret quantitative findings and derive insights.
- Enhance data visualisation and presentation skills.
- Communicate data-driven insights clearly to stakeholders.
INDICATIVE MODULES:
- Introduction to Data and Statistical Analysis
- Data Collection and Cleaning Techniques
- Descriptive and Inferential Statistics
- Hypothesis Testing and Regression Analysis
- Data Visualisation Tools and Techniques
- Interpretation and Reporting of Data
- Software Tools for Statistical Analysis
- Best Practices in Data Presentation
- Case Studies in Data-Driven Decision Making
