Course Overview
The Data Analysis programme introduces the principles and techniques used to turn data into useful insights. Learners develop a foundation in data preparation, exploratory analysis, statistics, visualisation and practical interpretation.
Key Learning Objectives
- Collect, clean and structure data for analysis
- Use exploratory data analysis to identify patterns and outliers
- Apply basic statistical analysis, including hypothesis testing and regression
- Communicate findings through effective data visualisation
- Understand descriptive and inferential statistics
- Explore predictive analytics and machine-learning concepts
- Interpret findings and draw actionable insights
- Apply techniques to real-world datasets and problems
Who Should Attend
- Professionals in data-related roles
- People transitioning into data-related careers
- Managers and decision-makers who need data literacy
- Students and anyone interested in data-analysis skills
Learning that connects to work
Renzy Academy emphasises practical, industry-focused training so that knowledge can be applied in professional and business settings.