Data Analysis

This course provides a well-rounded introduction to data analysis, combining foundational concepts with practical tools for real-world application. Learn key skills such as data literacy, ownership, and visualization, while mastering both qualitative and quantitative analysis methods. Explore business writing and report development through the 5 Cs and the full report lifecycle. The course also covers powerful business analysis techniques like SWOT, PESTLE, MoSCoW, and the 5 Whys, along with a range of data analysis approaches including descriptive, exploratory, inferential, predictive, causal, and mechanistic methods.

Modules covered in this course:

·         Data Literacy

·         The Power of Big Data

·         Visualizing Data

·         Data Ownership

·         The 5 Cs of Report Writing

·         Developing Research Skills

·         The Basics of Business Writing

·         The Stages of Report Writing: Investigating, Planning, Writing and Revising

·         Report Writing: The Power

·         Business Analysis Technique - MOST and SWOT

·         Business Analysis Technique - PESTLE

·         Business Analysis Technique - MoSCoW

·         Business Analysis Technique - The 5 Whys

·         Business Analysis Technique - Six Thinking Hats

·         Qualitative and Quantitative Data Analysis

·         Methods of Analyzing Qualitative and Quantitative Data

·         Descriptive and Exploratory Data Analysis Techniques

·         Inferential and Predictive Data Analysis Techniques

Causal and Mechanistic Data Analysis Techniques