Data Visualisation & Storytelling for Data Analysis
Most analysts can build a chart, but few can make it convince anyone. This short course is about the skill that separates a data analyst from a chart-maker: turning numbers into a clear story that drives a decision. It is deliberately tool-independent, because the principles here apply whether you work in Power BI, Excel, Python, or anything else. You'll learn how to choose the right chart for the question, how to design visuals that are read instantly rather than puzzled over, how to use colour and layout with intent, and how to build a narrative that takes your audience from data to decision. By the end you'll be able to look at any dashboard or report and know not just whether it's correct, but whether it actually communicates.
Eng. Abdikarim MataanA correct chart and a convincing chart are not the same thing. Learn to build the second one.
Most analysts can build a chart, but few can make it convince anyone. This short course is about the skill that separates a data analyst from a chart-maker: turning numbers into a clear story that drives a decision. It is deliberately tool-independent, because the principles here apply whether you work in Power BI, Excel, Python, or anything else. You'll learn how to choose the right chart for the question, how to design visuals that are read instantly rather than puzzled over, how to use colour and layout with intent, and how to build a narrative that takes your audience from data to decision. By the end you'll be able to look at any dashboard or report and know not just whether it's correct, but whether it actually communicates.
What you'll master
- Understand what makes a visualisation effective
- Choose the right chart for the question
- Design visuals that are read instantly
- Use colour and layout with intent
- Avoid the most common chart mistakes
- Turn a set of charts into a clear narrative
- Present insights that lead to a decision
- Critique and improve any dashboard or report