Statistics for Data Analysts

The part of data analysis everyone fears, finally explained for analysts, not mathematicians.

Statistics is the part of data analysis most people fear, and it's also where most wrong conclusions come from. This course teaches the statistics an analyst genuinely uses on the job, with intuition first and heavy maths left out. You won't memorise formulas you'll never use; you'll learn to understand what your data is telling you and, just as importantly, what it isn't. You start with how to summarise data honestly, then learn how data is distributed, how to tell a real pattern from random noise, how relationships between variables work, and how to read the statistical output that tools like Power BI, SPSS, and Python produce. The goal is simple: by the end you can analyse data and trust your own conclusions, and explain them to someone else without overstating what you actually found.

What you'll master

• Understand the role of statistics in data analysis
• Summarise data with the right measures
• Read and interpret distributions
• Understand variation and what it means
• Tell a real pattern from random noise
• Understand correlation and what it does not prove
• Interpret common statistical output correctly
• Avoid the most common statistical mistakes
• Explain findings honestly without overstating them.