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Foundations of Statistics for Data Analysts
Foundations for working analysts

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Course Overview

Foundations of Statistics for Data Analysts builds the foundational statistical concepts working analysts actually use day to day, stripped of unnecessary theoretical complexity. The course covers descriptive statistics, correlation, and basic inference, always tied back to how these concepts inform real analytical decisions. Its closing exercise has delegates use statistics to settle a genuine an

Key Takeaways

1
Apply descriptive statistics to summarize data accurately and clearly
2
Interpret correlation correctly, avoiding the causation trap
3
Draw sound conclusions from sample data using basic inference
4
Identify and avoid the most common statistical misinterpretations
5
Use statistical reasoning to resolve real analytical disagreements

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LEORON - Professional Development Institute
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Course Outline

1. Descriptive statistics - summarizing data without losing meaning
2. Correlation and what it does and does not prove
3. Basic inference - drawing conclusions from a sample
4. Common statistical mistakes analysts make
5. Exercise - using statistics to settle a real analytical disagreement

Who Should Attend?

This course is designed for analysts who want a genuine working grasp of core statistical concepts without unnecessary academic complexity. It is ideal for those who use terms like correlation and significance in their work but have never felt fully confident applying them.

FAQ

Do I need a mathematics background for this course?

No, the course is designed for working analysts without a formal statistics background and builds concepts from first principles.

Is this an academic statistics course?

No, the focus throughout is on practical application to real analytical questions rather than theoretical depth.

How is the disagreement exercise structured?

Delegates work through a realistic analytical dispute and use statistical reasoning to reach and defend a resolution.

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