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Statistical Thinking for Data Analysis
Understand the Reasoning and Thinking of Data Analysis
Created byAnthony Donoghue
Last updated 9/2025
English
English [Auto],
What you'll learn
- How to assess the quality of study design and how it affects data quality
- How to reason with variation in data using data visualizations and summary statistics
- How to reason with the variation in sample statistics using sampling distributions
- A conceptual understanding of statistical inference: confidence intervals and hypothesis testing
- Introduction to linear regression
- Introduction to R and RStudio analyzing real-world data
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Course content
10 sections • 42 lectures • 7h 16m total length
Requirements
- Basic Arithmetic. No other background knowledge required
- No programming experience required
Description
Course Description
This is a university level course taught by a professor with 16 years of teaching experience at Columbia University and other institutions including New York University, Yale University, and Berkeley. Providing the broader audience with the opportunity to truly understand important statistical concepts at the foundation is what motivates me to keep teaching this material.
It is a clear and concise version of my Columbia University course titled “Introduction to Statistical Reasoning”. It is the companion course to the third edition of my book “Statistical Thinking through Media Examples” published by Cognella. You can preview and purchase my book from their website (google book title) .
My course and book provides you with the statistical intuition and understanding you need, through media, research, and real-world data examples. I communicate the statistical concepts in my course and book in a language you will understand with a minimum of calculations. You will learn to go beyond the news headlines to critique the quality of the research for yourself, including polls and surveys. You will learn how to conduct statistical analysis and how to interpret the results.
With a solid foundational understanding of statistics, you can build on that foundation with confidence. You can become a statistical analyst or data scientist with the statistical intuition to properly conduct research and interpret the results. Join me and start building that necessary foundation today!
Who this course is for:
- Students who want to gain a foundational understanding of statistics.
- Professionals, like doctors or journalists, who need a better understanding of statistical inference for assessing the quality of research
- Professors preparing to teach introductory statistics courses using my book
- Anyone who wants to gain the critical and statistical thinking skills to question the quality of statistical information presented in the media or in journal articles