Who is this class for: This course is aimed at anyone who wants to improve their statistical inferences, either because you are preparing to do empirical research for the first time, or because you were never taught these important statistical concepts in a clear and accessible manner in the past. I didn't know most of the things you will learn in this course until well after I got my PhD, and I've tried to create the course I would have liked to have gotten when I started to do research. You should have some basic knowledge about calculating descriptive statistics, and how to perform t-tests, correlations, and ANOVA's (If you don't have this knowledge, try https://www.coursera.org/learn/basic-statistics first). We will use R in many of the assignments, but you don't need any previous knowledge of R - we will mainly use it as a fancy calculator.

Created by:  Eindhoven University of Technology

  • Daniel Lakens

    Taught by:  Daniel Lakens, Associate Professor

    Department of Human-Technology Interaction
Commitment7 weeks of study, 3 hours a week
How To PassPass all graded assignments to complete the course.
User Ratings
4.9 stars
Average User Rating 4.9See what learners said

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Eindhoven University of Technology
Eindhoven University of Technology (TU/e) is a research-driven, design-oriented university of technology with a strong international focus. The university was founded in 1956, and has around 8,500 students and 3,000 staff. TU/e has defined strategic areas focusing on the societal challenges in Energy, Health and Smart Mobility. The Brainport Eindhoven region is one of world’s smartest; it won the title Intelligent Community of the Year 2011.
Ratings and Reviews
Rated 4.9 out of 5 of 97 ratings

Clear, concise, and engaging explanation of many statistical concepts that can be readily applied in research.

Great course for getting to know heterodox statistical paradigms, how open science could improve the scientific endeavor as a whole, the reasons that led to the replication crisis in some scientific areas and how to correct them. Due to this course I feel more confident analyzing scientific papers, meta-analysis and study designs. It also gave me great tools for conducting my own research, like getting to know the TIER protocol and the pre-registration process. This course awakened my interest in philosophy of science to a degree that I will start a second master´s degree in history and philosophy of science next semester. Prof. Lakens is excellent at making complex issues simple to understand, his videos are entertaining, informative and very well thought out.

Great course! Goes over proper statistical inference and its interpretation from multiple perspectives. The hands-on R exercises are invaluable. Don't be scared off by them - you don't really need to know R to do them. If you interpret literature from the psychological or medical fields, this is a great resource.

Extremely useful course!