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
LevelIntermediate
Commitment7 weeks of study, 3 hours a week
Language
English
How To PassPass all graded assignments to complete the course.
User Ratings
4.9 stars
Average User Rating 4.9See what learners said
Syllabus

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Coursework
Coursework

Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.

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Creators
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 117 ratings

Excellent course. The materials were well laid out and explained in an accessible but thorough manner. I've already begun using what I've learned in my current work.

I thought this was an excellent and enjoyable course. Daniel Simons is a great teacher, and I learned a lot as well as picking up some practical tools for the future, such as easy to use spreadsheets to calculate and convert effect sizes, and confidence intervals. I'm an R novice, but got on fine with it and really appreciated the pedagogical value of the R-simulations.

Quite interesting and well structured. The contents of this course deserve a wide audience.

Excellent course.