Created by:  University of Amsterdam

  • Matthijs Rooduijn

    Taught by:  Matthijs Rooduijn, Dr.

    Department of Political Science

  • Emiel van Loon

    Taught by:  Emiel van Loon, Assistant Professor

    Institute for Biodiversity and Ecosystem Dynamics
Basic Info
LevelBeginner
Commitment8 weeks of study, week 1: 3-6 hours; week 2-8: 1-3 hours/week.
Language
English
How To PassPass all graded assignments to complete the course.
User Ratings
4.7 stars
Average User Rating 4.7See what learners said
Syllabus

FAQs
How It Works
Travail en cours
Travail en cours

Chaque cours fonctionne comme un manuel interactif en proposant des vidéos préenregistrées, des quiz et des projets.

Aide de la part de vos pairs
Aide de la part de vos pairs

Connectez-vous à des milliers d'autres étudiants et débattez sur des idées, discutez le contenu du cours et obtenez de l'aide pour en maîtriser les concepts.

Certificats
Certificats

Obtenez une reconnaissance officielle pour votre travail et partagez votre réussite avec vos amis, vos collègues et vos employeurs.

Creators
University of Amsterdam
A modern university with a rich history, the University of Amsterdam (UvA) traces its roots back to 1632, when the Golden Age school Athenaeum Illustre was established to train students in trade and philosophy. Today, with more than 30,000 students, 5,000 staff and 285 study programmes (Bachelor's and Master's), many of which are taught in English, and a budget of more than 600 million euros, it is one of the largest comprehensive universities in Europe. It is a member of the League of European Research Universities and also maintains intensive contact with other leading research universities around the world.
Pricing
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Ratings and Reviews
Rated 4.7 out of 5 of 1,399 ratings

Simply explained

This is a great beginners course. It sets down the foundations quite nicely with minimal jargon. Would definitely recommend for anyone starting their statistics journey.

Very Good Course with nice explanations

The title fits precisely the content.

Very easy to follow, with nicely illustrated videos.

Definitely on the simplistic side, but intentionally so.

Assignments are in R and are run on the DataCamp platform.

The quality of assignments in DataCamp is generally not one par with the rest of the content.