Name: Basic Statistics
Brand: University of Amsterdam
Availability: OnlineOnly
Rating: 4.6 (1131 reviews)

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Learner Reviews & Feedback for Basic Statistics by University of Amsterdam

4.6

stars

4,645 ratings

About the Course

Understanding statistics is essential to understand research in the social and behavioral sciences. In this course you will learn the basics of statistics; not just how to calculate them, but also how to evaluate them. This course will also prepare you for the next course in the specialization - the course Inferential Statistics. In the first part of the course we will discuss methods of descriptive statistics. You will learn what cases and variables are and how you can compute measures of central tendency (mean, median and mode) and dispersion (standard deviation and variance). Next, we discuss how to assess relationships between variables, and we introduce the concepts correlation and regression. The second part of the course is concerned with the basics of probability: calculating probabilities, probability distributions and sampling distributions. You need to know about these things in order to understand how inferential statistics work. The third part of the course consists of an introduction to methods of inferential statistics - methods that help us decide whether the patterns we see in our data are strong enough to draw conclusions about the underlying population we are interested in. We will discuss confidence intervals and significance tests. Normally, you would not only learn about all these statistical concepts, but you would also be trained to calculate and generate these statistics yourself using freely available statistical software. Due to technical issues we are currently unable to do so. We will try to offer this again soon....

Top reviews

Jan 24, 2019

took the free option. It has been good so far, learning a ton. I find the videos move quickly and after watching them I had to re-read the material, overall i would recommend this course.

Dec 25, 2018

Essential to get started with statistics and/or machine learning. Explains basics is very easy way.It would have been amazing to have examples and exercise in python languages as well.

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