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Learner Reviews & Feedback for Basic Statistics by University of Amsterdam

4.6
stars
4,489 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. You will not only learn about all these statistical concepts, you will also be trained to calculate and generate these statistics yourself using freely available statistical software....

Top reviews

AV

Jun 27, 2022

Instructors have provided concise explanations of the concepts. There are many examples considered that make statistics easier to understand! Also, the illustrations are fancy. I enjoyed every video!

PG

Apr 20, 2016

This is a nice course...thanks for providing such a great content from University of Amserdam.

Please allow us to complete the course as I have to wait till the session starts for week 2 lessions.

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801 - 825 of 1,090 Reviews for Basic Statistics

By JEFF J J

Oct 24, 2023

good

By wenyue z

Mar 11, 2021

太棒了!

By Sanha L

Dec 7, 2020

good

By AMRUTA K

Aug 30, 2020

good

By S S S V

Aug 6, 2020

Good

By PADMASHREE B S

Aug 1, 2020

good

By pooja s

Jul 29, 2020

good

By DOMINIC P

Jul 14, 2020

poli

By Utsav M

Jul 14, 2020

Good

By �SADHARAN G

Jul 14, 2020

Good

By Cui L

Jun 22, 2020

good

By Priyanka A

Jun 4, 2020

GOOD

By avaneesh k

Apr 25, 2019

good

By Wendong Y

Feb 19, 2018

good

By Trung-Duy ( N

Sep 23, 2017

Good

By praveen k

Apr 3, 2016

Good

By Daniel P P

Aug 31, 2021

Top

By 7hu M

Dec 12, 2021

a

By Niharika N L

Aug 3, 2020

NO

By BONG H K

Jun 22, 2020

ㅇㅇ

By G Y

Oct 8, 2024

4

By Padmini M

Jul 30, 2020

.

By MAMATHA G

Jun 23, 2020

.

By Deepak R

Apr 1, 2019

V

By Tomislav S

May 11, 2020

Even though I graded 5 stars, I would actually prefer to grade 4,5 stars this course. I liked many things, but some were really frustrating. Pros: the overall knowledge that is offered in this course (BA level), course structure, quizzes. Many students critized the course integration with R, but I do like this fact. I am aware they could have organized the practical part with some other tools, but for me R is a necessity and a must. However, there are some drawbacks. 1. The presentation quality between two instructors was noticeable. Somehow, one of them was repeating more, had a slower pace, more vivid examples, which I prefer. 2. There are several important mistakes with numbers in the presentation slides. Many students have already noticed that, so it's a pitty no one corrected them. 3. This drawback is more for DataCamp, and not for this course, but the spelling was really bad. Too many obvious mistakes. 4. Final test. It was quite demanding for me. I still don't know how one could answer 30 math questions, many of which include calculating, for only 1 hour of time!? Also, some questions were really tough and I haven't found an answer anywhere in my lectures. There are at least 3 answers that I don't know how to explain why were (in)correct.

I plan to take another statistics course in Coursera, as well as at Khan Academy, so I will be able to compare and evaluate more adequately the knowledge presented. For the time being, I would recommend this course!