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学生对 University of Amsterdam 提供的 Basic Statistics 的评价和反馈

4.6
4,643 个评分

课程概述

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....

热门审阅

JB

Sep 8, 2020

Thank You, @University_of_Amsterdam for this wonderful course. I have really benefited a lot from this course. Thank you, Dr. Matthijs Rooduijn for making this course so lively and interesting!!

JN

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.

筛选依据:

826 - Basic Statistics 的 850 个评论(共 1,130 个)

创建者 wenyue z

Mar 11, 2021

太棒了!

创建者 Sanha L

Dec 7, 2020

good

创建者 AMRUTA K

Aug 30, 2020

good

创建者 S S S V

Aug 6, 2020

Good

创建者 PADMASHREE B S

Aug 1, 2020

good

创建者 pooja s

Jul 29, 2020

good

创建者 DOMINIC P

Jul 14, 2020

poli

创建者 Utsav M

Jul 14, 2020

Good

创建者 �SADHARAN G

Jul 13, 2020

Good

创建者 Cui L

Jun 21, 2020

good

创建者 Priyanka A

Jun 4, 2020

GOOD

创建者 avaneesh k

Apr 25, 2019

good

创建者 Wendong Y

Feb 19, 2018

good

创建者 Trung-Duy ( N

Sep 23, 2017

Good

创建者 praveen k

Apr 3, 2016

Good

创建者 Daniel P P

Aug 31, 2021

Top

创建者 7hu M

Dec 12, 2021

a

创建者 Niharika N L

Aug 3, 2020

NO

创建者 BONG H K

Jun 22, 2020

ㅇㅇ

创建者 Abdullah b A A

Apr 27, 2025

z

创建者 G Y

Oct 8, 2024

4

创建者 Padmini M

Jul 30, 2020

.

创建者 MAMATHA G

Jun 23, 2020

.

创建者 Deepak R

Apr 1, 2019

V

创建者 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!