Chevron Left
返回到 数据分析工具

學生對 卫斯连大学 提供的 数据分析工具 的評價和反饋

4.5
404 個評分
94 條評論

課程概述

In this course, you will develop and test hypotheses about your data. You will learn a variety of statistical tests, as well as strategies to know how to apply the appropriate one to your specific data and question. Using your choice of two powerful statistical software packages (SAS or Python), you will explore ANOVA, Chi-Square, and Pearson correlation analysis. This course will guide you through basic statistical principles to give you the tools to answer questions you have developed. Throughout the course, you will share your progress with others to gain valuable feedback and provide insight to other learners about their work....

熱門審閱

DL

2015年12月19日

Again, with no formal SAS training and minimal statistics background. I found taking the first course and then this course - week after week my knowledge grew in a consistent and organized fashion.

GK

2017年10月4日

Just love this whole specialisation! videos are great, lessons are great... it's just a great course! highly recommended to anyone looking to dive into the field of data analysis!

篩選依據:

76 - 数据分析工具 的 91 個評論(共 91 個)

創建者 Claude F

2016年2月14日

Lectures are well realized (animation, change in contexts) and peer review process.

創建者 Cesar

2016年4月26日

Una buena forma de introducirte en las herramientas para el análisis de datos

創建者 ayush t

2016年6月5日

Videos are good and to the point.

Animation is very user friendly.

創建者 Patricio S C

2018年4月17日

Good course, but need more direct feedback from professionals.

創建者 Stephen M

2020年11月11日

It is an interactive session, with good notes and videos.

創建者 Yogesh A

2016年5月23日

Very good from a conceptual point of view.

創建者 Omar M E

2020年8月27日

Excellent course in describing statistics

創建者 Rawane M

2018年6月8日

Covers a good deal of material.

創建者 Kaleeswaran .

2020年11月28日

Good

創建者 Naomi F M

2017年3月7日

Had important problems with SAS which were due to a bug in the software but did not receive any help from moderators. However the course was good and interesting.

創建者 Daisuke H

2016年5月3日

There was no explanation about background mathematics. Grading metrics are unclear because assessment of assignments are only peer grading.

創建者 Jin W

2016年4月21日

Very basic introduction and not thorough or mathematical enough.

創建者 Marta M

2016年12月22日

Interesting but very superficial I would say.

創建者 Adam K

2019年4月7日

We don't have to do the calculus, but some acknowledgement that mathematics, and not syntax, is actually responsible for how these tools operate would be great.

創建者 Adrian L T

2022年7月7日

I was so excited about doing furhter coursera courses on data analysis that this one has lowered my spirits, if I am honest. I reluctantly write low gradings but this course has been a disencouraging experience, in coparation with what I was used to in this or other platforms. Last coments from moderators are many years old. The content is also not curated and some informations are no longer valid. The platforms offered are not working completely either (SAS). The content is not bad, though sometimes not so clear. It could be a fair or even a good course but the drawbacks have a big weight. Maybe it is not so bad as I now see it but the peer reviewing process is not managed either: I do not know if it is Coursera's fault, the Wesleyan University's or even ours -the students'- becuase very old or obsolete or not valid assignments are always around preventing current students to be able to grade current peers and respectively preventing us current students from getting graded. I am sorry if I have misunderstood anything.

創建者 Global L O P J G U

2020年6月15日

too complicated