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Вернуться к Инструменты анализа данных

Отзывы учащихся о курсе Инструменты анализа данных от партнера Уэслианский университет

Оценки: 404

О курсе

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....

Лучшие рецензии


19 дек. 2015 г.

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.


2 дек. 2015 г.

Very good for beginners. concept explanation as well as coding were great. doesn't take too long to finish. I enrolled regression modeling course by Wesleyan and waiting to start.

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76–91 из 91 отзывов о курсе Инструменты анализа данных

автор: Claude F

14 февр. 2016 г.

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

автор: Cesar

26 апр. 2016 г.

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

автор: ayush t

5 июня 2016 г.

Videos are good and to the point.

Animation is very user friendly.

автор: Patricio S C

17 апр. 2018 г.

Good course, but need more direct feedback from professionals.

автор: Stephen M

11 нояб. 2020 г.

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

автор: Yogesh A

23 мая 2016 г.

Very good from a conceptual point of view.

автор: Omar M E

27 авг. 2020 г.

Excellent course in describing statistics

автор: Rawane M

8 июня 2018 г.

Covers a good deal of material.

автор: Kaleeswaran .

28 нояб. 2020 г.


автор: Naomi F M

7 мар. 2017 г.

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.

автор: Daisuke H

3 мая 2016 г.

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

автор: Jin W

21 апр. 2016 г.

Very basic introduction and not thorough or mathematical enough.

автор: Marta M

22 дек. 2016 г.

Interesting but very superficial I would say.

автор: Adam K

7 апр. 2019 г.

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.

автор: Adrian L T

7 июля 2022 г.

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.

автор: Global L O P J G U

15 июня 2020 г.

too complicated