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Avis et commentaires pour d'étudiants pour Outils d'analyse des données par Université Wesleyenne

392 évaluations
90 avis

À propos du cours

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....

Meilleurs avis

19 déc. 2015

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 déc. 2015

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 - 87 sur 87 Avis pour Outils d'analyse des données

par Patricio S C

17 avr. 2018

Good course, but need more direct feedback from professionals.


10 nov. 2020

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

par Yogesh A

23 mai 2016

Very good from a conceptual point of view.

par Omar M E

27 août 2020

Excellent course in describing statistics

par Rawan M

8 juin 2018

Covers a good deal of material.

par Kaleeswaran .

28 nov. 2020


par Naomi F M

7 mars 2017

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.

par Daisuke H

3 mai 2016

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

par Jin W

21 avr. 2016

Very basic introduction and not thorough or mathematical enough.

par Marta M

22 déc. 2016

Interesting but very superficial I would say.

par Adam K

7 avr. 2019

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.

par Ritu N

15 juin 2020

too complicated