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Learner Reviews & Feedback for Data Analysis Tools by Wesleyan University

4.5
stars
413 ratings

About the Course

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....

Top reviews

DL

Dec 19, 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.

GK

Oct 4, 2017

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!

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76 - 93 of 93 Reviews for Data Analysis Tools

By JOSEPH E

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Jan 25, 2016

This course is very interesting and every data scientist should take time and digest it.

By Claude F

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Feb 14, 2016

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

By Cesar

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Apr 26, 2016

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

By ayush t

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Jun 5, 2016

Videos are good and to the point.

Animation is very user friendly.

By Patricio S C

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Apr 17, 2018

Good course, but need more direct feedback from professionals.

By Stephen M

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Nov 11, 2020

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

By Yogesh A

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May 23, 2016

Very good from a conceptual point of view.

By Omar M E

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Aug 27, 2020

Excellent course in describing statistics

By Rawane M

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Jun 8, 2018

Covers a good deal of material.

By Kaleeswaran .

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Nov 28, 2020

Good

By Naomi F M

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Mar 7, 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.

By Daisuke H

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May 3, 2016

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

By Jimmy W

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Apr 21, 2016

Very basic introduction and not thorough or mathematical enough.

By Marta M

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Dec 22, 2016

Interesting but very superficial I would say.

By Adam K

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Apr 7, 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.

By Adrian L T

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Jul 7, 2022

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.

By Ayan M

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Aug 28, 2023

I submitted my assignment like 4 months ago and still, it is not showing my graded assignments and not giving me any grades. I even complained about this through mail but they did not listen.

By Ritu N

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Jun 15, 2020

too complicated