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Learner Reviews & Feedback for Inferential Statistical Analysis with Python by University of Michigan

4.6
stars
926 ratings

About the Course

In this course, we will explore basic principles behind using data for estimation and for assessing theories. We will analyze both categorical data and quantitative data, starting with one population techniques and expanding to handle comparisons of two populations. We will learn how to construct confidence intervals. We will also use sample data to assess whether or not a theory about the value of a parameter is consistent with the data. A major focus will be on interpreting inferential results appropriately. At the end of each week, learners will apply what they’ve learned using Python within the course environment. During these lab-based sessions, learners will work through tutorials focusing on specific case studies to help solidify the week’s statistical concepts, which will include further deep dives into Python libraries including Statsmodels, Pandas, and Seaborn. This course utilizes the Jupyter Notebook environment within Coursera....

Top reviews

YB

May 28, 2019

This course is significantly better than the previous one. Nevertheless, if you want to get knowledge about Python, it’s not about this course.

VD

Aug 7, 2022

Useful course to learn basic concepts of inferential statistical analysis. However, I would expect more Python exercises/assignments than the essay-type writing assignment.

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101 - 125 of 168 Reviews for Inferential Statistical Analysis with Python

By Benjamin F

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Jan 14, 2020

Well presented and rich content.

By Thanaa A

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Sep 26, 2020

perfect course thanks everyone.

By JAVIER O F C

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Jun 25, 2020

Excelente curso, muchas gracias

By Joao S

•

Sep 30, 2020

Just another fantastic course.

By balaji r

•

May 20, 2020

Highly recommend this course.

By 고도균

•

Jul 12, 2019

The python codes are amazing.

By HASSAN M A H H M A H

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Apr 12, 2023

سهلة التعلم لتحليل البيانات

By JITHIN P J

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May 16, 2020

very nice and informative

By SEBASTIAN R R

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Aug 16, 2020

Excelente curso!!!

By Aniket S

•

Apr 15, 2020

Excellent Cousre.

By Beatriz J F

•

Nov 24, 2019

Very satisfied.

By Varanasi v r

•

Jul 6, 2020

Extremely Good

By Ime E

•

Oct 2, 2020

Great course.

By Eduardo L L

•

Sep 22, 2021

Good Course

By Dr G S

•

Mar 9, 2022

very good

By cameron g

•

Apr 21, 2019

Excellent

By Hoang V T

•

Oct 11, 2022

thanks

By Deleted A

•

May 17, 2020

Greate!

By Justin H

•

Sep 24, 2023

brutal

By Kazhumurat B

•

Dec 17, 2024

круто

By C R K R

•

Nov 21, 2024

good

By EISSA Y S

•

Apr 1, 2023

شكرا

By EmyZhang

•

May 6, 2021

good

By P. B R

•

Apr 24, 2020

good

By s n

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Mar 2, 2020

good