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

4.6
stars
934 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

FJ

Jun 21, 2019

A very in-depth learning material for inferential statistics. Very good explanation of p-value which clarifies some of the prevailing misunderstandings.

AB

Nov 5, 2020

Great course with practical experience with Python. There are many courses that teach statistics with R but this is the first one to do so in Python.

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76 - 100 of 170 Reviews for Inferential Statistical Analysis with Python

By ARVIND S

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Apr 5, 2020

One of the best courses on statistics and python on Coursera. Do take it before it's gone!

By Rohit B

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Apr 24, 2021

Basic inferential statistical concepts are very well-explained! Five out of five stars!

By Wai K W C

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Dec 8, 2021

Practical course with numerous examples to illustrate statistical concepts

By Vishal V

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Dec 20, 2020

I enjoyed being part of this course and it was really a great experience.

By Sameer K

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Aug 4, 2022

Well organised with practical based course. Nice references of topics.

By parvatharajan k

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Jul 17, 2019

The content explanation is excellent and one of the best I have seen.

By AmirHossein M

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Apr 25, 2020

Very detailed and well explained.

Thank yo so much to all instructors

By wissam m

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Nov 21, 2021

Very professional course. Thank you for this beautiful opportunity

By Mindaugas S

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Dec 21, 2020

Great course! Clear, concise, interesting. I highly recommend it.

By Aarsh C

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Apr 28, 2020

This course really helped boosting my statistical knowledge

By Russel A

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Aug 14, 2020

Concepts are explained very well with real world examples

By Zhanna V

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Sep 26, 2023

great explanations with lots of repetitiond and detailes

By Hong Z

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Feb 24, 2023

A very good designed course and it is so helpful. Thanks

By Álvaro M R

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Mar 21, 2021

Great course. Very good content. Excellent instructors.

By Flo

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Mar 23, 2020

It's an amazing course! very clear, very informative!!

By Edilson S

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Jun 18, 2019

Amazing course! Very useful for all kind of Analysis!

By Imre V

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Apr 14, 2019

Absolutely great course of inferential statistics!

By Ahmed E

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Oct 9, 2022

The best reference for inferential statistics.

By Simphiwe D

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Aug 26, 2021

I enjoyed the instructors and course content

By Trang N

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Jun 15, 2020

lessons are very helful and well-strutured

By Shuran X

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Mar 29, 2020

Detailed explanation and clear syllablus.

By Xuejie Z

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Jun 6, 2020

Very good explanations by the lecturers.

By 18z334 M

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Jul 29, 2020

Every concept was clearly explained

By Marina P

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Oct 7, 2019

Very well done. A lot of practice.

By RODRIGO E P M

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Aug 26, 2020

An excellent introductory course.