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Learner reviews & feedback for Inferential Statistical Analysis with Python

4.6936 reviews

About this 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.

Featured reviews

5.0Reviewed Mar 19, 2020

Great Course. There are so many example to understand the topic. I really enjoyed every lesson of this specialization. I am going forward for the next one.

5.0Reviewed Jan 21, 2021

Very good course content and mentors & teachers. The course content was very structured. I learnt a lot from the course and gained skills which will definitely gonna help me in future.

4.0Reviewed 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.

5.0Reviewed May 27, 2020

The best part of this that it is designed in a way that it encourages people to dig deeper and explore more. The instructors have done a great job in making the curriculam this good.

5.0Reviewed Dec 4, 2019

It is absolutely great. Instructors are veeeery pasionated with what they do, and the course material is very good.I really like this course.

5.0Reviewed Nov 20, 2020

Great in-depth content of further statistics, applied using Python Jupyter Notebooks. Python Code was comprehensive and enabled easy following.

5.0Reviewed Feb 8, 2025

This course solidified my statistics theory knowledge and helped improve my Python coding skills regarding statistical inferences!

5.0Reviewed Jun 30, 2020

Harder than the first of the three courses in the Specialization and that makes it all the better. Really very well done!

5.0Reviewed 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.

5.0Reviewed Apr 1, 2020

This is a very great course. Statistics by itself is a very powerful tool for solving real world problems. Combine it with the knowledge of Python, there no limit to what you can achieve.

4.0Reviewed Jan 9, 2021

Thank you a lot. For me was an incredible course I learned many things and was very important to my career. Thanks to all the team, They are really masters.

5.0Reviewed Jul 26, 2021

this is absolutely a great course. i happy learning this one. the subjects they explained was crystal clear and i would suggest this to my mates.