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Learner Reviews & Feedback for Statistics for Data Science with Python by IBM

4.5

stars

442 ratings

About the Course

This Statistics for Data Science course is designed to introduce you to the basic principles of statistical methods and procedures used for data
analysis. After completing this course you will have practical knowledge of crucial topics in statistics including - data gathering, summarizing
data using descriptive statistics, displaying and visualizing data, examining relationships between variables, probability distributions, expected
values, hypothesis testing, introduction to ANOVA (analysis of variance), regression and correlation analysis. You will take a hands-on approach
to statistical analysis using Python and Jupyter Notebooks – the tools of choice for Data Scientists and Data Analysts. At the ... ...

Top reviews

Dec 1, 2021

Excellent Course! Clear and didactical explanations, objectives exercices and very oriented subjects! For those who are interested in data analytics, this the trainning you should take!

Jan 20, 2021

The final assignment is very well designed, I was able to review the entire course material and consolidate the learning. I have now a good understanding of hypothesis testing.

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101 - 104 of 104 Reviews for Statistics for Data Science with Python

By Yaseen A

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Dec 4, 2024

the videos were not enough to clarify the points of Statistical tests and also the contents of videos for modules 4 and above also were not enough for such subject

By Rajeswar S

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Jun 23, 2022

very basic one , course looks like preface only. seems only want to tell the topic which are there in statatitics. there is no details provided in this course. not usefull at all.