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Learner Reviews & Feedback for Statistics for Data Science with Python by IBM
433 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 ...
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
MC
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!
JL
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 - 102 of 102 Reviews for Statistics for Data Science with Python
By Paul H
•Nov 10, 2021
None of the tools work and I'm struggling to pick up the practical skills being taught. I've dropped out of this and would like my money back.
By Jason W
•Feb 14, 2021
Has very little to do with Python and all about doing statistics manually.