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.
About this Course
Skills you will gain
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- 5 stars71.72%
- 4 stars20.25%
- 3 stars4.21%
- 2 stars0.84%
- 1 star2.95%
TOP REVIEWS FROM STATISTICS FOR DATA SCIENCE WITH PYTHON
It is few of the Data Science courses in my learning series. This is one of the Best in Series. Thanks to the team.
I loved learning here; it was explained so well and all the modules here are too fun to learn <3
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.
Very interesting course as it included very powerfull tools.
About the Data Science Fundamentals with Python and SQL Specialization
Data Science is one of the hottest professions of the decade, and the demand for data scientists who can analyze data and communicate results to inform data driven decisions has never been greater. This Specialization from IBM will help anyone interested in pursuing a career in data science by teaching them fundamental skills to get started in this in-demand field.
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