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.
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- 5 stars72.62%
- 4 stars19.39%
- 3 stars4.18%
- 2 stars0.76%
- 1 star3.04%
STATISTICS FOR DATA SCIENCE WITH PYTHON의 최상위 리뷰
A good introduction to those who want a brief taste of statistics
A very good course to clear the basics pf stat of statistics for data science
Great introduction to basic statistics for data science. Python specialization suits those with no experience in the language.
It is few of the Data Science courses in my learning series. This is one of the Best in Series. Thanks to the team.
Data Science Fundamentals with Python and SQL 특화 과정 정보
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