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.
Об этом курсе
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- 5 stars71,72 %
- 4 stars20,25 %
- 3 stars4,21 %
- 2 stars0,84 %
- 1 star2,95 %
Лучшие отзывы о курсе STATISTICS FOR DATA SCIENCE WITH PYTHON
Good albeit very general presentation of useful libraries and Python programming language for Data Science.
The videos, readings, and labs were not sufficient for me to feel prepared for the assessments. I ended up using outside resources just to understand what was being presented here.
Excellent course with a step by step explanation and complete final assignment.
A good introduction to those who want a brief taste of statistics
Специализация Data Science Fundamentals with Python and SQL: общие сведения
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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