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.
本课程是 Data Science Fundamentals with Python and SQL 专项课程 专项课程的一部分
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课程信息
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Write Python code to conduct various statistical tests including a T test, an ANOVA, and regression analysis.
Interpret the results of your statistical analysis after conducting hypothesis testing.
Calculate descriptive statistics and visualization by writing Python code.
Create a final project that demonstrates your understanding of various statistical test using Python and evaluate your peer's projects.
您将获得的技能
- Probability And Statistics
- Regression Analysis
- Data Visualization (DataViz)
- Statistical Hypothesis Testing
- Basic Descriptive Statistics
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授课大纲 - 您将从这门课程中学到什么
Course Introduction and Python Basics
Introduction & Descriptive Statistics
Data Visualization
Introduction to Probability Distributions
审阅
- 5 stars71.32%
- 4 stars19.23%
- 3 stars4.54%
- 2 stars1.04%
- 1 star3.84%
来自STATISTICS FOR DATA SCIENCE WITH PYTHON的热门评论
One of the best course I have taken online. Way of teaching was outstanding.
It is few of the Data Science courses in my learning series. This is one of the Best in Series. Thanks to the team.
Amazing course . Very easy to follow . Definitely improved on my python skills . Would 100% recommend .
Excellent course with a step by step explanation and complete final assignment.
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