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.
This course is part of the Data Science Fundamentals with Python and SQL Specialization
About this Course
What you will learn
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.
Skills you will gain
- Probability And Statistics
- Regression Analysis
- Data Visualization (DataViz)
- Statistical Hypothesis Testing
- Basic Descriptive Statistics
Syllabus - What you will learn from this course
Course Introduction and Python Basics
Introduction & Descriptive Statistics
Introduction to Probability Distributions
- 5 stars71.18%
- 4 stars19.32%
- 3 stars4.40%
- 2 stars1.35%
- 1 star3.72%
TOP REVIEWS FROM STATISTICS FOR DATA SCIENCE WITH PYTHON
A very good course to clear the basics pf stat of statistics for data science
It is few of the Data Science courses in my learning series. This is one of the Best in Series. Thanks to the team.
Excellent course with a step by step explanation and complete final assignment.
The course is super useful, but I'm not a fan of the peer-reviewed portion for the project.
About the Data Science Fundamentals with Python and SQL Specialization
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