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
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About this Course
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Try Coursera for BusinessWhat 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
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessOffered by
Syllabus - What you will learn from this course
Course Introduction and Python Basics
Introduction & Descriptive Statistics
Data Visualization
Introduction to Probability Distributions
Reviews
- 5 stars71.42%
- 4 stars19.04%
- 3 stars4.42%
- 2 stars1.36%
- 1 star3.74%
TOP REVIEWS FROM STATISTICS FOR DATA SCIENCE WITH PYTHON
Excellent course for introduction to statistics in data science.
Great introduction to basic statistics for data science. Python specialization suits those with no experience in the language.
Excellent course with a step by step explanation and complete final assignment.
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.
About the Data Science Fundamentals with Python and SQL Specialization

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