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 stars71.42%
- 4 stars19.04%
- 3 stars4.42%
- 2 stars1.36%
- 1 star3.74%
TOP REVIEWS FROM STATISTICS FOR DATA SCIENCE WITH PYTHON
Amazing course . Very easy to follow . Definitely improved on my python skills . Would 100% recommend .
The final assignment is very well designed, I was able to review the entire course material and consolidate the learning. I have now a good understanding of hypothesis testing.
One of the best course I have taken online. Way of teaching was outstanding.
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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