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.
Ce cours fait partie de la Spécialisation Data Science Fundamentals with Python and SQL
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À propos de ce cours
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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.
Compétences que vous acquerrez
- Probability And Statistics
- Regression Analysis
- Data Visualization (DataViz)
- Statistical Hypothesis Testing
- Basic Descriptive Statistics
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Programme de cours : ce que vous apprendrez dans ce cours
Course Introduction and Python Basics
Introduction & Descriptive Statistics
Data Visualization
Introduction to Probability Distributions
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Meilleurs avis pour STATISTICS FOR DATA SCIENCE WITH PYTHON
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.
À propos du Spécialisation Data Science Fundamentals with Python and SQL

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