Master Statistics with Python

Almost everything we do creates data, and knowing how to investigate and communicate it is key. In this Skill Path, you’ll learn how to summarize data and run hypothesis tests using Python, one of the most popular programming languages.

What will you learn:
Gain Python skills
Summarize and visualize data
Understand a population

Includes(Topics)
  • Statistics ,
  • Experimental Design ,
  • Python ,
  • pandas ,
  • NumPy ,
  • SciPy ,
  • matplotlib ,
  • more
Duration : 4 Weeks
Hours: 31
Price: Rs.10900
Pre Requisites: None

There are 9 modules in this course

Module

1

Variable Types

Learn about variable types and how to store them in Python.

Module

2

Summary Statistics for Quantitative Data

Learn how to summarize quantitative data in Python using summary statistics.

Module

3

Visualizing a Distribution of Quantitative Data

Learn how to visualize and describe a distribution of quantitative data using histograms, box plots, and quantiles/quartiles.

Module

4

Summary Statistics for Categorical Data

Learn how to summarize categorical variables in Python using numerical summary statistics.

Module

5

Visualizing Categorical Data

Learn how to visualize and describe categorical data using bar charts and pie charts.

Module

6

Associations between Variables

Learn how to investigate whether there is an association between two variables.

Module

7

Probability

Learn the fundamentals of probability by investigating random events.

Module

8

Hypothesis Testing

Learn about hypothesis testing and how to design an experiment in Python.

Module

9

Linear Regression

Learn how to fit, interpret, and compare linear regression models in Python.

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