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Statistics for Data Analysis Using Python is a statistics training course for data analysis using Python. With the help of this course you will learn how to do simple and advanced statistical calculations using Python and of course you do not need to be a programmer. You are not expected to have prior knowledge of Python, in this course we will start with the basics and provide coding exercises to assess your knowledge. This course not only explains how to conduct statistical tests using Python, but also teaches in detail how to do these things with a calculator (such as doing work in 1960). This will help you gain real insight into what is behind these tests.

What you will learn in Statistics for Data Analysis using Python:

  • Introductory Python – No prior knowledge required
  • Preliminary Statistics – No prior knowledge required
  • You will first learn basic statistical concepts with their users using Python. This course is a good combination of theoretical and practical parts.
  • Inferential statistics
  • Descriptive statistics – mean, fashion, mean, standard deviation, variance and quarters
  • Probability distribution – normal, binomial and poise

Course specifications

Publisher: Udemy
Instructors: Sandeep Kumar and Abhin Chhabra
Language: English
Education Level: Basic to Advanced
Number of Courses: 136
Duration: 15 hours and 57 minutes

Course Statistics for Data Analysis Using Python 2021-2:

Statistics for Data Analysis Using Python Contents

Prerequisites course:

Basic school level mathematics will be helpful.
You will need to download and install Python on your PC or laptop.


Statistics for Data Analysis Using Python

Sample film

Installation guide

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English subtitle

Quality: 720p

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Download Part 1 – 2 GB

Download Part 2 – 2 GB

Download Part 3 – 2 GB

Download Part 4 – 700 MB

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6.7 GB

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