Udemy – Data Analysis Statistics with Python 2021-1 – Download

explanation

Statistics for data analysis using Python is a statistics curriculum for data analysis using Python. In this course, you will learn how to perform simple and advanced statistical calculations using Python, and of course, you don’t have to be a programmer. You don’t need to have any prior knowledge of Python. This course starts with the basics and provides coding exercises to assess your knowledge. This course not only explains how to perform statistical tests using Python, but also teaches in detail how to use a calculator to perform these tasks (e.g., doing the 1960 thing). This will help you get real insight into what is behind these tests.

Here’s what you’ll learn in Data Analysis Statistics with Python:

Introduction to Python – no prior knowledge required.
Preliminary statistics – no prior knowledge required
First, we will learn basic statistical concepts together with you using Python. This course has a good combination of theoretical and practical parts.
inferential statistics
Descriptive statistics – mean, fashion, mean, standard deviation, variance and divergence.
Probability Distributions – Normal, Binomial and Balanced

Course specifications

Publisher: Udemy
teacher: Sandeep Kumar and Abhinav Chhabra
Language:English
Education level: from basic to advanced
Number of courses: 136
Duration: 15 hours 57 minutes