Statistics Fundamentals with Python (Complete Skill Track)

A One-Stop Solution to learn everything regarding Statistics in Data Science, to excel in your career.

What you'll learn

Statistical knowledge is key to evaluating, interpreting, and reporting findings from your data. With these courses, you will learn to confidently evaluate statistical models, simulate data, and draw conclusions from a wide variety of data sets.

Requirements

No Prerequisites

Description

Statistical knowledge is key to evaluating, interpreting, and reporting findings from your data. With this Course, you will learn to confidently evaluate statistical models, simulate data, and draw conclusions from a wide variety of data sets. You will build the Foundation you need to think statistically and to speak the language of your data. Then you would practise how to perform the two key tasks in statistical inference: parameter estimation and hypothesis testing. You will also explore the concepts and applications of linear models with python and build models to describe, predict, and extract. At the end you will wrap up by solving increasingly complex problems using simulations to generate and analyze data.

Who this course is for:

Begineer Python developers curious about data science.