Exploratory Data Analysis with Python

Learn how to get the most out of your data using Exploratory Data Analysis. In this course you'll acquire the skills to get the insight you need from your data and take better decisions.
Course info
Level
Advanced
Updated
Jun 27, 2019
Duration
2h 24m
Table of contents
Course Overview
Understanding the Goals and Benefits of Exploratory Data Analysis (EDA)
Determining When and Why to Use Univariate Analysis
Determining When and Why Multivariate Analysis
Feature Engineering and Feature Selection
Presenting Your EDA to Others
Practicing Data Analysis with Python
Description
Course info
Level
Advanced
Updated
Jun 27, 2019
Duration
2h 24m
Description

Exploratory Data Analysis (EDA) is a set of techniques that helps you to understand data, and every Data Analyst and Data Scientist should know it in depth. In this course, Exploratory Data Analysis with Python, you'll learn how to create and implement an EDA pipeline. You'll explore the available techniques, and learn why, when, and how to apply them. Finally, you'll discover how to communicate your findings to your audience. When you’re finished with this course, you will have the skills and knowledge to face any complex EDA problem.

About the author
About the author

Hi, I am Guillermo, an Industrial Engineer with over 9 years of experience in technological fields. I believe in making complex things easy and understandable by building on top of simple ideas. Anyone can learn anything. If algorithms can learn from scratch, imagine what a human being like you can do!