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Exploratory Data Analysis with Python

by Guillermo Fernandez

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.

What you'll learn

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.

Table of contents

Course Overview
Understanding the Goals and Benefits of Exploratory Data Analysis (EDA)

About the author

Hi, I am Guillermo, an Industrial Engineer with a Masters Degree in Artificial Intelligence and another in Home Building Automation with over 9 years of experience. I have worked in very diverse fields such as robotics, thermosolar technologies, electronics, firmware, and data science. I am passionate about learning about technology and sharing my knowledge with anyone who wants to listen and discuss.

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