When you enroll through our links, we may earn a small commission—at no extra cost to you. This helps keep our platform free and inspires us to add more value.
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.
This Course Includes
pluralsight
3 (44 reviews )
2 hour 23 minutes 
english
Online - Self Paced
core courses
pluralsight
About Exploratory Data Analysis with Python
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.
What You Will Learn?
- Course Overview : 1min.
- Understanding the Goals and Benefits of Exploratory Data Analysis (EDA) : 8mins.
- Determining When and Why to Use Univariate Analysis : 41mins.
- Determining When and Why Multivariate Analysis : 21mins.
- Feature Engineering and Feature Selection : 38mins.
- Presenting Your EDA to Others : 10mins.
- Practicing Data Analysis with Python : 22mins.