Book Image

Become a Python Data Analyst [Video]

By : Alvaro Fuentes
Book Image

Become a Python Data Analyst [Video]

By: Alvaro Fuentes

Overview of this book

The Python programming language has become a major player in the world of Data Science and Analytics. This course introduces Python’s most important tools and libraries for doing Data Science; they are known in the community as “Python’s Data Science Stack”. This is a practical course where the viewer will learn through real-world examples how to use the most popular tools for doing Data Science and Analytics with Python. All the resource files are added to the GitHub repository at:
Table of Contents (6 chapters)
Chapter 4
Visualization and Exploratory Data Analysis
Content Locked
Section 5
EDA with Seaborn and Pandas
Explain what Exploratory Data Analysis (EDA) is and how to perform it in a real-world dataset; in the process, introduce the Seaborn plotting library. - Explain the general purpose of EDA; introduce Seaborn and the dataset to be used - Explain the types of variables that can be found in data analysis - Present the variables that will be used in the EDA example