Book Image

Exploratory Data Analysis with Pandas and Python 3.x [Video]

By : Mohammed Kashif
Book Image

Exploratory Data Analysis with Pandas and Python 3.x [Video]

By: Mohammed Kashif

Overview of this book

How do you take your data analysis skills beyond Excel to the next level? By learning just enough Python to get stuff done. This hands-on course shows non-programmers how to process information that’s initially too messy or difficult to access. Through various step-by-step exercises, you’ll learn how to acquire, clean, analyze, and present data efficiently. This course will take you from Python basics to explore many different types of data. Throughout the course, you will be working with real-world datasets to retrieve insights from data. You'll be exposed to different kinds of data structure and data-related problems. You'll learn how to prepare data for analysis, perform simple statistical analyses, create meaningful data visualizations, predict future trends from data, and more! All the code files and related files are placed on the GitHub at this link https://github.com/PacktPublishing/Exploratory-Data-Analysis-with-Pandas-and-Python-3.x
Table of Contents (7 chapters)
Chapter 5
Bivariate Analysis
Content Locked
Section 2
Correlation Coefficient
Before moving on to doing practical bivariate analysis, we must understand the theoretical concept behind correlation coefficients. - Explore the concept of correlation coefficient - Understand the different types of correlation coefficient - Understand what correlation coefficient signifies for our data