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 3
Dealing with Outliers
Content Locked
Section 2
Using Z-scores to Find Outliers
Z-scores are one of the commonly used methods to identify outliers. In this video, we understand the idea behind Z-score and how they can be used to identify outliers. - Discuss what are Z-scores and what do they signify - Visualize Z-scores over a normal distribution for more clarity - Implement Z-scores to find outliers in a dummy dataset