Introduction to Data Visualization with Python

By YK Sugi
Data visualization is often the first step in any type of data analysis. This course will teach you several essential data visualization techniques, when to use them, and how to implement them with Python and Matplotlib.
Course info
Rating
(139)
Level
Intermediate
Updated
Jul 27, 2017
Duration
1h 28m
Table of contents
Description
Course info
Rating
(139)
Level
Intermediate
Updated
Jul 27, 2017
Duration
1h 28m
Description

At the core of data science and data analytics is a thorough knowledge of data visualization. In this course, Introduction to Data Visualization with Python, you'll learn how to use several essential data visualization techniques to answer real-world questions. First, you'll explore techniques including scatter plots. Next, you'll discover line charts and time series. Finally, you'll learn what to do when your data is too big. When you're finished with this course, you'll have a foundational knowledge of data visualization that will help you as you move forward to analyze your own data.

About the author
About the author

YK Sugi is the creator of CS Dojo, a popular programming education YouTube channel. He is also active on Twitter and Instagram @ykdojo.

Section Introduction Transcripts
Section Introduction Transcripts

Course Overview
My name is YK, and welcome to Introduction to Data Visualization with Python. I am a software developer and a data scientist with experience at various software companies, including Google and Microsoft. Data visualization is often the first essential step in many types of data analysis projects, including scatter score analysis, machine-learning analysis, and exploratory analysis. In this course, we're going to learn several essential data visualization tools, what they are, when you should use them, and how to implement them in Python. Some of the topics we'll cover in this course include, line charts and time series, scatter plots, and what you should do when your data is too big. Before taking this course, you should be familiar with at least one C-like programming language, whether it's C++, Java, JavaScript, or Python. Extensive knowledge in Python is not required, and any prior knowledge in data visualization or statistics is not required either. So let's now get started with Introduction to Data Visualization with Python on Pluralsight.