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.
Author Name: YK Sugi
Author Description:
YK Sugi the creator of CS Dojo, a popular programming education YouTube channel. He is also a software developer and data scientist with experience at various software companies, including Google and Microsoft. He has worked on software products of various sizes, ranging from hundreds of users up to hundreds of millions of users. He is also active on Twitter and Instagram @ykdojo.

Table of Contents

• Course Overview
  1min
• Course Introduction
  3mins
• Introduction to Jupyter, Pandas, and Matplotlib
  14mins
• Finding Distribution of Data with Histograms
  12mins
• Creating Time Series with Line Charts
  11mins
• Examining Relationships in Data with Scatter Plots
  15mins
• Comparing Data with Bar Graphs
  9mins
• What to Do When Your Data Is Too Big
  11mins
• Solving Real-world Problems with Visualization
  7mins