When you enroll through our links, we may earn a small commission—at no extra cost to you. This helps keep our platform free and inspires us to add more value.

Introduction to Data Visualization with Python
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.

This Course Includes
pluralsight
5 (268 reviews )
1 hour 28 minutes
english
Online - Self Paced
core courses
pluralsight
About Introduction to Data Visualization with Python
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.
What You Will Learn?
- 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.