Course · Intermediate
Introduction to Data Visualization in Python
This course will help you learn the fundamentals of data visualization in Python so that you can present powerful insights and help to make data-driven decisions. It will build upon your knowledge of Python coding fundamentals and basic proficiency with pandas and NumPy. At the end of the course, you'll apply your new knowledge to complete a data visualization portfolio project.
- Intermediate friendly
- 7 hrs
- 5 lessons
- 1 project
- Premium
Course overview
Apply statistical reasoning to visualization by combining Python plotting tools with sound design choices to communicate patterns, trends, and insights clearly.
What's inside
5 lessons · 1 project
- 01 60 minLine Graphs and Time Series
Learn to visualize time series using line graphs.
- 02 59 minScatter Plots and Correlations
Learn to visualize correlations using scatter plots.
- 03 53 minBar Plots, Histograms, and Distributions
Learn how to visualize frequency distributions.
- 04 91 minPandas Visualizations and Grid Charts
Learn about pandas visualization methods and grid charts.
- 05 94 minGuided Project: Finding Heavy Traffic Indicators on I-94 Project
For this project, you'll assume the role of a data analyst exploring a dataset on westbound traffic on the I-94 Interstate highway. You'll apply exploratory data visualization techniques to determine indicators of heavy traffic.
- 06 39 minRelational Plots and Multiple Variables
Learn how to visually represent multiple variables.
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