Lesson 1
Data Visualization in Data Analysis
In this lesson, see the motivations for why data visualization is an important part of the data analysis process and where it fits in.
Data Visualization with Matplotlib and Seaborn
Course
Learn to apply sound design and data visualization principles to the data analysis process. Learn how to use analysis and visualizations to tell a story with data.
Learn to apply sound design and data visualization principles to the data analysis process. Learn how to use analysis and visualizations to tell a story with data.
Intermediate
4 weeks
Real-world Projects
Completion Certificate
Last Updated January 31, 2024
Latent variables • Data visualization design • Data fluency • Exploratory data analysis
Data analysis process • Basic SQL • Inferential statistics
Course Lessons
Lesson 2
Design of Visualizations
Learn about elements of visualization design, especially to avoid those elements that can cause a visualization to fail.
Lesson 3
Univariate Exploration of Data
In this lesson, you will see how you can use matplotlib and seaborn to produce informative visualizations of single variables.
Lesson 4
Bivariate Exploration of Data
In this lesson, build up from your understanding of individual variables and learn how to use matplotlib and seaborn to look at relationships between two variables.
Lesson 5
Multivariate Exploration of Data
In this lesson, see how you can use matplotlib and seaborn to visualize relationships and interactions between three or more variables.
Lesson 6
Explanatory Visualizations
Previous lessons covered how you could use visualizations to learn about your data. In this lesson, see how to polish up those plots to convey your findings to others!
Lesson 7 • Project
Communicate Data Findings
Choose a dataset, either your own or a Udacity-curated dataset, and perform an exploratory data analysis using Python. Then, create a presentation with explanatory plots that conveys your findings.
Taught By The Best
Josh Magee
Senior Data Scientist
Josh is a Senior Data Scientist at Local Logic, where he models commercial real estate trends, acquisitions, and sustainable cities. He was formerly Assistant Professor of Data Analytics at Stonehill College, and was a postdoctoral researcher in nuclear physics at Lawrence Livermore National Laboratory.
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