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.
Overview
Syllabus
- 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.
- Design of Visualizations
- Learn about elements of visualization design, especially to avoid those elements that can cause a visualization to fail.
- Univariate Exploration of Data
- In this lesson, you will see how you can use matplotlib and seaborn to produce informative visualizations of single variables.
- 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.
- 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.
- 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!
- 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
Josh Magee
