Learn to gather, manipulate, and analyze real-life data in this course, where you'll gain hands-on experience with Python's NumPy and Pandas libraries. Develop your data visualization skills using Matplotlib, Seaborn, Plotly, and Dash Enterprise, and complete real-life projects that can be deployed online.
Overview
Syllabus
Conducting Advanced Exploratory Analysis
- NumPy array
- Array containers
- Indexing on an array
- Broadcasting
- Reshaping
- Universal functions
- Series
- DataFrame
- Slicing DataFrame
- Filtering DataFrame
- Understanding JSON
- Working with APIs
Building Dashboards and Visualizing Data
- Dash Callbacks
- Client Callbacks
- Pattern Callbacks
- Dash core components
- Date Picker
- Date Range
- More Dash Components
- Graph
- Dash HTML Components
- Dash Styling
Presenting Information with Conviction and Persuasion
- Dash Styling
- Dash and Bootstrap
- Creating your own Components
- Deployment
- Make a live presentation
Taught by
Garfield Stinvil and Dan Rodney
