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Course Outline
Introduction
Advanced Data Science Principles
- An overview of Plotly and Dash frameworks
- Pandas library fundamentals
- Numpy numerical computing basics
Plotly Fundamentals
- Interactive plotting techniques
- Heatmap visualization
Development Environment Setup
- Installation and configuration of Plotly
- Installation and configuration of Dash
Dash Core Components
- Implementation of dropdown and slider inputs
- Data ingestion for CSV, XLS, and image formats
- Management of Dash application layouts
- Transformation of Plotly figures into interactive dashboards
- Application of callback functions
- Configuration of input and output dependencies
Dash Dashboard Development
- Data retrieval via API integration
- Construction of Binance market dashboards
- Interconnection of Dash interface elements
- Integration with Alpha Vantage data services
- Data preprocessing and cleaning procedures
- Management of callback logic
- Dynamic graph updates
- Execution of layout modifications
Application Deployment
- Implementation of application authorization protocols
- Deployment to the Heroku platform for government
Summary and Conclusion
Requirements
Prerequisites
- Proficiency in Python scripting
Audience
- Data Analysts working within the federal sector for government operations
14 Hours
Testimonials (3)
Content and example. virtual computer is helpful (my version of anaconda does not have Dash library yet)
Jennifer Ni - AllianceBernstein
Course - Python with Plotly and Dash
I did like that there was a prominent hands on component. Kritika was very personable, knowledgeable, and helpful.
Noah Zarr - AllianceBernstein
Course - Python with Plotly and Dash
Instructor is an expert in her subject matter. Teaching over zoom can be difficult since it's hard to gauge your audience but the instructor did great.