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Duration 14 hours
Course Outline
Introduction
Advanced Data Science Concepts
- Definition of Plotly and Dash
- Overview of Pandas
- Overview of Numpy
Foundational Plotly Concepts
- Standard Plotting Techniques
- Heatmap Generation
Establishing the Development Environment
- Installation and configuration of Plotly
- Installation and configuration of Dash
Core Dash Components
- Implementation of dropdown and slider elements
- Ingestion of CSV, XLS, and image files
- Structuring Dash layouts
- Conversion of Plotly visualizations into dashboards
- Utilization of callback functions
- Management of input and output parameters
Dash Dashboard Construction
- Integration of API data sources
- Development of a Binance dashboard
- Interconnection of Dash components
- Application of Alpha Vantage
- Data cleansing procedures
- Regulation of callback execution
- Dynamic graph updates
- Layout modification strategies
Deployment Procedures
- Implementation of application authorization
- Deployment via Heroku
Summary and Conclusion
Requirements
Prerequisites
- Proficiency in Python
Audience
- Data Analysts
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.