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Duration 14 hours
Course Outline
Introduction
In-Depth Data Science
- Understanding Plotly and Dash
- Pandas overview
- NumPy overview
Plotly Fundamentals
- Creating Plots
- Generating Heatmaps
Setting Up the Development Environment
- Installation and configuration of Plotly
- Installation and configuration of Dash
Dash Core Components
- Utilizing dropdown and slider components
- Uploading CSV, XLS, and image files
- Managing Dash layouts
- Transforming Plotly plots into dashboards
- Implementing callbacks
- Handling inputs and outputs
Building Dash Dashboards
- Retrieving data from APIs
- Constructing a Binance dashboard
- Linking Dash components
- Integrating Alpha Vantage
- Data cleaning processes
- Managing callbacks
- Dynamic graph updates
- Handling layout updates
Deployment Strategies
- Managing app authorization
- Deploying applications via Heroku
Summary and Conclusion
Requirements
Prerequisites
- Familiarity with Python
Target 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.
