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Duration 14 hours
Course Outline
Introduction
In-Depth Data Science
- Understanding Plotly and Dash
- Overview of Pandas
- Overview of Numpy
Foundations of Plotly
- 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
- Handling CSV, XLS, and image uploads
- Managing Dash layouts
- Transforming Plotly plots into dashboards
- Implementing callbacks
- Managing inputs and outputs
Dash Dashboards
- Fetching data via APIs
- Creating a Binance dashboard
- Integrating Dash components
- Leveraging Alpha Vantage
- Data cleaning techniques
- Managing callbacks
- Refreshing graphs
- Handling layout updates
Deployment
- Managing application authorization
- Deployment strategies using 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.
