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Course Outline
Introduction
Data Science in Depth
- What are Plotly and Dash?
- Overview of Pandas
- Overview of Numpy
Plotly Basics
- Plots
- Heatmaps
Preparing the Development Environment
- Installing and configuring Plotly
- Installing and configuring Dash
Dash Core Components
- Utilizing dropdown and slider components
- Uploading CSV, XLS, and image files
- Working with Dash layouts
- Converting Plotly plots into dashboards
- Using callbacks
- Handling inputs and outputs
Dash Dashboards
- Retrieving API data
- Building a Binance dashboard
- Connecting Dash components
- Using Alpha Vantage
- Data cleaning
- Managing callbacks
- Updating graphs
- Working with layout updates
Deployment
- Handling app authorization
- Deploying via Heroku
Summary and Conclusion
Requirements
Prerequisites
- Experience with Python
Audience
- Data Analysts
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.
