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Course Outline
Introduction
Data Science in Depth
- What is Plotly? What is Dash?
- Pandas overview
- Numpy overview
Plotly Basics
- Plots
- Heatmaps
Preparing the Development Environment
- Installing and configuring Plotly
- Installing and configuring Dash
Dash Core Components
- Using dropdown and slider components
- Uploading CSV, XLS, and images
- Working with Dash layouts
- Converting Plotly plots to dashboards
- Using callbacks
- Working with inputs and outputs
Dash Dashboards
- Pulling API data
- Building a Binance dashboard
- Connecting Dash components
- Using Alpha Vantage
- Cleaning data
- Controlling callbacks
- Updating graphs
- Working with layout updating
Deployment
- Working with app authorization
- Deploying with Heroku
Summary and Conclusion
Requirements
Prerequisites
- Prior 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.
