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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 drowdown 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
- Python experience
Audience
- Data Analysts
14 Hours
Testimonials (4)
The training was well adapted to my needs, with an exercise on the second day involving the creation of a dashboard for which I was able to propose and submit the data and mockup myself.
Agathe - Audap
Course - Python with Plotly and Dash
Machine Translated
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.
