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