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Course Outline
Introduction
Advanced Data Science Concepts
- 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
Core Components of Dash
- Utilizing dropdown and slider components
- Uploading CSV, XLS, and image files
- Managing Dash layouts
- Transforming Plotly charts into dashboards
- Implementing callbacks
- Managing inputs and outputs
Building Dash Dashboards
- Fetching data from APIs
- Creating a Binance dashboard
- Linking Dash components
- Integrating Alpha Vantage
- Data cleaning techniques
- Managing callback logic
- Dynamically updating graphs
- Handling layout updates
Deployment Strategies
- Implementing application authorization
- Deploying applications on Heroku
Summary and Wrap-up
Requirements
Prerequisites
- Proficiency in Python
Target 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.
