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Course Outline
Introduction
Data Science in Depth
- What are Plotly and Dash?
- Pandas overview
- Numpy overview
Fundamentals of Plotly
- Creating plots
- Generating 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
- Navigating Dash layouts
- Transforming Plotly plots into dashboards
- Implementing callbacks
- Managing inputs and outputs
Dash Dashboards
- Fetching data via API
- Constructing a Binance dashboard
- Linking Dash components
- Using Alpha Vantage
- Data cleaning techniques
- Managing callbacks
- Updating graphs
- Handling layout updates
Deployment
- Configuring app authorization
- Deploying applications on Heroku
Summary and Conclusion
Requirements
Prerequisites
- Experience with 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.
