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Duration 14 hours
Course Outline
Introduction
Deep Dive into Data Science
- Understanding Plotly and Dash
- Overview of Pandas
- Overview of Numpy
Fundamentals of Plotly
- Creating Plots
- Generating Heatmaps
Setting Up the Development Environment
- Installation and configuration of Plotly
- Installation and configuration of Dash
Core Dash Components
- Utilizing dropdown and slider components
- Handling uploads of CSV, XLS files, and images
- Managing Dash layouts
- Transforming Plotly plots into dashboards
- Implementing callbacks
- Processing inputs and outputs
Constructing Dash Dashboards
- Retrieving data from APIs
- Creating a Binance dashboard
- Integrating Dash components
- Utilizing Alpha Vantage
- Data cleaning techniques
- Managing callbacks
- Dynamically updating graphs
- Handling layout updates
Deployment Strategies
- Managing application authorization
- Deployment using Heroku
Summary and Concluding Remarks
Requirements
Prerequisites
- Proficiency in Python
Target Audience
- Data Analysts
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.
