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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

  • Utilizing dropdown and slider components
  • Uploading CSV, XLS, and image files
  • Working with Dash layouts
  • Converting Plotly plots into dashboards
  • Implementing callbacks
  • Managing inputs and outputs

Dash Dashboards

  • Retrieving API data
  • Constructing a Binance dashboard
  • Connecting Dash components
  • Utilizing Alpha Vantage
  • Data cleaning
  • Controlling callbacks
  • Updating graphs
  • Managing layout updates

Deployment

  • Handling app authorization
  • Deploying via Heroku

Summary and Conclusion

Requirements

Prerequisites

  • Experience with Python

Target Audience

  • Data Analysts
 14 Hours

Testimonials (3)

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