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 Duration 14 hours

Course Outline

Introduction

Advanced Data Science Concepts

  • Definition of Plotly and Dash
  • Overview of Pandas
  • Overview of Numpy

Foundational Plotly Concepts

  • Standard Plotting Techniques
  • Heatmap Generation

Establishing the Development Environment

  • Installation and configuration of Plotly
  • Installation and configuration of Dash

Core Dash Components

  • Implementation of dropdown and slider elements
  • Ingestion of CSV, XLS, and image files
  • Structuring Dash layouts
  • Conversion of Plotly visualizations into dashboards
  • Utilization of callback functions
  • Management of input and output parameters

Dash Dashboard Construction

  • Integration of API data sources
  • Development of a Binance dashboard
  • Interconnection of Dash components
  • Application of Alpha Vantage
  • Data cleansing procedures
  • Regulation of callback execution
  • Dynamic graph updates
  • Layout modification strategies

Deployment Procedures

  • Implementation of application authorization
  • Deployment via Heroku

Summary and Conclusion

Requirements

Prerequisites

  • Proficiency in Python

Audience

  • Data Analysts

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