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Noble Desktop

Python Data Visualization & Interactive Dashboards Online (Self-Paced)

via Noble Desktop

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Overview

Learn to create powerful data visualizations and interactive dashboards with Python in this self-paced online course. Master essential libraries like Matplotlib, Seaborn, and Plotly to transform raw data into compelling visual stories. Develop the skills to build interactive dashboards that allow users to explore data dynamically, making complex information accessible and actionable. Perfect for data analysts, scientists, and professionals looking to enhance their data presentation capabilities through hands-on practice with Python's visualization ecosystem.

Syllabus

Conducting Advanced Exploratory Analysis

  • NumPy array
  • Array containers
  • Indexing on an array
  • Broadcasting
  • Reshaping
  • Universal functions
  • Series
  • DataFrame
  • Slicing DataFrame
  • Filtering DataFrame
  • Understanding JSON
  • Working with APIs

Building Dashboards and Visualizing Data

  • Dash Callbacks
  • Client Callbacks
  • Pattern Callbacks
  • Dash core components
  • Date Picker
  • Date Range
  • More Dash Components
  • Graph
  • Dash HTML Components
  • Dash Styling

Presenting Information with Conviction and Persuasion

  • Dash Styling
  • Dash and Bootstrap
  • Creating your own Components
  • Deployment
  • Make a live presentation

Taught by

Garfield Stinvil and Dan Rodney

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