Data Visualization with Python – Plotly & Dash

You will learn how to create awesome dashboards using Plotly and Dash. The result will be a multipage interactive dashboard to help you monitor a stock portfolio. The main goal is to give you the right tools to help you build any dashboard you need, or simply adapt existing ones! No coding experience is required.

This is an end-to-end project. This means I will guide you through all the steps and show you how you can adapt the code to your own needs.

Below you can find a high-level summary of what we will cover in over 4 hours of content:

Data Preparation and Scraping

• Get started with the course materials
• Read CSV files and transform them into data frames and dictionaries
• Use a set of custom functions to
  
  
  
  scrape stocks information
  
  
  
  from multiple sources and store it
• Use a
  
  
  
  special script to gain additional insights
  
  
  
  about your portfolio (works with Stocks, Crypto, ETFs, etc), including the average costs of your positions

Plotly

• Quickly start using
  
  
  
  Plotly Express
  
  
• Understand how
  
  
  
  Plotly Graph Objects
  
  
  
  can help you customize your graphs
• 
  
  Create any type of chart
  
  
  
  to tell your story, with your data
• Customize your graphs with
  
  
  
  very few lines of code
  
  
• Learn how to explore the
  
  
  
  documentation
  
  
  
  to find what you need

Dash

• Create your first
  
  
  
  Dash
  
  
  
  app
• Organize the dashboard elements inside the app
• Use
  
  
  
  Bootstrap
  
  
  
  themes to customize the app style
• Create a
  
  
  
  Sidebar
  
  
  
  with navigation buttons
• Create a dashboard with
  
  
  
  multiple pages
  
  
• Explore Dash documentation and pick examples to
  
  
  
  adapt to your projects
  
  

You will be able to

• Create a
  
  
  
  professional dashboard from scratch
  
  
  
  with just a few basic inputs
• Keep track of your
  
  
  
  portfolio performance
  
  
  
  , if you own one!
• Retire your old Excel dashboards and explore
  
  
  
  new possibilities with Plotly and Dash
  
  

And much more: background colors, dark themes, multiple callbacks, multiple outputs, graph height and width, rows and columns, dash layout, bootstrap components, politely express, plotly graph objects, dropdowns, custom labels, HTML components, plotly indicators, candlestick graphs, scatter plots, bar charts…