Data Visualization with Python - Plotly & Dash
Dash is a framework for building data apps in Python. Dash Enterprise simplifies the development and deployment process in a secure, scalable environment.
What you'll learn
- Create professional dashboards and visualizations from scratch with Plotly and Dash
- Add interactivity to your dashboards and explore the data inside the browser
- Customize any dashboard with Bootstrap, and redesign the components to fit your needs
- Learn how to scrape financial information and transform it to gain additional insights about your portfolio
- Create your own dashboard templates and reuse them in other projects
Welcome To Course : Data Visualization with Python - Plotly & Dash
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 dataframes 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, ETF’s, etc), including 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 own 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 own 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, plotly express, plotly graph objects, dropdowns, custom labels, html components, plotly indicators, candlestick graphs, scatter plots, bar charts...