Data Visualization with Python - Plotly & Dash

Learn everything you need to start creating awesome dashboards for your data!

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

Description
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 stocks 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 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…

Who this course is for:
Any Python developers who need to become proficient with a Data Visualization tool (Plotly and Dash)
Casual traders who own stocks and would like to gain additional insights about their performance
Analysts looking to evolve their dashboards from Excel to Python
Beginner Python users wanting to learn the basics of Data Visualization with Plotly

More Info