Data Visualization with Python - Plotly & Dash

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Fabio Neves

4:07:56

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1. Introduction

1. Introduction.mp4

04:01

2.1 Dashboard Course Zip.zip

2. Course Overview.mp4

03:28

2. Data Preparation

1. Taking Care of the Transactions.mp4

10:10

2. Scraping Market Information.mp4

08:41

3. Scraping Historical Prices.mp4

09:41

3. Plotly Crash Course

1. Introduction to Plotly and Data Packages.mp4

03:38

2. Plotly Express and Scatter Plots.mp4

10:48

3. Line Plots.mp4

07:42

4. Bar Charts and Multiple Facets.mp4

04:32

5. Graph Objects and go.Figure().mp4

07:12

6. Adding Some Style to our Charts.mp4

05:47

7. Advanced Figure Customization.mp4

09:37

4. First Set of Charts

1. Getting Our Portfolio Value.mp4

05:20

2. Creating the Portfolio Value Chart.mp4

02:35

3. Adding a New Trace for Net Invested.mp4

07:23

4. Drawdown Chart and Visualizing Monthly Buy and Sell Volume.mp4

04:59

5. Creating Candlestick Charts With Plotly.mp4

05:24

5. Advanced Visualizations

1. Getting Data for the Tables.mp4

04:13

2. Quick Dash Sneak Peek with Data Tables.mp4

05:05

3. Using Plotly Indicators for KPIs.mp4

06:34

4. What is a Sunburst Chart.mp4

04:13

5. Continuous Color Scale Sunburst Example.mp4

08:17

6. Introduction to Dash

1. Introduction and Loading JupyterDash.mp4

08:34

2. Defining the Page Layout and Adding Elements.mp4

08:16

3. Adding Columns and Customizing the Layout.mp4

04:59

4. Adapting Examples from the Documentation.mp4

08:13

5. Interactivity with Callbacks and Dropdowns.mp4

07:37

6. Coding the Callback with Inputs and Outputs.mp4

03:46

7. Updating Sizes and Debugging Dash Errors.mp4

09:38

7. Dash Layout and Advanced Customization

1. Dash Bootstrap Themes and Local Assets Folder.mp4

06:19

2. Changing Themes and Using Class Names to Customize Elements.mp4

09:05

3. Creating Sidebars and Multi Page Apps.mp4

06:11

4. Navigating Pages with NavLinks and Callbacks.mp4

07:58

8. Building Our Own Dashboard

1. Setting Up the Sidebar and Homepage.mp4

08:46

2. Adding the Ticker View, Sunburst and Table Pages.mp4

06:13

3. Callback Function Explained and Advanced Callbacks.mp4

06:40

4. Detailing Callback Inputs and Outputs.mp4

02:57

9. Thank you!

1. Thank You and Final Words.mp4

03:24

Description

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

Who is this 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

What You Need to Know?

We will use Python in the course, but no previous programming experience is required.

You will learn everything you need during the course, and I provide all the code as well.

More details

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, ETFâ€™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

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I am an experienced Analyst with a taste for Python, Investing, and Web Scraping. I've been writing technical articles for a few years and decided it was time to put together some video courses to share some of the projects I created.If you want to start learning Python and use it to code actual practical projects, make sure to check out my courses!

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