Data Visualization with Python Plotly Dash

Data Visualization with Python – Plotly & Dash, available at $64.99, has an average rating of 4.45, with 38 lectures, based on 32 reviews, and has 186 subscribers.

You will learn about 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 This course is ideal for individuals who are Any Python developers who need to become proficient with a Data Visualization tool (Plotly and Dash) or Casual traders who own stocks and would like to gain additional insights about their performance or Analysts looking to evolve their dashboards from Excel to Python or Beginner Python users wanting to learn the basics of Data Visualization with Plotly It is particularly useful for Any Python developers who need to become proficient with a Data Visualization tool (Plotly and Dash) or Casual traders who own stocks and would like to gain additional insights about their performance or Analysts looking to evolve their dashboards from Excel to Python or Beginner Python users wanting to learn the basics of Data Visualization with Plotly.

Enroll now: Data Visualization with Python – Plotly & Dash

Summary

Title: Data Visualization with Python – Plotly & Dash

Price: $64.99

Average Rating: 4.45

Number of Lectures: 38

Number of Published Lectures: 38

Number of Curriculum Items: 38

Number of Published Curriculum Objects: 38

Original Price: $74.99

Quality Status: approved

Status: Live

What You Will 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 Should Attend

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

Target Audiences

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

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 documentationto find what you need

Dash

Create your first Dashapp

Organize the dashboard elements inside the app

Use Bootstrapthemes to customize the app style

Create a Sidebarwith 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

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Course Overview

Chapter 2: Data Preparation

Lecture 1: Taking Care of the Transactions

Lecture 2: Scraping Market Information

Lecture 3: Scraping Historical Prices

Chapter 3: Plotly Crash Course

Lecture 1: Introduction to Plotly and Data Packages

Lecture 2: Plotly Express and Scatter Plots

Lecture 3: Line Plots

Lecture 4: Bar Charts and Multiple Facets

Lecture 5: Graph Objects and go.Figure()

Lecture 6: Adding Some Style to our Charts

Lecture 7: Advanced Figure Customization

Chapter 4: First Set of Charts

Lecture 1: Getting Our Portfolio Value

Lecture 2: Creating the Portfolio Value Chart

Lecture 3: Adding a New Trace for Net Invested

Lecture 4: Drawdown Chart and Visualizing Monthly Buy and Sell Volume

Lecture 5: Creating Candlestick Charts With Plotly

Chapter 5: Advanced Visualizations

Lecture 1: Getting Data for the Tables

Lecture 2: Quick Dash Sneak Peek with Data Tables

Lecture 3: Using Plotly Indicators for KPIs

Lecture 4: What is a Sunburst Chart?

Lecture 5: Continuous Color Scale Sunburst Example

Chapter 6: Introduction to Dash

Lecture 1: Introduction and Loading JupyterDash

Lecture 2: Defining the Page Layout and Adding Elements

Lecture 3: Adding Columns and Customizing the Layout

Lecture 4: Adapting Examples from the Documentation

Lecture 5: Interactivity with Callbacks and Dropdowns

Lecture 6: Coding the Callback with Inputs and Outputs

Lecture 7: Updating Sizes and Debugging Dash Errors

Chapter 7: Dash Layout and Advanced Customization

Lecture 1: Dash Bootstrap Themes and Local Assets Folder

Lecture 2: Changing Themes and Using Class Names to Customize Elements

Lecture 3: Creating Sidebars and Multi Page Apps

Lecture 4: Navigating Pages with NavLinks and Callbacks

Chapter 8: Building Our Own Dashboard

Lecture 1: Setting Up the Sidebar and Homepage

Lecture 2: Adding the Ticker View, Sunburst and Table Pages

Lecture 3: Callback Function Explained and Advanced Callbacks

Lecture 4: Detailing Callback Inputs and Outputs

Chapter 9: Thank you!

Lecture 1: Thank You and Final Words

Instructors

Fabio Neves
Analytics Consultant

Rating Distribution

1 stars: 1 votes

2 stars: 1 votes

3 stars: 1 votes

4 stars: 8 votes

5 stars: 21 votes

Frequently Asked Questions

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