Udemy – Python Data Visualization: Dashboards with Plotly & Dash 2023-9

Python Data Visualization: Dashboards with Plotly & Dash This is a hands-on, project-based course designed to help you master Plotly and Dash, two of Python’s most popular packages for creating interactive visuals, dashboards and web applications. We’ll start by introducing the core components of a Dash application, review basic front-end and back-end elements, and demonstrate how to tie everything together to create a simple, interactive web app. From there we’ll explore a variety of Plotly visuals including line charts, scatterplots, histograms and maps. We’ll apply basic formatting options like layouts and axis labels, add context to our visuals using annotations and reference lines, then bring our data to life with interactive elements like dropdown menus, checklists, sliders, date pickers, and more.

Last but not least we’ll use Dash to build and customize a web-based dashboard, using tools like markdown, HTML components & styles, themes, grids, tabs, and more. We’ll also introduce some advanced topics like data tables, conditional and chained callbacks, cross-filters, and app deployment options. Throughout the course you’ll play the role of a Data Analyst for Maveluxe Travel, a high-end agency that helps customers find flights and resorts based on their travel preferences. Your task? Use Python to create interactive visuals and dashboards to help Maveluxe’s travel agents best support their customers.

What you’ll learn

• Master the essentials of Plotly & Dash for building interactive visuals, dashboards and web apps
• Design and format Plotly visuals, including line charts, bar charts, scatter plots, histograms, maps and more
• Learn how to add interactive elements like dropdown menus, checklists, sliders and date pickers
• Apply HTML and markdown components to design custom dashboard layouts and themes
• Practice building and deploying your own custom web applications with Dash
• Explore advanced topics like conditional and chained callbacks, cross-filtering and real-time automation

Who this course is for

• Analysts or Data Scientists who want to build interactive visuals, dashboards or web apps
• Aspiring data scientists who want to build or strengthen their Python data visualization skills
• Anyone interested in learning one of the most popular open source programming languages in the world
• Students looking to learn powerful, practical skills with unique, hands-on projects and course demos

Specificatoin of Python Data Visualization: Dashboards with Plotly & Dash

• Publisher: Udemy
• Teacher: Maven Analytics , Chris Bruehl
• Language: English
• Level: All Levels
• Number of Course: 113
• Duration: 8 hours and 33 minutes

Content

Requirements

• We’ll use Anaconda & Jupyter Notebooks (a free, user-friendly coding environment)
• Familiarity with base Python and the Pandas library are strongly recommended, but not a strict prerequisite

Pictures

Sample Clip

Installation Guide

Extract the files and watch with your favorite player

Subtitle: English

Quality: 1080p

Changes:

Version 2023/9 has decreased by 2 minutes compared to 2023/2. Also, the course quality has been increased from 720p to 1080p. English subtitles have also been added to the course.

Download Links

Download Part 1 – 1 GB

Download Part 2 – 1 GB

Download Part 3 – 1 GB

Download Part 4 – 90 MB

File size

3.09 GB