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Mastering Plotly and Dash Data Visualization with Python

Learn Plotly and Dash to build interactive visualizations and dashboards with Python. Explore customization, interactivity, and complex datasets to create dynamic, data-driven applications.

73 Lessons

4 Projects

18h

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LEARNING OBJECTIVES

Proficiency in dynamic data visualization using Plotly including customizations and advanced features
Comprehensive understanding of various analysis techniques (univariate, bivariate, multivariate) with Plotly
Hands-on experience with creating interactive dashboards using Dash including web application development
The ability to transform complex data into insightful and interactive narratives using Plotly and Dash for data-driven insights

Learning Roadmap

73 Lessons2 Projects8 Quizzes

Introduction and Univariate Analysis

Get familiar with using Plotly and Dash for univariate data analysis and visualization.

Introduction to the Course

The Plotly Layout (from Express to Graph Objects)

Categorical Univariate Analysis

Exercise: Categorical Univariate Analysis

Numeric Univariate Analysis

Cumulative Univariate Analysis

Exercise: Cumulative Univariate Analysis

Quiz: Introduction and Univariate Analysis

Exploratory Data Analysis - Bivariate and Multivariate Analysis

Walk through bivariate and multivariate analysis using various visualization techniques with Plotly.

Continuous vs Categorical Bivariate Analysis: Boxplot & Histogram

Continuous vs. Categorical Bivariate Analysis: ECDF & Violin Plot

Exercise: Continuous vs. Categorical Bivariate Analysis

Continuous vs. Continuous Bivariate Analysis: Scatter and Bubble

Correlation Matrices

Two-Dimensional Histograms

Line and Multi-Line Charts

Quiz: Bivariate and Multivariate Analysis

Customizing Plots

8 Lessons

Work your way through customizing titles, axes, legends, colors, hover info, and annotations in Plotly.

Advanced Customization

5 Lessons

Grasp the fundamentals of advanced customizations in Plotly, focusing on subplots and layering.

Interactivity in Plotly

7 Lessons

Map out the steps for creating interactive Plotly charts with buttons, sliders, and dropdowns.

Time Series Analysis and Visualization Using Python and Plotly

Project

Visualizing Machine Learning Models with Plotly

7 Lessons

Focus on visualizing regression and classification models, dimensionality reduction with hands-on Plotly tasks.

Global Energy Consumption Visualization

Project

Introducing Dash

4 Lessons

Practice using Dash to build interactive web apps with components, styling, and callback functions.

Dash Layout

6 Lessons

Step through building responsive Dash applications with HTML, Graph, and Input components.

Dash Styling

3 Lessons

Look at the integration of CSS for styling, utilizing stylesheets, and ensuring consistency in Dash.

10.

Dash Callbacks

7 Lessons

Master the steps to create responsive Dash apps using callback functions and chained callbacks.

11.

User Interactivity in Dash

3 Lessons

Enhance your skills in creating dynamic and interactive Plotly graphs with Dash.

12.

Tabular data in Dash DataTable

6 Lessons

Enhance data interaction with customizable DataTables. Utilize sorting, filtering, styling, and pagination features effectively.

Global Energy Consumption Dashboard

Project

13.

Conclusion

Investigate the acquired skills for creating impressive visualizations and interactive applications.

Wrap Up

Build Data-centric Dashboards Using Dash

Project

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

Developed by MAANG Engineers

ABOUT THIS COURSE

Discover the compelling universe of Plotly and Dash, versatile Python libraries that enable interactive data visualization and web dashboard applications. These tools are essential for anyone seeking to effectively communicate data narratives and build interactive data visualizations. You'll explore Plotly’s robust data visualization capabilities. You’ll create plots for univariate, bivariate and multivariate analysis before customizing and adding interactivity, using real world datasets. Then, you’ll build upon and use these skills when learning Dash as you build and customize analytical dashboard apps. You’ll journey through Dash's structure, from understanding layouts and HTML components to mastering Dash styling using CSS. You’ll learn the significance of callback functions, enhancing user interactivity, and experience the power of Dash's DataTable component. By the end of this course, you'll be able to create engaging visualizations with Plotly and develop interactive web applications using Dash.

ABOUT THE AUTHOR

Alex Scriven

Alex is a Senior Data Scientist working for Atlassian in Sydney, Australia and has previous experience in government, agency and startup. He also holds lecturing and research positions at Universities in Sydney.

Learn more about Alex

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