Interactive, Geospatial & Narrative Data Visualization

Interactive, Geospatial & Narrative Data Visualization

This course is part of Data Visualization: Fundamentals to Interactive Storytelling Specialization

Instructor: P.J. Grosse

Included with

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5 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Some related experience required

2 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

Build toward a degree

Learn more

5 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Some related experience required

2 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

Build toward a degree

Learn more

What you'll learn

Create interactive visualizations using Python libraries like Matplotlib and Seaborn.
Develop stunning geospatial visualizations with tools such as Folium and Tableau.
Craft narrative visualizations to communicate insights effectively.
Implement advanced data visualization techniques for comprehensive analysis.

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

10 assignments

Taught in English

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Build your subject-matter expertise

This course is part of the Data Visualization: Fundamentals to Interactive Storytelling Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 5 modules in this course

Elevate your data storytelling skills with "Interactive, Geospatial & Narrative Data Visualization" . This comprehensive program covers the essentials of visualizing data through interactive dashboards, geospatial analysis, and narrative visualization using Python and Tableau. Learn to design and implement interactive visualizations that improve user engagement and make complex data more accessible. Explore geospatial data to create compelling maps and understand spatial relationships. Dive into narrative visualization to craft engaging data stories that convey insights effectively.

Master tools like Tableau and Python libraries (Matplotlib, Seaborn, Folium) to create various types of plots and advanced visualizations including maps with markers, choropleth maps, and network graphs. Engage in practical assignments and real-world projects that challenge you to develop, analyze, and optimize data visualizations. By the end of this course, you will have the expertise to build stunning visualizations, interpret complex datasets, and tell impactful data stories.

This module describes forms of interactions when working with data visualizations and the principles of how to most effectively support interaction with data visualization.

What's included

5 videos5 readings2 assignments3 discussion prompts

5 videos Total 23 minutes

Interactive, Geospatial & Narrative Data Visualization 3 minutes
Types of Interaction for Visualization 4 minutes
Principles of Designing Interaction Visualization 8 minutes
Tools for Interaction Visualization 5 minutes
Deriving Insights from Interaction Visualization 3 minutes

5 readings Total 50 minutes

Prior Courses Recap 10 minutes
The Guardian Discussion Response 10 minutes
Google's Activity Dashboard 10 minutes
Wikipedia Discussion Response 10 minutes
Module 10 Sources 10 minutes

2 assignments Total 45 minutes

Module 10 Knowledge Check 30 minutes
Let's Practice: Interaction Visualization 15 minutes

3 discussion prompts Total 90 minutes

Website Heatmap Discussion 30 minutes
The Guardian Discussion 30 minutes
Wikipedia Discussion 30 minutes

This module presents maps as a form of data visualization, describes what geospatial data is, and what different forms of map visualization are possible.

What's included

4 videos6 readings2 assignments3 discussion prompts

4 videos Total 21 minutes

Map Visualization 2 minutes
Maps as a Form of Visualization 8 minutes
Types of Map Visualization 5 minutes
Principles of Map Visualization 6 minutes

6 readings Total 85 minutes

Module 10 Recap 10 minutes
GeoJSON Tutorial for Beginners 10 minutes
Use of Population Weighted Density Index for Coronavirus Spread in the United States 30 minutes
Symbol Maps: Understanding and Using Symbol Maps 10 minutes
Make Maps People Want to Look at 15 minutes
Module 11 Sources 10 minutes

2 assignments Total 45 minutes

Module 11 Knowledge Check 30 minutes
Let's Practice: Maps: Basic Maps 15 minutes

3 discussion prompts Total 80 minutes

Geographic Data 20 minutes
Interpretation of Flow Map 30 minutes
Apply the Principles 30 minutes

This module teaches how to create map visualization in Python and Tableau.

What's included

3 videos5 readings2 assignments3 ungraded labs

3 videos Total 20 minutes

Creating Basic Map Visualization in Python 6 minutes
Create Map Visualizations in Tableau 7 minutes
Create Interactive Map Visualizations 7 minutes

5 readings Total 65 minutes

Module 11 Recap 10 minutes
What is Geospatial-Data? 15 minutes
GeoPandas Tutorial: An Introduction to Geospatial Analysis 20 minutes
10 Examples of Interactive Map Data Visualization 10 minutes
Module 12 Sources 10 minutes

2 assignments Total 45 minutes

Module 12 Knowledge Check 30 minutes
Let's Practice Maps: Color and Layout Design 15 minutes

3 ungraded labs Total 180 minutes

Module 12 Lab 1 60 minutes
Applying Principles of Map Visualization 60 minutes
Practice with Folium 60 minutes

This module introduces the transformation of text into visual representation, providing basics of how text is treated as data, and what techniques can be used to visualize text.

What's included

4 videos2 readings2 assignments1 discussion prompt

4 videos Total 25 minutes

Text visualization 2 minutes
Transforming text into visual representation 8 minutes
Key text visualization techniques 6 minutes
Visualization of evolving documents and conversations 9 minutes

2 readings Total 20 minutes

All you need to know about word cloud: A complete guide 10 minutes
Module 13 Sources 10 minutes

2 assignments Total 45 minutes

Module 13 Knowledge Check 30 minutes
Let's Practice: Text Visualization 15 minutes

1 discussion prompt Total 10 minutes

Word Clouds 10 minutes

This module teaches how to visual data storytelling and how to transform visualizations as forms of art, using guidelines from Tufte’s principles of visualization.

What's included

4 videos6 readings2 assignments

4 videos Total 21 minutes

Data stories 2 minutes
Visualization as a creative art 10 minutes
Data storytelling 6 minutes
Crafting and presenting a data story 3 minutes

6 readings Total 60 minutes

Data-ink ratio explained with example 10 minutes
What is data storytelling? 10 minutes
5 ways to create infographics 10 minutes
Create a Tableau data story 10 minutes
Add a Tableau data story to a dashboard 10 minutes
Module 14 Sources 10 minutes

2 assignments Total 45 minutes

Module 14 Knowledge Check 30 minutes
Let's Practice: Visualization as Creative Art Practice 15 minutes

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Build toward a degree

This course is part of the following degree program(s) offered by University of Pittsburgh. If you are admitted and enroll, your completed coursework may count toward your degree learning and your progress can transfer with you.¹

Instructor

P.J. Grosse

University of Pittsburgh

4 Courses 1,447 learners

Offered by

University of Pittsburgh

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To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

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