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There are 4 modules in this course
Unlock the power of data with "Tableau, Networks & Time Series Data Visualization" . This comprehensive program is designed to teach you the essentials of data storytelling through visualizations using Python and Tableau. Starting with the basics of Tableau, you'll learn to create and customize various visualizations, build interactive dashboards, and conduct detailed analytics.
Dive into network visualization to understand and depict complex networks and connected data. Using Python libraries, you will create and customize network visualizations that highlight relationships and structures within data.
Explore time series data visualization to interpret and present data over time. You’ll master techniques for loading, preparing, and visualizing time series data using Python, enhancing your ability to forecast and analyze trends effectively.
By the end of this course, you will have the skills needed to create compelling, insightful, and interactive data visualizations, making complex data more understandable and actionable.
This module introduces basic functions and interface of Tableau for data analysis and data visualization.
Why You Should Visualize Your Connected Data•2 minutes
Network Visualization•10 minutes
Visualizing Social Networks•10 minutes
Visualization Tutorials [OPTIONAL]•10 minutes
Module 7 Sources•10 minutes
2 assignments•Total 45 minutes
Let's Practice: Network Visualization: Theories and Models•15 minutes
Module 7 Knowledge Check•30 minutes
1 discussion prompt•Total 10 minutes
Analyze Network Visualizations•10 minutes
Network Visualization with Python
Module 3•3 hours to complete
Module details
This module teaches creating and customizing network visualizations using Python libraries.
What's included
3 videos7 readings2 assignments1 ungraded lab
Show info about module content
3 videos•Total 19 minutes
NetworkX: Overview and Features•4 minutes
Creating a Simple Network Visualization•7 minutes
Advanced Visualization Techniques•8 minutes
7 readings•Total 75 minutes
Module 2 Recap•10 minutes
Introduction to Network X•15 minutes
Undirected Graph•10 minutes
Undirected Graph Solution•10 minutes
Exploring and Analyzing Network Data with Python•10 minutes
Conduct Degree Analysis Solution•10 minutes
Module 8 Sources•10 minutes
2 assignments•Total 45 minutes
Let's Practice: Network Visualization with Python•15 minutes
Module 8 Knowledge Check •30 minutes
1 ungraded lab•Total 60 minutes
Conduct Degree Analysis•60 minutes
Time Series Visualizations
Module 4•7 hours to complete
Module details
This module introduces basics of time series data, real world examples of time series data and how time series can be visualized using Python libraries.
Time Series Visualizations Lab Solution•10 minutes
What is a Time Series and How is It Used?•15 minutes
Time Series Analysis: What is It and How to Use It•20 minutes
Module 9 Sources•10 minutes
2 assignments•Total 45 minutes
Let's Practice: Time Series Visualizations•15 minutes
Module 9 Knowledge Check•30 minutes
1 discussion prompt•Total 30 minutes
Python Practice Labs Discussion•30 minutes
3 ungraded labs•Total 180 minutes
Log Transformation and Resampling of Time Series Data•60 minutes
Decomposition of Time Series Data•60 minutes
Module 9 Lab 3•60 minutes
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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.Âą
View eligible degrees
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.Âą
ÂąSuccessful application and enrollment are required. Eligibility requirements apply. Each institution determines the number of credits recognized by completing this content that may count towards degree requirements, considering any existing credits you may have. Click on a specific course for more information.
When will I have access to the lectures and assignments?
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.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.