Tableau, Networks & Time Series Data Visualization

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Tableau, Networks & Time Series Data Visualization

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

Instructor: P.J. Grosse

Included with

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4 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

4 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 compelling data visualizations using Tableau, including interactive dashboards.
Implement network visualizations with Python libraries such as NetworkX.
Develop time series visualizations using Python libraries to analyze and interpret data trends.
Utilize advanced visualization techniques for network graphs and time series data.

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

8 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 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.

What's included

9 videos3 readings2 assignments1 discussion prompt4 ungraded labs

9 videos Total 49 minutes

Welcome to Tableau, Networks & Time Series Data Visualization 3 minutes
Data Visualization with Tableau 2 minutes
Introduction to Tableau 10 minutes
Creating Visualizations in Tableau 8 minutes
Lesson 3 demo 5 minutes
Analytics and Analysis in Tableau 4 minutes
Module 6 -Lesson 4-Demo 4 minutes
Dashboards 7 minutes
Lesson 5 demo 6 minutes

3 readings Total 30 minutes

Useful Tableau Terms 10 minutes
Chart Types in Tableau 10 minutes
Module 6 Sources 10 minutes

2 assignments Total 45 minutes

Let's Practice: Data Visualization with Tableau 15 minutes
Module 6 Knowledge Check 30 minutes

1 discussion prompt Total 30 minutes

Tableau Practice Labs Discussion 30 minutes

4 ungraded labs Total 200 minutes

Get Started with Tableau 20 minutes
Creating Basic Charts in Tableau 60 minutes
Conducting Analytics on Visualizations 60 minutes
Creating a Dashboard in Tableau 60 minutes

This module introduces basic theories and definition of networks and network elements and different network/graph visualization methods.

What's included

4 videos5 readings2 assignments1 discussion prompt

4 videos Total 29 minutes

Networks 2 minutes
Introduction to Networks 12 minutes
Network Models 7 minutes
Graph Visualization Methods 8 minutes

5 readings Total 42 minutes

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

This module teaches creating and customizing network visualizations using Python libraries.

What's included

3 videos7 readings2 assignments1 ungraded lab

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

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.

What's included

5 videos8 readings2 assignments1 discussion prompt3 ungraded labs

5 videos Total 35 minutes

Time Series for Data Visualizations 2 minutes
Introduction to Time Series Data 10 minutes
Loading and Preparing Time Series Data in Python 13 minutes
Basic and Advanced Time Series Visualization with Python Libraries 6 minutes
Interpreting Time Series Visualizations 4 minutes

8 readings Total 125 minutes

Introduction and Basics 10 minutes
Forecasting: Principles and Practice 40 minutes
Log Transformation Resampling Lab Solution 10 minutes
Decomposition Lab Solution 10 minutes
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

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 1,379 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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