About this Specialization
100% online courses

100% online courses

Start instantly and learn at your own schedule.
Flexible Schedule

Flexible Schedule

Set and maintain flexible deadlines.
Intermediate Level

Intermediate Level

Available languages

English

Subtitles: English...
100% online courses

100% online courses

Start instantly and learn at your own schedule.
Flexible Schedule

Flexible Schedule

Set and maintain flexible deadlines.
Intermediate Level

Intermediate Level

Available languages

English

Subtitles: English...

How the Specialization Works

Take Courses

A Coursera Specialization is a series of courses that helps you master a skill. To begin, enroll in the Specialization directly, or review its courses and choose the one you'd like to start with. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. It’s okay to complete just one course — you can pause your learning or end your subscription at any time. Visit your learner dashboard to track your course enrollments and your progress.

Hands-on Project

Every Specialization includes a hands-on project. You'll need to successfully finish the project(s) to complete the Specialization and earn your certificate. If the Specialization includes a separate course for the hands-on project, you'll need to finish each of the other courses before you can start it.

Earn a Certificate

When you finish every course and complete the hands-on project, you'll earn a Certificate that you can share with prospective employers and your professional network.

how it works

There are 4 Courses in this Specialization

Course1

Introduction to Data Exploration and Visualization

3.0
9 ratings
5 reviews
This course answers the questions, What is data visualization and What is the power of visualization? It also introduces core concepts such as dataset elements, data warehouses and exploratory querying, and combinations of visual variables for graphic usefulness, as well as the types of statistical graphs, —tools that are essential to exploratory data analysis....
Course2

Multivariate and Geographical Data Analysis

5.0
2 ratings
Covering the tools and techniques of both multivariate and geographical analysis, this course provides hands-on experience visualizing data that represents multiple variables. This course will use statistical techniques and software to develop and analyze geographical knowledge....
Course3

Temporal and Hierarchical Data Analysis

5.0
1 ratings
—Data repositories in which cases are related to subcases are identified as hierarchical. This course covers the representation schemes of hierarchies and algorithms that enable analysis of hierarchical data, as well as provides opportunities to apply several methods of analysis....
Course4

Additional Tools Used for Data Visualization

5.0
1 ratings
This course will expose learners to additional tools that can be used to perform Data Visualization. In particular, the courses focuses on Tableau, a state-of-the-art visualization package. In this course, the visualization concepts from previous courses are reinforced and the Tableau software is introduced through replication of the visualizations built in previous courses....

Instructors

Avatar

Ross Maciejewsk

Associate Professor at Arizona State University in the School of Computing, Informatics & Decision Systems Engineering and Director of the Center for Accelerating Operational Efficiency
School of Computing, Informatics & Decision Systems Engineering
Avatar

K. Selcuk Candan

Professor of Computer Science and Engineering
Director of ASU’s Center for Assured and Scalable Data Engineering (CASCADE)
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Huan Liu

Professor: Computer Science and Engineering
School of Computing, Informatics, and Decision Systems Engineering (CASCADE)
Graduation Cap

Start working towards your Master's degree

This specialization is part of the 100% online Master of Computer Science from Arizona State University. If you are admitted to the full program, your courses count towards your degree learning.

About Arizona State University

Arizona State University has developed a new model for the American Research University, creating an institution that is committed to excellence, access and impact. ASU measures itself by those it includes, not by those it excludes. ASU pursues research that contributes to the public good, and ASU assumes major responsibility for the economic, social and cultural vitality of the communities that surround it....

Frequently Asked Questions

  • Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.

  • This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

  • This Specialization doesn't carry university credit, but some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.

  • Time to completion can vary based on your schedule and experience level, most individual courses, in which this Specialization has 4, will take about a month to complete if you devote 2-5 hours per week.

  • Basic statistics and computer science knowledge including computer organization and architecture, discrete mathematics, data structures, and algorithms

    Knowledge of high-level programming languages (e.g., C++, Java) and scripting language (e.g., Python), Jupyter Notebooks

  • No, courses may be taken in any order.

  • Learners completing this specialization will be able to:

    Develop exploratory data analysis and visualization tools using Python and Jupyter notebooks

    Apply design principles for a variety of statistical graphics and visualizations including scatterplots, line charts, histograms, and choropleth maps

    Combine exploratory queries, graphics, and interaction to develop functional tools for exploratory data analysis and visualization

More questions? Visit the Learner Help Center.