Data Visualization Specialization

Starts Nov 16

Data Visualization Specialization

Launch Your Career in Data Visulization. Master strategies for creating effective visualizations to enhance understanding of complex data.

About This Specialization

Visual representations generated by statistical models help us to make sense of large, complex datasets through interactive exploration, thereby enabling big data to realize its potential for informing decisions. This specialization covers techniques and algorithms for creating effective visualizations based on principles from graphic design, visual art, perceptual psychology, and cognitive science to enhance the understanding of complex data.

Created by:

courses
4 courses

Follow the suggested order or choose your own.

projects
Projects

Designed to help you practice and apply the skills you learn.

certificates
Certificates

Highlight your new skills on your resume or LinkedIn.

Projects Overview

Courses
Intermediate Specialization.
Some related experience required.
  1. COURSE 1

    Introduction to Data Exploration and Visualization

    Commitment
    Approximately 2-5 hours per week.
    Subtitles
    English

    About the Course

    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
  2. COURSE 2

    Multivariate and Geographical Data Analysis

    Commitment
    2-5 hours per week
    Subtitles
    English

    About the Course

    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 dev
  3. COURSE 3

    Temporal and Hierarchical Data Analysis

    Commitment
    3-7 hours per week
    Subtitles
    English

    About the Course

    —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 oppor
  4. COURSE 4

    Additional Tools Used for Data Visualization

    Commitment
    2-5 hours per week
    Subtitles
    English

    About the Course

    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

Creators

  • Arizona State University

    The Ira A. Fulton Schools of Engineering at Arizona State University is one of the largest engineering programs in the United States, with more than 21,000 undergraduate students and more than 4,000 graduate students. We believe that engineering is more than a discipline — it’s a mindset, a way of looking at the world.

    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.

  • Ross Maciejewsk

    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
  • K. Selcuk Candan

    K. Selcuk Candan

    Professor of Computer Science and Engineering
  • Huan Liu

    Huan Liu

    Professor: Computer Science and Engineering

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