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Data Science: Analytics and Visualization

  • Explores Data and Decision-Making
  • Focuses on Statistical and Computational Methods
  • Builds Analytical Skill Sets

Data analytics and visualization are expanding fields that offer tremendous opportunity for career growth. These courses draw upon the social sciences, and the fields of computer science, statistics, and management to prepare students to derive insights from complex data sets. They explore the use of the latest tools and analytical methods to interpret and communicate findings in ways that change minds and behaviors.

Introduction to Data Visualization

Gain an overview of data visualization concepts and models, with a focus on trends in the fields of business, journalism, and graphic design.

2017 Summer
+ 1 more semester
2 sections

The Art of Data Visualization

The course offers immersion into the creative process, the discipline of sketching and revising, and the practical use of data visualization tools.

2017 Summer
+ 1 more semester
2 sections

Visual Analytics with Tableau

Master the art and science of communicating business-relevant implications of data analyses using Tableau, the industry’s leading software.

2017 Summer
+ 1 more semester
2 sections

Statistical Foundations of Data Visualization

This course covers the essentials of the statistical foundations of visualizing data.

2017 Summer
1 section

Data Mining, Predictive Analytics, and Big Data

Gain an overview of the collection, analysis, and visualization of complex data, as well as the relevant pivotal concepts.

2017 Summer
+ 1 more semester
2 sections

Data Visualization Intensive

Learn how to make sense of data, draw valid conclusions, and clearly present your findings using data visualization theories and best practices.

2017 Summer
+ 1 more semester
2 sections

Data Visualization for Business

Learn to generate, analyze, and communicate data for a specific business-related project.

2017 Summer
+ 1 more semester
2 sections

Designing Infographics

Focus on merging data, technology, and design to convey exciting, engaging, and informative imagery.

2017 Summer
+ 1 more semester
2 sections

Healthcare Analytics

Learn effective data analysis techniques that can be applied in the medical workplace.

2017 Summer
+ 1 more semester
2 sections

Interactive Data Visualization

Gain the ability to scrape, clean, and process data, as well as to use standalone visualization applications to quickly explore data.

2017 Summer
+ 1 more semester
2 sections

Managing Data for Visualization

Explore the techniques and tools used to organize data into manageable and logical components for analysis and visualization.

2017 Summer
+ 1 more semester
2 sections

Presentation Techniques for Data

Learn standard visualization techniques for design and implementation and be able to rapidly prototype visualizations.

2017 Summer
+ 1 more semester
2 sections