We're still actively developing this site. If you encounter any issues, please report them! - Report an issue

NAVIGATING THE DATA REVOLUTION: CONCEPTS OF DATA & INFORMATION SCIENCE

LIS 440
Course Description

Provides an introduction into the world of Data Science. Includes hands-on projects using scenarios involving analysis of real-world data and development of graphical visualizations. Introduces statistical tests, data management, data programming, data ethics and visualization of data.

Prerequisties

Satisfied Quantitative Reasoning (QR) A requirement, Satisfied Communications A requirement, and sophomore standing

Satisfies

This course does not satisfy any prerequisites.

Credits

3

Offered

Not Applicable

Grade Point Average
3.88

3.96% from Historical

Completion Rate
98.61%

2.61% from Historical

A Rate
87.5%

8.67% from Historical

Class Size
72

55.84% from Historical

2025 Fall Grade Distribution

Instructors (2025 Fall)

Sorted by ratings from Rate My Professors

Similar Courses

CONCEPTS AND TOOLS FOR DATA ANALYSIS AND VISUALIZATION

JOURN/LIS 677

An introduction to information and data visualization: introduction to major concepts, instruction in specific tools for data analysis and visualization, and application of skills in a final project.

DATA VISUALIZATION AND COMMUNICATION FOR DECISION MAKING

LIS 707

Introduces key concepts in data visualization and communication including how and why visualization can be an effective tool for summarizing, analyzing and communicating about data, and limitations and challenges of using visualization techniques. Students will use contemporary software to develop visualization dashboards and presentations as well as plan appropriate types of visualization(s) based on source data, audience, and goals, evaluate visualizations for effectiveness and bias.

DATA MINING PLANNING AND MANAGEMENT

LIS 706

Prepares students to plan, manage and assess a data mining project in light of organizational strategic goals. Introduces stages of a data mining project, data mining project evaluation frameworks, and principles of data ethics related to data mining. Learn and apply introductory data mining tools and techniques for data clustering, dividing data into classes, making predictions and identifying networks.

STATISTICAL DATA VISUALIZATION

STAT 436

Techniques for visualization within data science workflows. Topics include data preparation; exploratory data analysis; spatial, tabular, and graph structured data; dimensionality reduction; model visualization and interpretability; interactive queries and navigation.

DATA STORYTELLING WITH VISUALIZATION

LIS 407

Introduction to data visualization including how and why visualization can be an effective tool for summarizing, analyzing and communicating about data, the limitations and challenges in using data visualizations, including misrepresentation and bias and planning appropriate types of visualization(s) based on source data, audience, and goals. Instruction will include hands-on experience with popular visualization software platforms to develop visualizations and presentations.