Data Analytics (DATA)

DATA 130, ETHICAL AND LEGAL FRAMEWORK OF BIG DATA 3 (3)

This course will cover the ethical and legal issues in society with regard to collecting, processing and utilization of personal data, particularly in large interconnected data sets. An exploration of both the positive benefits and negative consequences will be part of the course.

General Education: IN1, IN3, IN4

Course Entry Requirement(s): Concurrent: ENGL 161

Typically Offered: Spring Semester

DATA 200, DATA MANAGEMENT IN BIG DATA 3 (4)

This course is an introduction into what is meant by Big Data and its uses. An overview of the analytical platforms and tools to work with Big Data are discussed in the context of running better businesses and providing better services to customers. Students will learn about the issues of data variability, velocity, volume and data governance. Students will become familiar with the application of the tools Hadoop, HBase, Hive, MapReduce, Yarn and SQL.

General Education: IN1, IN2, IN4

Course Entry Requirement(s): Prerequisite: MTHM 168 with a "C" or higher

Typically Offered: Fall Semester

DATA 210, BIG DATA MANAGEMENT TECHNOLOGIES 3 (4)

This course will develop the skills with using analysis tools to create information from Big Data sets. Students will discover the power of visualization and graphical tools as an analysis technique using industry standard applications such as R, Spark 1 and 2, Apache SparkR, Spark Graphx. Students will learn to apply machine learning (Spark MLLIB) rules to enhance the integrity and consistency of large data sets.

General Education: IN1, IN2

Course Entry Requirement(s): Prerequisite: MTHM 168 with a "C" or higher and CISS 143

Typically Offered: Fall and Spring Semesters

DATA 220, LINUX ADMINISTRATION FOR BIG DATA 3 (3)

This course provides Linux administration and user skills. Students will utilize the Red Hat version of Linux to develop an understanding of how to install, configure, secure and operate and Linux server platform. The focus of Linux administration and operation will be towards processing data sets, installing data base software and related analysis tools.

General Education: IN1, IN2, IN4

Course Entry Requirement(s): Prerequisite: CISS 121

Typically Offered: Fall and Spring Semesters

DATA 230, PREDICTIVE AND VISUAL ANALYTICS 3 (4)

This course will teach the student how to use the software tool, SPSS, for in depth predictive statistical analysis, reporting and modeling of Big Data sets. Students will learn optimization techniques and how to access data sets from Hadoop data stores. In addition, students will use the I2C visualization tool to discover relationships within large data sets.

General Education: IN1, IN2, IN4

Course Entry Requirement(s): Prerequisite: MTHM 168 with a "C" or higher and CISS 143

Typically Offered: Fall and Spring Semesters

DATA 240, DATA ANALYTICS WITH WATSON STUDIO 4 (4)

This course concentrates on using IBM Watson Studio which is part of the IBM Watson AI suite. Students will explore the difference between machine learning and deep learning as it applies to data analysis. IBM Watson Studio accelerates machine and deep learning required to infuse AI into data analytics. Students will work in teams to develop machine and deep learning models that can be deployed and scaled to large data sets.

General Education: IN1, IN2, IN4

Course Entry Requirement(s): Prerequisite: MTHM 168 with a "C" or higher and DATA 200, DATA 210 and DATA 230

Typically Offered: Fall and Spring Semesters

DATA 247, BIG DATA PROJECTS 3 (4)

Data methodologies implemented by project teams. Include initial feasibility study, data analysis, data design, presentation of results emphasizing data visualizations, and recommendations. Students completing the Data Analytics curriculum will utilize the tools and techniques to analyze data sets from various sources and industries. Students can select a project from their area of interest. Project approval is accomplished through a feasibility study. Using Big Data tools and the IBM Cloud, each student completes their analysis and prepares a presentation of the results and how the analysis was accomplished.

General Education: IN1, IN2, IN4

Course Entry Requirement(s): Prerequisite: DATA 240