Curriculum

DATA600 DATA ANALYSIS USING R (GRADUATE, 3 CREDIT HOURS)

This course serves as the introduction to the Data Analytics master’s program. Its purpose is to introduce to students R and R Studio as a data analytic platform. Students will learn the basics of R by using it to review and learn basic statistical analyses.

Prerequisite: Admission to degree and/or certificate programs or permission from the Program Director.

DATA604 PYTHON PROGRAMMING AND DATA MANAGEMENT (GRADUATE, 3 CREDIT HOURS)

This online course is an introduction to analytical programming in Python and Data Management using SQL. The course presents foundational material required for the Data Analytic MS Core Courses to ensure students are ready for that material. Some of the course material will be similar to that offered in a computer science course but will focus on the skills most often required by analysts rather than programming and database specialists.

Prerequisite: Admission to degree and/or certificate programs or permission from the Program Director.

DATA 610 INTRODUCTION TO DATA MINING (GRADUATE, 3 CREDIT HOURS)

This course provides an experiential introduction to current issues and methods in data mining, applications of some introductory data mining algorithms. A leading statistical and data mining software package, R will be used to apply techniques learned in the class to some modern and classic data sets. Topics include algorithms for supervised and unsupervised machine learning techniques.

Prerequisites: DATA 600 Data Analysis using R; DATA 604 Python Programming and Data Management.

DATA 612 VISUALIZATION, STORYTELLING AND ETHICS (GRADUATE, 3 CREDIT HOURS)

The ability to communicate the results of data analyses is as important as the analyses themselves. This course will introduce topics important to data storytelling, to allow students to become better data presenters and critical viewers of data. Various visualization tools will be presented, and students will learn how best to report data to various types of audiences. Students will gain experience producing interactive, automatically updating data “dashboards.” Students will collaborate to produce collective visual stories, and provide critical reviews of each other’s work. Relevant areas of data ethics will also be introduced, including the protection of customer or patient privacy and the importance of conveying the uncertainty of results.

Prerequisites: DATA 600 Data Analysis using R.

DATA 616 DATA ENGINEERING, CURATION, AND ANALYTICS WITH AI (GRADUATE, 3 CREDIT HOURS)

This course provides an experiential overview of current issues in data analytics from both analytic and computer sciences perspectives. The focus is on learning techniques for (1) scraping, cleaning, and manipulation of raw data from a variety of live sources and preparing them for analysis, (2) learning to manipulate and reorganize data to apply a variety of analytic tools, and (3) manipulate a variety of data features to enhance to predictive power of statistical models. The focus of this course will be primarily on techniques and tools used to extract data from various sources (primarily live and active data streams), prepare it for analysis, and then apply those analyses with a special emphasis on the understanding of feature engineering: the process of creating representations of data that increase the effectiveness of a predictive model.

Prerequisites: DATA 600 Data Analysis using R, DATA 604 Python Programming and Data Management; DATA 610 Introduction to Data Mining Core courses.

DATA 618 AI APPLICATIONS IN TEXT PROCESSING AND COMPUTER VISION (GRADUATE, 3 CREDIT HOURS)

This course will utilize Python to develop text and image processing techniques. Students will leverage industry standard methodologies for text and image processing. Students will gain experience with feature extraction and classification techniques in both visual and textual domains using neural networks and traditional machine learning models. This is a 3-credit hour project-based course.

Prerequisites: DATA 604 Python Programming and Data Management; DATA 612 Visualization, Storytelling and Ethics