Course Catalog

Golden Gate University offers degree and certificate programs at three teaching centers and online.

Introduction to Business & Data Analytics

This course will introduce the basic concepts of data analytics as applied in various business contexts. After learning the basic concepts, students will learn how to differentiate between various topics such as statistical analysis, data mining, business intelligence, business analytics, and data science to describe which approach is most suitable given a certain problem. Finally, students will gain exposure to the various tools and programming languages that are relevant to both business and data analytics, and how these tools yield critical analysis leading to improved business decisions.

Units: 3 , Offered: Spring 2021 , Fall 2020

DATA 101
Data Visualization for Business

This course will introduce the concept of data visualization that will include theory as well as a hands-on component. Students will examine how to represent data for exploratory data analysis in a variety of business contexts. Students will have the opportunity to design and build interactive dashboards using advanced data visualization platforms such as Excel and Tableau for presenting enterprise performance data, and for performing business analysis quickly and easily. Prerequisite(s): MATH 40.

Units: 3 , Offered: Fall 2020

DATA 102
Business Intelligence & Data Mining

Students will learn the fundamentals of data architecture for business decision making. Topics include fundamentals of data integration, data warehousing and data lakes, data visualization and business performance management. The course introduces contemporary tools such as Google fusion tables and Microfocus dashboards. Prerequisite: DATA 50 and MATH 104.

Units: 3 , Offered: Spring 2021

DATA 103
Data Analytics Using SAS

This course introduces students to core data analysis techniques using SAS. Students will learn to access data files, manipulate and transform data, combine data sets, and create basic detail and summary reports using SAS procedures. They will also conduct statistical estimations such as Chi-square tests, t-test, and multiple regressions. This course introduces basic concepts found in the SAS Certified Base Programming exam. Prerequisite: DATA 50 and MATH 104.

Units: 3 , Offered: Spring 2021 , Fall 2020

DATA 104
Introduction to Social Media Data Analytics

In this course, students will learn the basics of analysis of social media data, using R programming language. Students will use R for techniques such as sentiment analysis in order to gain behavioral insights from social media data utilizing various application programming interfaces (API), and will take a critical approach to the benefits and limits of such analysis. Prerequisite: DATA 102.

Units: 3 , Offered: Fall 2020

DATA 110
Introduction to Machine Learning and Natural Language Processing

In this course, students will learn and apply the Python programming language as well as the basics of machine learning (ML), from basic classification to decision trees and clustering, and natural language processing (NLP), including sentiment analysis, summarization, dialogue state tracking. Prerequisite: DATA 50 and DATA 102.

Units: 3

DATA 115
Introduction to Relational Databases & SQL

This course provides a foundation in database essentials. Students will learn existing and emerging relational database designs and tools; data extraction, transformation, and loading (ETL); and the use of Structured Query Language (SQL) for data access, manipulation and reporting. PrerequisiteS: DATA 50 and DATA 102.

Units: 3 , Offered: Fall 2020

DATA 120
Introduction to Big Data

This course introduces students to the world beyond SQL and the concept of Big Data (structured and unstructured), its characteristics, and the existing and emerging ecosystems. Students will address the challenges of managing and handling big data in a business or organizational context, as well as the larger cultural and ethical implications. Students will learn about NoSQL databases, and how to use existing and emerging software tools such as Hadoop for data access, manipulation and reporting. Prerequisite: DATA 102 and DATA 115.

Units: 3 , Offered: Spring 2021

DATA 125
Artificial Intelligence in Business

Artificial Intelligence (AI) is increasingly being viewed by a variety of businesses as a strategic value. This course introduces students to the basics of AI and how different businesses view the role and strategic value of AI. This is done by examining business applications of AI in a range of vertical business segments, such as finance, healthcare, transportation, among others, and identification of key business values and benefits afforded by AI across each of these verticals. Prerequisite(s): DATA 50 and DATA 110.

Units: 3 , Offered: Spring 2021 , Fall 2020

DATA 190

This course provides the students an opportunity to apply knowledge and skills they have gained through the degree program to a hands-on project based on a case study using real data. Alternatively, students may choose, with the permission of their management, to work with an organization within their place of employment, conducting quantitative analysis on actual operational data, providing findings back to their organization. Prerequisite: DATA 104, DATA 110, DATA 115, and DATA 120.

Units: 3 , Offered: Spring 2021

DATA 199
Directed Study in Data Analytics

Provides individual study of selected topics under supervision of a faculty member. Students are limited to one directed study course per trimester. Prerequisite: consent of the department.

Units: 1 - 3