Data Analytics (M.S.)

Data analysts or data scientists improve decision-making processes in organizations by applying analytics techniques to interpret data. There is a growing demand for professionals skilled in big data and data analytics in government, industry, and research organizations. Graduates will receive a well-rounded education that covers the fundamentals of computer science and data analysis, as well as engineering principles and data management, which can be applied in a variety of industries.

Career Resources

LinkedIn Learning Classes

Tableau 10 Essential Training

Taught by Curt Frye
Tableau is the widely used data analytics and visualization tool that many consider indispensable for data-science-related work. Its drag-and-drop interface…

Data Science Foundations: Data Engineering

Taught by Ben Sullins
Approach big data with confidence by mastering the core skills needed to put data to work for your business. This…

Unity: Working with Google Firebase

Taught by Harrison Ferrone
A dependable backend is a must-have for today’s games. Giving users the ability to log in and save and retrieve…

Oracle Database 12c: Security

Taught by David Yahalom
Database security is one of the hottest topics for Oracle DBAs, and one of the most important aspects of their…

Business Analytics Foundations: Descriptive, Exploratory, and Explanatory Analytics

Taught by Kumaran Ponnambalam
Business analytics allows us to learn from the past and make better predictions for the future. There are three types…

Data Science Foundations: Choosing the Right Database

Taught by Kumaran Ponnambalam
Over the past few years, the database world has seen a plethora of new database types appear: document, key-value, graph,…

Blockchain Programming in iOS Using Swift

Taught by Mohammad Azam
Blockchain enables decentralized encryption of sensitive data. Once the domain of the dark web, the power of the blockchain can…

Azure Spark Databricks Essential Training

Taught by Lynn Langit
Apache Spark and Microsoft Azure are two of the most in-demand platforms and technology sets in use by today’s data…

Microsoft Dynamics 365 and the Power Platform

Taught by Gini von Courter
Microsoft Flow, Power BI, and PowerApps make up the Power Platform, and are designed to integrate with the cloud-based functions…

Material Requirements Planning (MRP) Strategies in SAP

Taught by Michael Management
Discover how to calculate the materials required for product manufacturing with greater accuracy and speed within SAP. The SAP ERP…

Customer Insights and Consumer Analytics for Organizations: Concepts

Taught by Chris DallaVilla
Due to the web and social media, customers have more control than ever. In today’s business landscape, companies in both…

Review and Manage the SAP MRP List

Taught by Michael Management
The material requirements planning (MRP) list is a key information source for anyone involved in inventory control and manufacturing. This…

SPSS Statistics Essential Training

Taught by Barton Poulson
SPSS Statistics is a statistics and data analysis program for businesses, governments, research institutes, and academic organizations. In this course,…

SAS® 9.4 Cert Prep: Part 08 Controlling Data Step Processing

Taught by SAS Institute
Want to get ahead in a crowded job market? Get certified with SAS. This course is part of a series…

Cloud NoSQL for SQL Professionals

Taught by Lynn Langit
NoSQL databases can store nonrelational data on a super large scale and solve problems regular databases can’t handle: indexing the…

SQL Server Machine Learning Services: R

Taught by Adam Wilbert
SQL Server now includes support for direct execution of R code. This integration allows complex data science analyses to be…

CIPP/US Cert Prep: 5 State Privacy Laws

Taught by Mike Chapple
In the world of privacy, the federal and state governments of the United States have overlapping authority. As a privacy…

Data Science Foundations: Data Assessment for Predictive Modeling

Taught by Keith McCormick
CRISP-DM, the cross-industry standard process for data mining, is composed of six phases. Most new data scientists rush to modeling…

Python Functions for Data Science

Taught by Madecraft
Functions are a core building block of programming and working with data and an essential approach to making code more…

Designing Highly Scalable and Highly Available SQL Databases

Taught by Dan Sullivan
Online activities, mobile devices, and Internet of Things (IoT) sensors are generating immense volumes of data. Much of that data…