• DATA 6060: Analytics in the Enterprise

  3.00 Credits

  Utah State University

  
  This course provides foundational knowledge and important skills for business professionals regarding the role and use of analytics in today's enterprises. Repeatable for credit: Yes Grade Mode: Standard
  ShareDATA 6060 - Analytics in the Enterprise

• DATA 6230: Management of Database Systems

  3.00 Credits

  Utah State University

  
  This course covers the theory and application of designing, developing, and maintaining database systems. Students learn principles of managing data resources to support effective information systems in organizations.
  ShareDATA 6230 - Management of Database Systems

• DATA 6330: Data Pipeline Engineering

  3.00 Credits

  Utah State University

  
  This course explores the design and engineering of effectively structured data ecosystems. Using programming tools, students develop efficient and effective dataflows to ensure quality data are available to meet critical data analysis requirements. Additional coursework is required for those enrolled in the graduate-level course. Prerequisite/Restriction: Python programming and database coursework or experience Dual Listed: DATA 5330
  ShareDATA 6330 - Data Pipeline Engineering

• DATA 6360: Data Warehousing

  3.00 Credits

  Utah State University

  
  This course introduces the process of creating and populating data warehouses for enterprise-level decision making. Topics include data consolidation from operational SQL databases via ETL process, database schema design and implementation, and various report generation. Additional coursework is required for those enrolled in the graduate-level course. Prerequisite/Restriction: DATA 3330 Dual Listed: DATA 5360
  ShareDATA 6360 - Data Warehousing

• DATA 6400: Visual Data Analytics

  3.00 Credits

  Utah State University

  
  This course helps students to make connections between visualization techniques and analytics algorithms, developing a balanced skill set to more clearly communicate insights from complex data sets. Additional coursework is required for those enrolled in the graduate-level course. Dual Listed: DATA 5400
  ShareDATA 6400 - Visual Data Analytics

• DATA 6420: Introduction to Text Mining

  3.00 Credits

  Utah State University

  
  Students learn how to clean and transform unstructured text data, quantify it using several feature engineering methods, and produce data-driven insights using supervised and unsupervised text mining algorithms. This course covers concepts in both natural language processing and statistical/machine learning. Additional coursework is required for those enrolled in the graduate-level course. Prerequisite Recommendation(s): Students registering for this course should have prior coursework or some experience with basic statistics and programming. Dual-listed as: DATA 5420 Repeatable for credit: No Grade Mode: Standard
  ShareDATA 6420 - Introduction to Text Mining

• DATA 6480: Data Mining

  3.00 Credits

  Utah State University

  
  This course introduces data mining and business intelligence technologies. Students utilize a clustering algorithm for customer segmentation, an association rule algorithm for cross-selling/website optimization, single and ensemble classifiers for churn prediction/fraud detection/targeted ads, and visualization tools for data and output representation. Additional coursework is required for those enrolled in the graduate-level course. Dual Listed: DATA 5480
  ShareDATA 6480 - Data Mining

• DATA 6500: Advanced Python Programming for Analytics

  3.00 Credits

  Utah State University

  
  This course covers advanced Python programming principles and analytics applications, including object-oriented programming, sorting, data structures, cloud computing, data mining, and introductory machine learning. Additional coursework is required for those enrolled in the graduate-level course. Prerequisite/Restriction: DATA 3500 Dual Listed: DATA 5500
  ShareDATA 6500 - Advanced Python Programming for Analytics

• DATA 6570: Building Software With Artificial Intelligence

  3.00 Credits

  Utah State University

  
  AI-generated code, and associated tools, are rapidly advancing. This course covers software engineering principles, architecture principles, software development with AI-generated code, AI code testing, and AI code deployment of a larger software applications. Additional coursework is required for those enrolled in the graduate-level course. Prerequisite Recommendation(s): Prior programming experience -- Python recommended Dual-listed as: DATA 5570 Repeatable for credit: No Grade Mode: Standard
  ShareDATA 6570 - Building Software With Artificial Intelligence

• DATA 6610: Advanced Machine Learning for Analytics

  3.00 Credits

  Utah State University

  
  This course covers applications of modern machine learning for business decision-making. Students learn about the modeling process to enable rational data-driven business decisions, using machine learning algorithms and their computational implementation in real-world settings. Additional coursework is required for those enrolled in the graduate-level course. Prerequisites/Restrictions: DATA 5600 Dual listed as: DATA 5610
  ShareDATA 6610 - Advanced Machine Learning for Analytics