Data Analytics & Infrastructure Courses
Data Analytics & Infrastructure Courses
Please note: We've updated the title of this area of study from Data Analytics & Management to Data Analytics & Infrastructure. While our courses and programs remain the same, you may notice that our URLs have been updated to reflect this change.
COM SCI X 414.65
For those with SQL knowledge, this course covers advanced SQL statements used in inserting, retrieving, and updating a database. Students learn how to use advanced features of SQL commands and other advanced topics.
Format: Live Online
Next Start Date: March 30, 2026
COM SCI X 450.3
Learn tools for distributed data storage and large data set processing. This course focuses on architectures and technologies, including NoSQL and Hadoop.
Format: Online | In Person
Next Start Date: January 5, 2026
COM SCI X 450.6
Data governance is an integrated framework of policies and technology applied to ensure effective data management. This course will help students to gain an understanding of various components that allow an enterprise to manage data.
Next Start Date: TBA
COM SCI X 450.51
Learn advanced data modeling and design scalable, cost-effective architectures for analytics and AI systems using relational, NoSQL, time-series, and vector databases through hands-on projects and assignments.
Format: Online
Next Start Date: January 5, 2026
COM SCI X 450.00
Designed for students with limited programming, statistics, or data analytics knowledge, this data science overview course is ideal for beginners, business analysts, or non-tech managers interested in the field.
Format: Online | In Person
Next Start Date: January 5, 2026
COM SCI 751.1
This interactive session, led by experienced instructors and program advisors, provides an in-depth exploration of data science competencies, cutting-edge tools, real-world applications, course requirements, career pathways, and community engagement.
Format: Live Online
Next Start Date: December 11, 2025
COM SCI X 450.2
Learn the iterative process of exploratory data analysis (EDA), data analysis techniques, data exploration, and visualization. Course tools include R for data analysis and Tableau for data visualization.
Format: Online | In Person | Live Online
Next Start Date: January 5, 2026
COM SCI X 470.1
This course covers data engineering fundamentals, including data collection, storage, processing, and analysis. It explores the entire data pipeline and the technologies used, preparing students to apply these skills to real-world use cases in analytics and machine learning.
Format: Online
Next Start Date: January 5, 2026
COM SCI X 450.1
This course covers the key knowledge domains in data science, including data development and management, machine learning and natural language processing, statistical analysis, data visualization, and inference.
Format: Online | In Person
Next Start Date: January 5, 2026
COM SCI X 450.7
This hands-on course helps you use predictive analytics for improving business performance using techniques such as data mining, statistics, modeling, machine learning, and artificial intelligence.
Format: Online
Next Start Date: January 5, 2026
COM SCI X 418.104B
Python is a high-level, dynamically typed, and portable programming language that excels when the cost of software development outweighs performance considerations.
Format: Online | In Person
Next Start Date: January 5, 2026
COM SCI X 418.105
Get an introduction to core concepts in probability and statistics that will be useful throughout your data science career. This course also introduces students to important Python tools used by data scientists.
Format: Online
Next Start Date: January 5, 2026