Di Wu

Professor Wu’s primary interests are in temporal databases, the semantic web and data science. Most of his research has been in extending the Resource Description Framework (RDF) for temporal dimensions. Before joining CU, he taught algorithms and data structures, programming languages, and database management courses.

Coursera

University of Colorado Boulder

Classification Analysis (Coursera)

Statistics & Data Analysis Data Science

Dive into the 'Classification Analysis' course and unlock a deep understanding of how to classify data using various powerful algorithms. This comprehensive course on Coursera will guide you through key classifiers like K-Nearest Neighbors (KNN), Decision Trees, Support Vector Machines (SVM), Naive Bayes, and Logistic Regression. You'll gain practical experience by applying these techniques to actual datasets, enhancing your ability to perform data analysis effectively.

Oct 26th 2026

5-12 Weeks

Classification Logistic Regression Support Vector Machines

Coursera

University of Colorado Boulder

Clustering Analysis (Coursera)

Statistics & Data Analysis Data Science

Dive into the world of unsupervised learning with our comprehensive 'Clustering Analysis' course on Coursera. This course is designed to equip you with essential knowledge and practical skills in clustering techniques and dimension reduction, enabling you to effectively analyze and interpret complex datasets. Whether you're a data enthusiast or a professional looking to advance your career, this course offers valuable insights into the unsupervised learning landscape.

Oct 26th 2026

5-12 Weeks

Clustering PCA Clustering Analysis

Coursera

University of Colorado Boulder

Regression Analysis (Coursera)

Statistics & Data Analysis Data Science

Dive into 'Regression Analysis' - a foundational course that unravels the mysteries behind one of the most powerful predictive modeling tools. From basic principles to advanced applications, this course will guide you through understanding, implementing, and evaluating regression models effectively.

Oct 26th 2026

5-12 Weeks

Regression Linear Regression Polynomial Regression

Coursera

University of Colorado Boulder

Advanced Topics and Future Trends in Database Technologies (Coursera)

CS: Information & Technology

Dive deep into the advanced realms of database technologies with our expert-led course. From understanding NoSQL databases to exploring Big Data solutions, you'll gain a thorough understanding of complex topics and future trends shaping the industry. Perfect for professionals looking to enhance their skills and stay updated on the latest advancements in database management.

Oct 19th 2026

4 Weeks

Databases Big Data Data Warehousing

Coursera

University of Colorado Boulder

Python Packages for Data Science (Coursera)

Statistics & Data Analysis Data Science

Embark on a journey into the world of data science with our beginner-friendly Python Packages for Data Science course. Perfect for those new to programming, this course will equip you with essential tools and techniques to handle, analyze, and visualize data using Python's most powerful packages. Start your path to becoming a data-savvy analyst today!

Oct 19th 2026

4 Weeks

Python Data Science Data Visualization

Coursera

University of Colorado Boulder

Relational Database Design (Coursera)

CS: Information & Technology

Discover the art and science of Relational Database Design with our expert-led course. Whether you're a beginner or looking to refine your existing skills, this course will guide you through the entire process - from initial concept to fully functional database. Master key concepts like normalization, ER modeling, and SQL queries as you work on real-life mini cases.

Jul 6th 2026

4 Weeks

Relational Databases Relational Model DBMS

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