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
Embark on your journey into programming with our Introduction to Python Fundamentals course. Designed for beginners, this course will equip you with essential Python skills needed to work with data effectively. Whether you're interested in data science, web development, or automation, understanding Python is a crucial first step.
Coursera
Embark on a journey into the world of Python programming with our beginner-friendly 'Introduction to Python Functions' course. Designed for those new to coding, this course will teach you how to harness the capabilities of Python's built-in functions, manage external packages, and create your own custom functions to enhance code reusability and adaptability.
Coursera
Embark on a journey to become proficient in collecting and integrating various types of data with the 'Data Collection and Integration' course. This course is designed to equip you with essential skills for extracting information from files, databases, web pages, and APIs, using powerful tools such as Pandas, Beautiful Soup, and SQL. Whether you're new to data science or looking to enhance your current skill set, this course will provide you with the practical knowledge needed to tackle real-world data integration challenges.
Coursera
Discover how to efficiently process and manipulate data with our comprehensive 'Data Processing and Manipulation' course. Designed for beginners and professionals alike, this course will teach you the fundamental skills needed to handle raw data effectively, ensuring it is ready for analysis and decision-making processes.
Coursera
Discover the art and science of data preparation with 'Fundamental Tools of Data Wrangling'. This course equips you with the necessary skills to effectively clean, manipulate, and analyze your data using powerful tools like Python, NumPy, pandas, and more. Whether you're new to data wrangling or looking to refine your existing skills, this course offers a practical approach to mastering the fundamentals.
Coursera
Discover the secrets to making sense of your data with 'Data Understanding and Visualization'. Learn key statistical principles and transform raw data into clear, insightful visuals that tell a story. Perfect for beginners and professionals alike, this course equips you with the skills to analyze and present data effectively.
Coursera
Dive into the world of unsupervised learning with our comprehensive Association Rules and Outliers Analysis course. This course is designed to equip you with essential skills in identifying patterns within large datasets using association rules and detecting anomalies through advanced techniques. Whether you're a data enthusiast or a professional looking to enhance your analytical toolkit, this course offers practical knowledge and real-world applications.
Coursera
Embark on a practical journey into the world of data analysis with our 'Data Analysis with Python Project' course. This hands-on specialization will guide you through applying your skills to a real-life project, exploring various analytical methods and techniques using Python. From raw data to actionable insights, this course is designed for those who want to make informed decisions based on data.
Coursera
Embark on a comprehensive journey through data wrangling with our hands-on 'Data Wrangling with Python Project' course. This course is designed to equip you with the essential skills needed to navigate the complex world of data processing. By following a real-life project, you'll learn how to identify and source data, clean it, integrate various datasets, and prepare them for analysis using Python. Whether you're new to data science or looking to refine your existing skills, this course offers practical experience that's crucial in today's data-driven world.