I was invited back to esteemed colleague and neighbor Professor Aleksandar Velkoski‘s Fundamentals of Data Science (DSC441) class for a guest talk. The summer session class was packed with aspiring Computer Scientists, Information Systems and even a Cybersecurity professionals keen to better understand data science.

Dr. Velkoski’s Data Science Lecture

According to the syllabus, the biggest challenge that data warehousing professionals face is extracting value from vast data warehouse. One of best tools to use is data mining.

The course objectives are to:

• Identify basic concepts, terminology, models and methods in the field of data mining
• Develop and evaluate different data mining algorithms
• Apply data mining algorithms to large datasets
• Recommend designs of knowledge discovery systems for specific problems

Dr. Velkoski explaining the Gini distribution devised by Corrado Gini in 1912

If you are felling up to the challenge feel free to pick up the textbook: Data Mining: Concepts and Techniques, by Han and Kamber, Morgan Kaufman Publishers, Third Edition.
Textbook webpage: http://www.cs.uiuc.edu/~hanj/bk3/

Learn more about Dr. Velkoski’s academic profile.