MGP-269-001 Business Intelligence Technologies Data Mining

Spring 2020
CRN: 72744
Instructor: Yang, Yinghui
Day/Time: Odd Weekend Friday
Location: Sacramento

Course Description
This course introduces popular machine learning methods to address big data problems businesses face. It covers topics in clustering, association rules for market basket analysis, classification, numeric prediction, model evaluation, etc. This course provides an entry point for students to use Python to apply machine learning models to analyze various types of data. This is a very hands-on class. You will be learning Python to process data and perform data mining and machine learning tasks on different types of data. The course is recommended for students interested in understanding the techniques and applications of using data mining and machine learning methods to process data, and also for students who are interested in learning Python from scratch and using it to program and analyze data. After taking this class, the students should be able to understand the data mining process, comprehend several popular machine learning and data mining methods, use Python to apply data mining and machines learning methods on different types of data, and also formulate problems for a given data set.
*This course was previoulsy called, "Data Mining". 


Grading Policy: Letter
Concentration: Business Analytics, STEM

Syllabus: Syllabus
Textpack: No Text Pak Required
Bookstore: Please refer to the course syllabus for textbook information. Textbooks may be purchased at the UC Davis Bookstore. Please check the bookstore website for current information.


Additional course information and materials are available on Canvas.