資料科學與決策支援 Data Science and Decision Support - 報名截止日:08/25

The prerequisites for this course are statistics and basic programming. Students are required to take laptops in the classroom for practicing coding skills and handling real datasets. This course is expected to be applied to two major areas: machine intelligence and business analytics. Course loading is heavy, totally different from the style of case oriented in-class discussing. Students are expected to employ the skills learned in class to conduct data-driven decision making & support.

Course Descriptions and Objectives:

The primary objective of this course will guide students to follow a PDCA (plan-do-check-action) loop in data science to solve real problems: defining your problem, selecting appropriate methods, evaluating the performance, and modifying the constructed models. In addition, the main objectives of this course are summarized as follows:

  1. Applying statistical skills to real problems (quality control),
  2. Applying clustering skills to real problems (target marketing),
  3. Applying classification skills to real problems (bankruptcy prediction),
  4. Applying regression skills to real problems (demand forecasting),
  5. Applying dimension-reduction skills to real problems (business intelligence).

 

資料科學與決策支援 Data Science and Decision Support

金額:24,000元