Data Science for Business

Course Objectives

The amount of information that humans can manually handle is limited. Therefore, business leaders have traditionally made decisions based on a small set of data. As the amount of data gets larger in the Technovate Era, a different way of solving problems by utilizing computers and algorithms is becoming more common. Artificial intelligence (or machine learning) plays a central role in this new technique.

If we go back in time, the civil war period in Japan saw a revolution in the way battles were fought. Swords were replaced and outperformed by guns. AI (or machine learning) has a similar impact and the crucial question for modern business leaders is how to apply it to their advantage.

In this course, students will learn the essentials of data science that can help business leaders to make efficient use of AI (machine learning). Throughout the course, you'll get hands-on experience with data processing and machine learning by operating a state-of-the-art machine learning automation tool, DataRobot.

Specifically, students will explore some of the most popular machine learning algorithms and use them to build predictive models for various types of data. Traditionally, data science, especially deep learning and other current mainstream machine learning methods, has required mastery of programming languages such as Python and R. This has been a hurdle for business leaders who are not from engineering backgrounds. By introducing DataRobot, we hope to lower this hurdle to the extreme, allowing more business leaders to experience machine learning and pave the way for the applications of AI in their businesses.

By working hands-on and experiencing the analytical process of data science, we aim for the following:

  • Understand what data science can and cannot do, and be able to set appropriate issues/challenges in applying data science to business.
  • Understand the typical types of machine learning algorithms and be able to design problem-solving methods using algorithms.
  • Be able to ask the right questions to a data scientist and interpret the key results.

 

Course Details

Programs: Full-time MBA, Part-time MBA
Discipline: Technovate
Course Level: Specialized Course
Special Features: None
Required/Elective Course: Elective Course
Number of Credits: 1.5
Report: Day 4
Hours Per Class: 3 hours
Class Capacity: 35

*Due to the characteristics of the course, application of the substitute class and leave of absence system is not available.

 

Recommended Preliminary Courses

- Business Analytics
- Technovate Thinking

 

Theme/Reading Materials

Day 1
Session A
THEME AI in Business
CASE TBD
Session B
THEME The Data Science Process & Kaggle Challenge
CASE TBD
 
Day 2
Session A
THEME Model Building Exercise (1) Structured data/Financial data & how to use DataRobot
CASE DataRobot University
Session B
THEME Model Building Exercise (2) Structured data/Financial data & how to use DataRobot
CASE DataRobot University
 
Day 3
Session A
THEME Model Building Exercise (3) Structured data/Financial data & how to use DataRobot
CASE DataRobot University
Session B
THEME Model Building Exercise (4) Structured data/Financial data & how to use DataRobot
CASE DataRobot University
 
Day 4
Session A
THEME Model Building Exercise (5) Structured data/HR data
CASE Global Pharma Co.
Session B
THEME Model Building Exercise (6) Structured data/HR data
CASE Global Pharma Co.
 
Day 5
Session A
THEME Model Building Exercise (7) Unstructured data/Image data
CASE N/A
Session B
THEME Model Building Exercise (8) Unstructured data/Natural language data
CASE N/A
 
Day 6
Session A
THEME Practicing problem solving using data science (machine learning)
CASE N/A
Session B
THEME Practicing problem solving using data science (machine learning)
CASE N/A

Faculty

Kelvin Song
Kelvin Song
Critical and Analytical Skills
Kelvin is currently in charge of the development of Technovate English MBA courses at GLOBIS. He collaborates with top industry experts to bring the latest knowledge in digital technology and management to the MBA curriculum. He is also the program coordinator of international exchange programs and he sits in the project management office for the university's IT system. Prior to his current roles, he helped GLOBIS launch the Online MBA program.