Course Jukebox

Course Jukebox

Course Detail

Standard Academic Year
Course delivery methods
Business & administrative studies
College of Management
Course Offering Year
Course Offering Month
September - January
Weekday and Period
Wednesday A,B,C
Course Number

Statistics and Data Analysis National Taiwan University

Course Overview

Statistics and data analysis are probably playing the most important roles in business analytics nowadays. With the ability to conduct scientific statistical studies and systematically analyze data, managers will be able to understand more about their customers, suppliers, competitors, and the business environment. The insights may then facilitate better decision making and help a company to attain competitive advantages. In this fundamental course in the Global MBA (GMBA) program, we will focus on the techniques for conducting basic statistical studies and data analysis. The hope is that students will be capable of doing scientific data analyses in their future GMBA courses and after graduations. Time will be spent on tools, applications, as well as theories. Statistical software will be taught and used throughout this course. For at least part of this course, I plan to adopt the "flipped classroom" principle, which may be new to some students. Please pay attention to the syllabus to get an idea about the design of this course.

This is a required course offered in the GMBA program in National Taiwan University. The GMBA office does not allow non-GMBA students to take or audit this course.

Learning Achievement

Week Date Topic Suggested Reading
1 9/13 Overview and in-class brainstorming LD, MK, B Ch. 1
2 9/20 (No class: the instructor is in UIUC)
3 9/27 MS Excel operations
4 10/4 (No class: Mid-Autumn Festival)
5 10/11 Exploratory data analysis (1) B Ch. 2
6 10/18 Exploratory data analysis (2) B Ch. 3
7 10/25 Probability B Chs. 4–6
8 11/1 Case study (1)
9 11/8 Distributions and sampling B Ch. 7
10 11/15 (No class: NTU’s birthday)
11 11/22 Hypothesis testing B Chs. 9–10
12 11/29 Regression analysis (1) B Ch. 12
13 12/6 Regression analysis (2) B Chs. 13–14
14 12/13 Case study (2)
15 12/20 Explanation vs. prediction
16 12/27 Data mining and machine learning
17 1/3 Review and preview
18 1/10 Final project presentations


Course prerequisites

*Restrict to students in GMBA program.

Grading Philosophy

Course schedule

Course type

Online Course Requirement


Ling-Chieh Kung

Other information

Global MBA, College of Management

Site for Inquiry

Please inquire about the courses at the address below.

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