Instructor: Ling-Chieh Kung
Department of Information Management
National Taiwan University
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.
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On-line resources |
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For a detailed description about this course, including course policies, grading rules, tentative schedules, etc., please see the syllabus. Whenever there is an update, a new version will be posted with a short note describing the update.
Post | Syllabus | Notes |
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2017/8/12 | Link | The tentative planning (may be changed before the semester starts) |
Week | Topic | Lecture | Video | Pre-lecture Problems |
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1 | Introduction | Slides | N/A | N/A |
2 | (The instructor is in UIUC) | N/A | N/A | N/A |
3 | MS Excel Operations | Slides | N/A | N/A |
4 | (Mid-autumn Festival) | N/A | N/A | N/A |
5 | Descriptive Statistics (1) | Slides, Problems, Data | Playlist | Problems |
6 | Descriptive Statistics (2) | Slides, Problems, Data | Playlist | Problems |
7 | Probability | Slides, Problems, Data | Playlist | Problems |
8 | Case 1 Presentations | N/A | N/A | N/A |
9 | Distributions and Sampling | Slides, Problems, Data | Playlist | Problems |
10 | (NTU's birthday) | N/A | N/A | N/A |
11 | Hypothesis Testing | Slides, Problems, Data | Playlist | Problems |
12 | Regression Analysis (1) | Slides, Problems, Data | Playlist | Problems, Data |
13 | Regression Analysis (2) | Slides, Problems, Data | Playlist | Problems, Data |
14 | R Programming | Slides, Data, Codes | N/A | N/A |
15 | Case 2 Presentation | N/A | N/A | N/A |
16 | Introduction to Data Mining | Slides, Data, Codes | N/A | N/A |
Item | Description |
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Data: Bike | Data set: bike rentals |
Data: Wholesale | Data set: wholesale data |
Math symbols | Common mathematical notations and operations |
Data Analysis | The MS Excel add-on "Data Analysis" |
R for Windows | R Installation and GUI Setup for Windows |
R for Mac | R Installation and GUI Setup for Mac |
Item | Description |
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Case 1 | Description of Case Study 1 |
Case 1 Data | Data for Case Study 1 |
Case 2 | Description of Case Study 2 |
Case 2 Data | Data for Case Study 2 |
Case 2 Feedback | Feedback for Case Study 2 |
Item | Description |
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Project | Desctiption of the final project |