 • ## Elaborate Course: Business Data Analysis

I. CourseIntroduction:

Business Data Analysis is required class for Master ofInternational Business program in Southeast University

The objectives of this class are:

• Attempt  to explain the main stylized facts contained in the world economy.

• Earn the ability to think critically, to analyse and evaluate claims, evidence     and arguments, and to reason and deploy evidence clearly and logically.

• Earn the ability to deploy critically evaluated information to practical ends.

After class study,students are expected to have mastered: (1) data analysis and its use as amanagerial tool and (2) statistical methods with material related to subjectstaught in the school of business. Students will develop their quantitative andICT skills and learn how to apply statistical techniques to solve problems inthe real world of business.

II.Teaching Syllabus (including the content of chaptersand sections. A sheet can be attached):

Lecture 1

1.1Statistics and statistical terms

1.2Concept of data and variables

1.3Role of statistics

Lecture 2

1.1Data sources

1.2Types of Data Scale ofmeasurement

1.3Ethicalguidelines for statistical practice

1.4Introduction tostatistical package

Lecture3

3.1Descriptive statistics: Datatabulation and Graphical methods

3.2Introduction to statistical package

Lecture 4

4.1 Descriptive statistics: Numerical methods

Lecture 5

5.1 Introduction toprobability and discrete probability distributions

Lecture 6

6.1Continuous probability distributions

Lecture

7.1Sampling and sample Surveys.

7.2 Introduction to statistical package

Lecture 8

8.1 Sampling distributions

Lecture 9

9.1 Interval estimation / Confidence interval

9.2 Sample size determination

Lecture 10

10.1 Hypothesis testing

Lecture11

11.1 Simple linear regression

Lecture12

12.1 Nonparametric statistical methods

Lecture13

13.1 Revision

III.Teaching Schedule:

 Week Course  Content Teaching  Method 1 Statistics and statistical terms. Concept of data and variables.  Role of statistics. Statistical package L 2 Data sources (I). Types of Data Scale of  measurement. Ethical guidelines for statistical practice. Introduction to  statistical package L/D 3 Data sources (II). Types of Data Scale of  measurement. Ethical guidelines for statistical practice. Introduction to  statistical package L/D 4 Descriptive statistics: Data tabulation and Graphical methods. Introduction  to statistical package L 5 Descriptive statistics: Numerical  methods (I) L 6 Descriptive statistics:  Numerical methods ( II ) 7 Introduction to probability and discrete probability distributions L/D 8 Continuous probability distributions (I) L 9 Continuous probability distributions ( II ) L 10 Sampling and sample Surveys. Introduction to statisticalpackage (I) L/D 11 Sampling and sample Surveys. Introduction to statisticalpackage ( II ) L/D 12 Sampling distributions L 13 Interval estimation / Confidence interval. Sample size determination L 14 Hypothesis testing L 15 Simple linear regression L/D 16 Nonparametric statistical methods L 17 Revision(I) L 18 Revision( II )

Note: 1. Course terms:  Autumn

2.The teaching languages for courses: English

3. Teaching methods: lecture, seminar, practice, etc.

4. Examination for degree courses mustbe in paper. 