Introduction to Data Analysis and Research in Business (MGMT 203)

2021 Spring
School of Management
Management(MGMT)
3
6.00 / 6.00 ECTS (for students admitted in the 2013-14 Academic Year or following years)
Füsun Ülengin fulengin@sabanciuniv.edu, Raha Akhavan Tabatabaei akhavan@sabanciuniv.edu,
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English
Undergraduate
MGMT201
Interactive lecture,Recitation
Project based learning,Task based learning
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CONTENT

This course teaches practical perspectives on research design, data collection, and analysis useful for managers. The scientific method, defining a hypothesis, sources and validity of data, sampling, examining distributions of and relationships between data, basic inferential statistics, linear regression, and ethics in research are topics covered in the course. The course follows a hands-on, skill-building approach using mainly MS Excel and appropriate add-ins for statistical analysis.

OBJECTIVE

This course provides a detailed introduction to data analysis and research in business. Applications are chosen from a variety of areas such as operations and marketing. Thus, the course lays the foundation for more detailed study in those functional area courses. The emphasis is both on conceptual understanding of the material and doing hands on statistical analysis. Microsoft Excel and associated add-ins are used for the purpose of analysis.

The course provides the student with a strong background in statistical principles and the process of business research and survey design. Students will be introduced to several different and interesting applications of data analysis and statistics in business. Combining this contextual information with some statistical tools, students are expected to have a better understanding of when and why statistical analysis is useful, understand the importance of valid, reliable data collection, and have the practical skills to carry out such tasks. The successful student will finish this course with an ability to effectively evaluate and act upon statistical reports and data relating to applications in business. In addition, due to the hands-on nature of the course, the students will become skilled in performing certain standard statistical analyses using MS Excel.

LEARNING OUTCOME

Upon successful completion of the course, the student should be able to:
1. Describe the role of research in business.
2. Describe the different data-collection methods.
3. Use appropriate tools in MS Excel to summarize/visualize/analyze quantitative data.
4. Interpret and calculate descriptive statistics.
5. Apply sampling correctly.
6. Interpret and calculate confidence intervals.
7. Perform and interpret hypothesis tests.
8. Use various parametric tests, including the linear regression model and interpret the output.

ASSESSMENT METHODS and CRITERIA

  Percentage (%)
Final 30
Midterm 15
Exam 10
Participation 5
Written Report 15
Presentation 10
Homework 15

RECOMENDED or REQUIRED READINGS

Textbook

S. Christian Albright, Wayne L. Winston. Business Analytics: Data Analysis & Decision Making, 6th Edition, CENGAGE Publishing, 2017.