Type of Credit: Required
Credit(s)
Number of Students
This course aims to educate business professionals who are interested in becoming data analysts. With this aim, this class focuses on hands-on data analysis using a statistical software program (e.g., JASP).
能力項目說明
By understanding the basics of business quantitative methods, students are expected to earn the following elements at the end of the semester:
| 教學週次Course Week | 彈性補充教學週次Flexible Supplemental Instruction Week | 彈性補充教學類別Flexible Supplemental Instruction Type |
|---|---|---|
Please refer to the attached file.
Evaluation Criteria:
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TOTAL 100%
Academic Policy:
A. Main textbook (Required):
Cleff, T. (2019). Applied statistics and multivariate data analysis for business and
economics. (A Modern Approach Using SPSS, Stata, and Excel) Springer International Publishing.
Available from NCCU library: https://link.springer.com/book/10.1007/978-3-030-17767-6
B. Other references:
Extra Reading #1: Stockemer, D., Stockemer, & Glaeser. (2019). Quantitative methods for the social sciences (Vol. 50). Springer International Publishing.
Available from NCCU library: https://link.springer.com/book/10.1007/978-3-319-99118-4
Extra Reading #2: Sreejesh S., Mohapatra S., & Anusree M. R. (2014). Binary logistic regression (Ch11). In Business Research Methods. Springer, Cham.
Available from NCCU library: https://doi.org/10.1007/978-3-319-00539-3_11
Extra Reading #3: 胡昌亞、楊文芬、游琇婷、黃瑞傑、鄭瑩妮、王豫萱、陳怡靜、林義挺、陳燕諭、范思美、黃柏僩（2022）。胡唱亞用JASP 完成論文分析與寫作。五南。