Data Analysis

Code	15528
Year	1
Semester	S2
ECTS Credits	6
Workload	OT(15H)/TP(30H)
Scientific area	Management
Entry requirements	not applicable
Learning outcomes	• Provide students with a set of concepts and statistical methods of data analysis in business sciences/Finance and Accounting not addressed at the undergraduate level (1st cycle); • Encourage the student to analyze, evaluate, and state the implications of the statistical results of variable sampling processes in the management domain and in the business sciences. • Know and understand the application of other statistical techniques to support the development of research work.
Syllabus	1. INTRODUCTION TO DATA ANALYSIS Basic concepts of statistical inference 2. REGRESSION ANALYSIS 3. ANALYSIS OF VARIANCE - SIMPLE EXPERIENCES (1 FACTOR) COMPLETELY RANDOM 4. ANALYSIS OF THE VARIANCE WITH TWO OR MORE FACTORS 5. CONTINGENCY TABLES AND CHI-SQUARE TESTS 6. FACTORIAL ANALYSIS 7. DISCRIMINANT ANALYSIS
Main Bibliography	ANÁLISE QUANTITATIVA DE DADOS Hair, Joseph F., Bill Black, Barry Babin, Rolph E. Anderson, Ronald L. Tatham (2006) Multivariate Data Analysis, 6/e, Upper Saddle River, US: Prentice Hall, Lisboa, João V., Augusto, Mário G. e Ferreira, Pedro L. (2012), “Estatística Aplicada à Gestão”, Vida Económica, Lisboa. Malhotra, Naresh K. e David F. Birks (2010) Marketing Research – An Applied Approach (6th ed.), Edinburgh Gate, UK: Prentice Hall, Marôco, J. (2011). Análise Estatística com o SPSS Statistics (5th ed.), Pero Pinheiro: McClave, James T., Benson, P. George e Sincich, Terry (2001) Statistics for Business and Economics (8th Ed.), Upper Saddle Rive, US: Prentice Hall, ISBN: 0-13-027293-0 ANÁLISE QUALITATIVA DE DADOS Denzin, N. K., & Lincoln, Y. S. (2005). The Sage handbook of qualitative research. Sage Publications, Inc. Jick, T. (1979). Mixing qualitative and quantitative methods: Triangulation in action. Administrative Science Quarterly, 24(4), 602–611. Retrieved from http://www
Language	Portuguese. Tutorial support is available in English.