BUSINESS ADMINISTRATION | LABORATORIO DI ANALISI DI MERCATO
BUSINESS ADMINISTRATION LABORATORIO DI ANALISI DI MERCATO
cod. 0212100022
LABORATORIO DI ANALISI DI MERCATO
0212100022 | |
DIPARTIMENTO DI SCIENZE ECONOMICHE E STATISTICHE | |
EQF6 | |
BUSINESS ADMINISTRATION | |
2016/2017 |
YEAR OF COURSE 3 | |
YEAR OF DIDACTIC SYSTEM 2014 | |
SECONDO SEMESTRE |
SSD | CFU | HOURS | ACTIVITY | |
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SECS-S/03 | 5 | 30 | LESSONS |
Objectives | |
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KNOWLEDGE AND UNDERSTANDING THE STUDENTS ARE EXPECTED TO MASTER THE MAIN STATISTICAL TOOLS FOR MARKET ANALYSIS AS A WELL AS A BASIC KNOWLEDGE OF THE LANGUAGE R. APPLYING KNOWLEDGE AND UNDERSTANDING THE STUDENTS ARE EXPECTED TO BE ABLE TO IMPLEMENT IN R LANGUAGE THE MAIN DATA ANALYSIS TECHNIQUES COMMONLY USED FOR MARKET ANALYSIS. COMMUNICATION SKILLS ABILITY TO PRESENT TO A NON-TECHNICAL AUDIENCE THE RESULTS OBTAINED FROM THE APPLICATION OF STATISTICAL MODELS AND TECHNIQUES FOR MARKET ANALYSIS. MAKING JUDGEMENTS GIVEN A SPECIFIC EMPIRICAL PROBLEM, THE STUDENTS ARE EXPECTED TO BE ABLE TO CHOOSE THE MOST APPROPRIATE STATISTICAL TOOLS FOR ANALYZING THE PROBLEM AND TO PROVIDE A MEANINGFUL ECONOMIC INTERPRETATION FOR THE RESULTS OF THE ANALYSIS. LEARNING SKILLS ABILITY TO SUCCESSFULLY PERFORM ADVANCED STUDIES IN THE FIELD OF MARKET ANALYSIS WITHIN LAUREA MAGISTRALE O 1ST LEVEL MASTER COURSES. |
Prerequisites | |
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IT IS EXPECTED THAT STUDENTS ATTENDING THE COURSE HAVE A BASIC KNOWLEDGE OF PROBABILITY AND STATISTICAL INFERENCE. |
Contents | |
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INTRODUCTION TO THE R LANGUAGE: MAIN OBJECTS, DATA FRAMES, FUNCTIONS. DATA ANALYSIS IN R: DESCRIPTIVE ANALYSES, RELATIONSHIPS BETWEEN CONTINUOUS VARIABLES, COMPARING GROUPS, LINEAR MODELS FOR ANALYZING CAUSAL RELATIONSHIPS. MARKETING APPLICATIONS. |
Teaching Methods | |
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LECTURES |
Verification of learning | |
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ORAL EXAM FOLLOWING WITH DEFENSE OF A PROJECT WORK BASED ON THE ANALYSIS OF AN EMPIRICAL CASE STUDY. IN PARTICULAR THE EXAM AIMS AT EVALUATING THE ABILITY TO CORRECTLY APPLY THE TAUGHT METHODS, THE RIGOUR AND CLARITY OF EXPRESSION. |
Texts | |
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CERIOLI, A., ZANI S. (2007) ANALISI DEI DATI E DATA MINING PER LE DECISIONI AZIENDALI, GIUFFRÉ EDITORE. OR, ALTERNATIVELY: CHAPMAN, C. N., MCDONNELL FEIT, E. (2015) R FOR MARKETING RESEARCH AND ANALYTICS, SPRINGER. FOR AN INTRODUCTION TO THE R LANGUAGE THE INTERESTED STUDENT MAY REFER TO: IACUS, S., MASAROTTO, G. (2013) LABORATORIO DI STATISTICA CON R (2A EDIZIONE), MC-GRAW HILL ITALIA. |
More Information | |
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FURTHER MATERIAL (DATA, SOFTWARE, LECTURE NOTES) WILL BE PUBLISHED ON THE INSTRUCTOR'S WEBSITE. |
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