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22 - DMS - Data Mining and Statistics


DMS 102 - Advanced Statistical Techniques using SPSS

Code Start Date Duration Venue Fees
DMS 102 25 August 2019 5 Days Istanbul $ 2950 Registration Form Link
DMS 102 22 September 2019 5 Days Istanbul $ 2950 Registration Form Link
DMS 102 20 October 2019 5 Days Istanbul $ 2950 Registration Form Link
DMS 102 17 November 2019 5 Days Istanbul $ 2950 Registration Form Link
DMS 102 15 December 2019 5 Days Istanbul $ 2950 Registration Form Link
DMS 102 12 January 2020 5 Days Istanbul $ 2950 Registration Form Link
DMS 102 09 February 2020 5 Days Istanbul $ 2950 Registration Form Link
DMS 102 08 March 2020 5 Days Istanbul $ 2950 Registration Form Link
DMS 102 05 April 2020 5 Days Istanbul $ 2950 Registration Form Link
DMS 102 31 May 2020 5 Days Istanbul $ 2950 Registration Form Link
DMS 102 28 June 2020 5 Days Istanbul $ 2950 Registration Form Link
DMS 102 19 July 2020 5 Days Istanbul $ 2950 Registration Form Link
DMS 102 23 August 2020 5 Days Istanbul $ 2950 Registration Form Link
DMS 102 20 September 2020 5 Days Istanbul $ 2950 Registration Form Link
DMS 102 18 October 2020 5 Days Istanbul $ 2950 Registration Form Link
DMS 102 15 November 2020 5 Days Istanbul $ 2950 Registration Form Link
DMS 102 13 December 2020 5 Days Istanbul $ 2950 Registration Form Link
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Course Description

This course emphasizes the advanced statistical techniques used for inferential approaches to the business and social problems and helps the trainee to improve new aspects for the solutions under the significancies provided by SPSS analysing features. The techniques are especially necessary for the experiments(events) that have two or more factors which impact one or more factors of the subject concerned. In real life, the problems have some factors that each has an effect on to the result, either positively or negatively concluded. However, generally their effect is considered as contributed way with all other factors. On the other hand to evalute such an impact onto the result is a complex problem for the managers or researchers. The program will give a remarkable perspective to the trainee to make confident predictions for the solutions about such multivarite problems by some compact practises focused on to the technique.

Course Objectives

  • Understanding basics of statistics and reliability analysis
  • Being familiar with two-way ANOVA, MANOVA and ANCOVA
  • Understanding multiple regression, logistical regression, factor analysis and log-linear analysis.

 

Who Should Attend?

  • Statistical managers
  • Data miners or researchers
  • Anyone wants to learn more about the statistical practises and using statistical methods

Course Details/Schedule

Day 1

  • Review of descriptive statistics and exploratory data analysis
  • Introducing to inferential statistics
  • Multivariate statistics and analysing techniques in SPSS

Day 2

  • Reliability analysis
  • One-way Anova
  • Two-way Anova

Day 3

  • Multiple comparisons in ANOVA
  • MANOVA
  • ANCOVA

Day 4

  • Nonparametric statistics Mann-whitney U test Wilkcoxon signed-ranks test
  • Nonparametric statistics Chi-square tests and median test
  • Factor analysis
  • Log-linear analysis

Day 5

  • Multiple regression
  • Binomial logistic regression
  • Multinominal logistic regression