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22 - DMS - Data Mining and Statistics


DMS 101 - Statistical Techniques using SPSS

Code Start Date Duration Venue Fees
DMS 101 13 October 2019 5 Days Istanbul $ 2950 Registration Form Link
DMS 101 10 November 2019 5 Days Istanbul $ 2950 Registration Form Link
DMS 101 01 December 2019 5 Days Istanbul $ 2950 Registration Form Link
DMS 101 05 January 2020 5 Days Istanbul $ 2950 Registration Form Link
DMS 101 02 February 2020 5 Days Istanbul $ 2950 Registration Form Link
DMS 101 29 March 2020 5 Days Istanbul $ 2950 Registration Form Link
DMS 101 26 April 2020 5 Days Istanbul $ 2950 Registration Form Link
DMS 101 31 May 2020 5 Days Istanbul $ 2950 Registration Form Link
DMS 101 21 June 2020 5 Days Istanbul $ 2950 Registration Form Link
DMS 101 19 July 2020 5 Days Istanbul $ 2950 Registration Form Link
DMS 101 16 August 2020 5 Days Istanbul $ 2950 Registration Form Link
DMS 101 13 September 2020 5 Days Istanbul $ 2950 Registration Form Link
DMS 101 11 October 2020 5 Days Istanbul $ 2950 Registration Form Link
DMS 101 08 November 2020 5 Days Istanbul $ 2950 Registration Form Link
DMS 101 06 December 2020 5 Days Istanbul $ 2950 Registration Form Link
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Course Description

This course will introduce trainees to the logic and use of statistical techniques in social sciences. The will be able to evaluate social or business research problems  themselves and to have a capability of deciding on  the true statistical alternative after handling the business problems. It presents the basics of the Statistical Package for the Social Sciences (SPSS). It introduces the SPSS Windows environment, discusses how to create a dataset, variable transformations, data manipulations, and descriptive statistics. It will assist trainees in developing the data analysis skills necessary for autonomous and efficient computer processing, manipulation, and analysis of empirical data in the study of social science data or business data.

Course Objectives

  • Building on a basic understanding of statistics
  • Using an omnibus statistical package like SPSS for computation
  • Acquainting trainees to some to the mechanics of utilizing this package
  • Discussing, analyzing, and interpreting Multivariate procedures such as Multiple Regression, Discriminant Function Analysis, Logistical Regression, Cluster Analysis, Multidimensional Scaling, Loglinear Analysis, Survival Analysis, Complex Analysis of Variance Designs, Multivariate Analysis of Variance, and the Analysis of Simple Effects

Who Should Attend?

  • Statistical Managers
  • SAP project team
  • Inventory team personnel
  • anyone wants to learn about the Statistical practises and  using statistical methods

Course Details/Schedule

Day 1

  • Decision making as a business approach
  • Decision Making Procedure
  • Five basic steps

Day 2

  • Talking about Statistics, remember some basics of Statistics
  • Speaking about reseach phases, propose, analysis and reporting results
  • Learning about practises on data  using statistical methods
  • Emphasizing on the importance of data

Day 3

  • Bing familiar with the features of SPSS
  • The SPSS Windows environment
  • Handling any research problem using SPSS

Day 4

  • Determining the experiment of problem
  • Practicing with statistical analysis tool of SPSS
  • Processing data of research and extracting conclusions for the problem
  • Interpreting the conclusions in business approach and decision making 

Day 5

  • Deterministic decisions
  • Probabilistic decisions
  • Hypothesis testing in SPSS