INTRODUCTION TO IBM SPSS STATISTICS

Training syllabus

INTRODUCTION TO IBM SPSS STATISTICS

 

OVERVIEW

Introduction to IBM SPSS Statistics   guides students through the fundamentals of using IBM SPSS Statistics for typical data analysis process. Students will learn the basics of reading data, data definition, data modification, and data analysis and presentation of analytical results. Students will also see how easy it is to get data into IBM SPSS Statistics so that they can focus on analyzing the information. In addition to the fundamentals, students will learn shortcuts that will help them save time. This course uses the IBM SPSS Statistics Base features.

 

TRAINING MATERIAL OUTLINE:

  1. Introduction to IBM SPSS Statistics
  • Explain how IBM SPSS Statistics is used for basic analysis
  • Explain the basic steps in data analysis
  • Understand the primary windows in IBM SPSS Statistics
  • Understand the different components of dialog boxes
  1. Reading data
  • Import data from different types of file formats
  • Describe choices on the File menu for reading data
  • Read Microsoft Excel files
  • Read files from a Microsoft Access database
  • Read delimited text files
  1. Defining Variable Properties
  • Describe and define variable properties in the Variable View window
  • Use the Define Variable Properties dialog box
  • Save variable properties with data in an IBM SPSS Statistics data file
  • Use the Variables utility to view variable properties interactively
  • Use the Display Data Dictionary facility and the Codebook procedure to view variable properties
  1. Working with the Data Editor
  • Use features in the Data Editor
  • Insert, delete, and move variables and cases
  • Use the Split Screen view
  • Copy information from one dataset to another
  • Use the Copy Data Properties feature
  1. Modifying data values: Recode
  • Use Visual Binning to reclassify values of an ordinal or scale variable
  • Use Recode Into a Different Variable to reclassify values of a nominal variable
  • Use Automatic Recode to create a numeric variable from a string variable
  1. Modifying data values: Compute
  • Describe the features of Compute Variable
  • Create new variables with numeric expressions
  • Create new variables with conditional numeric expressions
  1. Summarizing individual variables
  • Define levels of measurement
  • Use the Frequencies procedure to produce tables and charts appropriate for nominal variables
  • Use the Frequencies procedure to produce tables and charts appropriate for ordinal variables
  • Use the Frequencies and Descriptives procedure to produce tables and charts for scale variables
  1. Describing relationships between variables
  • Select the appropriate procedure to summarize the relationship between two variables
  • Use the Crosstabs procedure to summarize the relationship between categorical variables
  • Use the Means procedure to summarize the relationship between a scale and a categorical variable
  1. Selecting cases for analyses
  • Select cases in a data file using various methods
  • Describe and use the features of the Select Cases dialog box
  • Describe and use the features of the Split File dialog box
  1. Creating and editing charts
  • Present results with charts
  • Use the Chart Builder to create various types of graphs
  • Format and edit graphs in the Chart Editor
  1. Working in the Viewer
  • Navigate through the Viewer
  • Perform Automated Output Modification
  • Customize a pivot table
  • Create and apply a template for a pivot table
  • Export output to other applications
  1. Syntax basics
  • Use basic syntax to automate analyses
  • Use the Syntax Editor environment
  • Create syntax
  • Run syntax
  • Edit syntax
  1. Menus and the Help System
  • Use the menus
  • Use the Toolbars
  • Use all types of help in IBM SPSS Statistics

 

RECOMMENDATION FOR PARTICIPANT: Participant must bring Laptop for practice sessions

 

INSTRUCTOR :    Abdullah Fajar, S.Si.,M.Sc.

 

VENUE :   Kagum Group Hotel Bandung (Golden Flower, Banana Inn, Serela, Gino Feruci), Amaroossa Hotel, Noor Hotel, Grand Setiabudi Hotel, dll

 

TRAINING DURATION :   4 days

 

TRAINING TIME :  

Januari 2024 Februari 2024 Maret 2024 April 2024
2 – 5 Januari 2024 5 – 8 Februari 2024 4 – 7 Maret 2024 1 – 4 April 2024
8 – 11 Januari 2024 12 – 15 Februari 2024 12 – 15 Maret 2024 22 – 25 April 2024
15 – 18 Januari 2024 19 – 22 Februari 2024 18 – 21 Maret 2024 29 April – 2 Mei 2024
22 – 25 Januari 2024 26 – 29 Februari 2024 25 – 28 Maret 2024
29 Jan – 1 Feb 2024
Mei 2024 Juni 2024 Juli 2024 Agustus 2024
6 – 9 Mei 2024 3 – 6 Juni 2024 1 – 4 Juli 2024 5 – 8 Agustus 2024
13 – 16 Mei 2024 10 – 13 Juni 2024 8 – 11 Juli 2024 12 – 15 Agustus 2024
20 – 23 Mei 2024 19 – 22 Juni 2024 15 – 18 Juli 2024 19 – 22 Agustus 2024
27 – 30 Mei 2024 24 – 27 Juni 2024 22 – 25 Juli 2024 26 – 29 Agustus 2024
29 Juli – 1 Agus 2024
September 2024 Oktober 2024 November 2024 Desember 2024
2 – 5 September 2024 1 – 4 Oktober 2024 4 – 7 November 2024 2 – 5 Desember 2024
9 – 12 September 2024 7 – 10 Oktober 2024 11 – 14 November 2024 9 – 12 Desember 2024
16 – 19 September 2024 14 – 17 Oktober 2024 18 – 21 November 2024 16 – 19 Desember 2024
23 – 26 September 2024 21 – 24 Oktober 2024 25 – 28 November 2024
28 – 31 Oktober 2024

 

INVESTATION PRICE/PERSON :

  1. Rp. 8.500.000/peserta (bayar penuh)  atau
  2. Rp. 8.250.000/peserta (early bird, yang membayar 1 minggu sebelum training)  atau
  3. Rp. 7.950.000/peserta (peserta bergroup yang terdiri dari 3 peserta atau lebih dari 1 perusahaan yang sama)

 

FACILITIES FOR PARTICIPANTS:

  1. Modul Training
  2. Flash Disk berisi materi training
  3. Sertifikat
  4. ATK: NoteBook dan Ballpoint
  5. T-Shirt
  6. Ransel
  7. Foto Training
  8. Ruang Training dengan fasilitas Full AC dan multimedia
  9. Makan siang dan 2 kali coffeebreak
  10. Instruktur yang Qualified
  11. Transportasi untuk peserta dari hotel penginapan ke hotel tempat training – PP (jika peserta minimal dari satu perusahaan ada 4 peserta)