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Analysis of Descriptive data using MS excel and IBM SPSS

4.8(45,337 reviews)
Duration
5
Upcoming Batch
12 October 2026 - 16 October 2026
Batch Options
4 hours & 8 hours
Language
English/ Arabic

This course provides a comprehensive introduction to the analysis of descriptive data using two powerful tools: Microsoft Excel and IBM SPSS. Designed for beginners and intermediate users, the course covers essential concepts and practical skills necessary to effectively organize, analyze, and interpret descriptive statistics. Participants will learn how to leverage the functionalities of Excel and SPSS to manage data sets, perform descriptive analyses, and present their findings clearly and concisely.

Course Objectives:

By the end of this course, participants will be able to:

  1. Understand the fundamental concepts of descriptive statistics.
  2. Utilize Microsoft Excel to perform basic data analysis tasks.
  3. Employ IBM SPSS for more advanced statistical analysis.
  4. Interpret and present descriptive statistical results effectively.
  5. Develop proficiency in data visualization techniques using Excel and SPSS.

Who Should Attend

  • The meticulous analyst who seeks to refine their Excel skills for comprehensive data interpretation.
  • The eager novice, absorbing SPSS techniques to unlock the mysteries of descriptive data analysis.
  • The corporate executive, recognizing the power of data-driven decision-making and diving into Excel and SPSS with enthusiasm.
  • The inquisitive researcher, eager to master both Excel and SPSS for nuanced statistical exploration.

Schedule Dates

12 October 2026 - 16 October 2026
Analysis of Descriptive data using MS excel and IBM SPSS
18 January 2027 - 22 January 2027
Analysis of Descriptive data using MS excel and IBM SPSS
19 April 2027 - 23 April 2027
Analysis of Descriptive data using MS excel and IBM SPSS
19 July 2027 - 23 July 2027
Analysis of Descriptive data using MS excel and IBM SPSS

Course Content

  • Introduction to descriptive analysis
  • Basics of descriptive statistics
  • Types of variables
  • Data collection methods
  • Frequencies and percentages
  • Common statistical measures
  • Mean
  • Median
  • STDEV and variance
  • Range
  • Measures of associations
  • Applications using MS Excel
  • Applications using IBM SPSS

FAQs

Descriptive data analysis involves summarizing and interpreting data to describe the basic features of the dataset. It includes measures such as mean, median, mode, standard deviation, and frequency distributions.

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