learning@counselltrain.com
CounselTrain
Contact usEnquire now
Call usEnquire now

Analysis of Descriptive data using MS excel and IBM SPSS

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

Course Overview

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.

Target Audience

  • 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.

Course Content

5 modules · 50 topics
01Introduction to statistics13 topics
  • 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
02Raw data and grouped data8 topics
  • Frequency tables
  • Crosstabs
  • Complex crosstabs
  • Data summarization
  • Applications using MS Excel
  • Applications using IBM SPSS
  • Statistical measures for grouped data
  • Exercises
03Data manipulation15 topics
  • Multi-response and one-response data
  • Identify unusual data
  • Identify duplicated data
  • Merging data from multiple files
  • Compare datasets
  • Sort, split and select
  • Restructure data
  • Data aggregations
  • Recoding to same and different variables
  • Visual binning
  • Optimal binning
  • Statistical measures for grouped data
  • Applications using MS Excel
  • Applications using IBM SPSS
  • Exercises
04Anomaly detection8 topics
  • Detecting missing data
  • Imputation for missing data
  • Single imputation
  • Multiple imputation
  • Outlier detection
  • Applications using MS Excel
  • Applications using IBM SPSS
  • Exercises
05Data visualization6 topics
  • Building charts principals
  • Types of charts
  • Simple and complex charts
  • Applications using MS Excel
  • Applications using IBM SPSS
  • Review course objectives and suggestions

Schedule Dates

4 upcoming batches
Session Type
Physical sessions run at our training facility.
Analysis of Descriptive data using MS excel and IBM SPSS
Batch DatesDurationBatch OptionsLanguageAction
12 October 2026 - 16 October 2026Next5 Days4 hours & 8 hoursEnglish/ Arabic
18 January 2027 - 22 January 20275 Days4 hours & 8 hoursEnglish/ Arabic
19 April 2027 - 23 April 20275 Days4 hours & 8 hoursEnglish/ Arabic
19 July 2027 - 23 July 20275 Days4 hours & 8 hoursEnglish/ Arabic

Can’t find a suitable date? Request a schedule that fits your team.

Request More Information

FAQs

What is descriptive data analysis?

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.

Why is descriptive data analysis important?

Descriptive analysis provides valuable insights into the characteristics of the data, helping researchers and analysts understand the central tendency, variability, and distribution of the variables under study. It forms the foundation for further inferential analysis.

What are the key features of MS Excel for descriptive data analysis?

MS Excel offers a range of functions and tools for descriptive analysis, including formulas for calculating basic statistics, pivot tables for summarizing data, and charts for visualizing distributions and trends.

How does IBM SPSS support descriptive data analysis?

IBM SPSS is a powerful statistical software that provides advanced capabilities for descriptive analysis. It offers a user-friendly interface for generating descriptive statistics, creating frequency tables, and conducting exploratory data analysis.

What are some common descriptive statistics used in Excel and SPSS?

Common descriptive statistics include measures of central tendency (mean, median, mode), measures of variability (standard deviation, variance), measures of distribution shape (skewness, kurtosis), and measures of association (correlation coefficients).

How We Deliver

Flexible Training Options to Meet Your Needs

Choose how you learn — live online, in-classroom, at your workplace, or internationally. CounselTrain delivers certified IT training across the UAE in the format that fits your team.

Select the method that best suits your needs.

Online Instructor-Led Training

Learn from the comfort of your workplace or at home through live virtual sessions led by expert trainers.

Learn more

Highlights

Live SessionsRecorded AccessGlobal

Related Courses

Other courses in the same category that might interest you.

View All
Upcoming Batch
12 October 2026 - 16 October 2026