Analysis of Descriptive data using MS excel and IBM SPSS

Overview Schedule Dates Course Content Faqs

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:

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

Learning Options

Online Instructor Led

Learn from the comforts of your home/office with our expert trainers via online platforms.

Classroom Training

Face-to-face physical classroom training with max interactions at our 5* training venues.

Onsite Training

Learn in your own environment from our expert trainers for maximum impact.

Overseas Training

Choose your desired country for learning with our expert trainers.

Target Audiance

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

Analysis of Descriptive data using MS excel and IBM SPSS

16 December 2024 - 20 December 2024

Analysis of Descriptive data using MS excel and IBM SPSS

16 March 2025 - 20 March 2025

Analysis of Descriptive data using MS excel and IBM SPSS

16 June 2025 - 20 June 2025

Analysis of Descriptive data using MS excel and IBM SPSS

22 September 2025 - 26 September 2025

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

Frequency tables
Crosstabs
Complex crosstabs
Data summarization
Applications using MS Excel
Applications using IBM SPSS
Statistical measures for grouped data
Exercises

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

Detecting missing data
Imputation for missing data
Single imputation
Multiple imputation
Outlier detection
Applications using MS Excel
Applications using IBM SPSS
Exercises

Building charts principals
Types of charts
Simple and complex charts
Applications using MS Excel
Applications using IBM SPSS
Review course objectives and suggestions

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.

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.

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.

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.

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).