Home Categories SPSS

Advanced IBM SPSS- Quantitative Techniques in Research

Learners: 3,007

Instructor: Sana Nazir

Duration:

This Advanced IBM SPSS course is designed to help learners understand and master the techniques of quantitative data analysis for business research. It covers a range of topics from basic to advanced, making it suitable for both beginners and those with some knowledge of SPSS. The course includes 11 sections, with topics such as measure of central tendency, reliability analysis, factor analysis, correlation, and linear and multiple regression. It also provides helpful materials such as short notes and practice exercises to help learners understand and apply the concepts. With this course, learners can gain the skills to perform data analysis and make informed decisions.▼▲

Course Feature Course Overview Course Provider

Go to class

Course Feature

Cost:

Paid

Provider:

Udemy

Certificate:

Paid Certification

Language:

English

Start Date:

2016-03-26

Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [August 13th, 2023]

Skills and Knowledge Acquired:
By taking this course, students will acquire skills and knowledge in the areas of data analysis, reliability analysis, demographic analysis, descriptive/normality, factor analysis, correlation, linear and multiple regression, and mediation and moderation. They will also gain an understanding of the basics of IBM SPSS and measures of central tendency. Additionally, the course provides helpful material in the form of short notes and practice exercises to help students master the skills required to perform analysis.

Contribution to Professional Growth:
Advanced IBM SPSS- Quantitative Techniques in Research provides learners with the opportunity to gain a comprehensive understanding of the techniques required for quantitative data analysis of business research. This course covers a range of topics from basic to advanced, making it suitable for both beginners and those with a basic knowledge of SPSS. Through 11 sections, learners will gain an understanding of concepts such as measure of central tendency, data analysis, reliability analysis, demographic analysis, factor analysis, correlation, and linear and multiple regression. The course also provides helpful materials such as short notes and practice exercises to help learners master the skills needed to perform analysis. By taking this course, learners will be able to develop their professional skills and knowledge, contributing to their professional growth.

Suitability for Further Education:
Advanced IBM SPSS- Quantitative Techniques in Research is a suitable course for preparing further education. It provides learners with a comprehensive understanding of the techniques required for quantitative data analysis of business research through IBM- SPSS. The course covers topics from basic to advanced levels, making it suitable for both beginners and those with basic knowledge of SPSS. It also provides helpful materials such as short notes and practice exercises to help learners master the skills needed to perform analysis. Therefore, this course is suitable for preparing further education.