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This course is about advanced techniques required in the quantitative data analysis of business research through IBM- SPSS. This course is for all learners since it provides the understanding from basic to advanced techniques making it easier for a beginner and also a learner with the basic knowledge of SPSS.

Those students who want to master the techniques to use SPSS and carry out analysis of the research data can take this course. It has mainly 11 sections and the main concepts taught through out the sections are:

Basics of SPSS
Measure of Central Tendency
Advanced Learning- Data Analysis
Reliability Analysis
Demographic Analysis
Descriptive/ Normality
Factor Analysis
Regression- Linear and Multiple
Regression in the case of Mediation and Moderation

The course has helping material to understand the concepts better in the form of short notes and also the practice exercises at every step to master the skills required to perform analysis.
Who is the target audience?

Anyone interested to learn basics and advanced concepts in SPSS
Anyone interested in learning and enhancing skills to perform quantitative data analysis in research

Course Curriculum

1. Introduction to IBM SPSS
1.1. Introduction 00:00:00
2. Basics of SPSS
2.1. Entering data and case summaries 00:00:00
2.2. Creating labels and Value labels 00:00:00
2.3. Different functions with variables 00:00:00
2.4. Modifying default options in spss. 00:00:00
3. Statistical Analysis
3.1. Measuring Central Tendency 00:00:00
3.2. Stem and Leaf Plot Analysis 00:00:00
3.3. Creating Bar and Pie Charts 00:00:00
4. Data Analysis- Advanced Learning
4.1. Introduction to Data Analysis 00:00:00
5. Reliability Analysis
5.1. Introduction to Reliability Analysis 00:00:00
5.2. Performing Reliability Analysis 00:00:00
5.3. Interpreting Reliability Analysis 00:00:00
6. Demographic Analysis
6.1. Introduction to Demographics 00:00:00
6.2. Demographic Analysis and Interpretation 00:00:00
7. Descriptive Analysis/ Normality
7.1. Introduction to Descriptive and Normality Analysis 00:00:00
7.2. Performing Descriptives and Normality analysis 00:00:00
8. Factor Analysis
8.1. Factor Analysis 00:00:00
9. Correlation
9.1. Introduction to Correlation 00:00:00
9.2. Performance and Interpretation of Correlation 00:00:00
10. Regression
10.1. Introduction to Regression- Linear and Multiple 00:00:00
10.2. Performing Linear Regression 00:00:00
10.3. Performing Multiple Regression 00:00:00
11. Regression in case of Moderation and Mediation
11.1. Introduction to Moderation and Mediation 00:00:00
11.2. Moderation Analysis 00:00:00
11.3. Mediation Analysis 00:00:00
12. Notes and Practice Exercises
12.1. Short Notes 00:00:00
12.2. Practice Exercises 00:00:00
  • FREE
  • 10 Days


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