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Data analysis using IBM SPSS for beginners
Rating: 4.4 out of 5(118 ratings)
287 students

Data analysis using IBM SPSS for beginners

Data Analysis, IBM SPSS, Statistics
Last updated 7/2024
English

What you'll learn

  • Know the application of statistical concepts in research during data analysis stage.
  • Handle research data using IBM SPSS for analysis.
  • Interpret the output of IBM SPSS.
  • Understand the concept of inferential statistics including hypothesis and its relevance in research.

Course content

14 sections19 lectures4h 42m total length
  • Introduction2:11

Requirements

  • Should have the basic knowledge of research and excel

Description

Aim

This course is aimed at better understanding the application of statistical concepts in research during data analysis stage which can enable the research scholars, students and faculty members to undertake thesis, dissertation and research paper.

Expected Outcome:

1. The workshop shall offer you the basic foundation for statistical analysis using SPSS.

2. The participants will be clear with applying appropriate statistical test for the given

data.

3. The participants shall be familiar data entry, data preparation, data analysis techniques

and hypothesis testing using SPSS.

4. Detailed Interpretation of the Output results.

Pedagogy:

The program shall be focused mainly on application of statistics for analyzing the data. The

session will be a blend of theory and practical with more importance to hands on exercise. Input

data shall be given to the participants to analyse and come out with meaningful results. SPSS

shall be used as a tool for data analysis. Equal importance shall be given to the concepts behind

the test and interpretation of the result.

Target Audience:

1. Research Scholars

2. Management Students

3. Faculties

SPSS as a tool for Data Analysis:

SPSS is one of the most widely used statistical software which is being recognised by the research community worldwide. Thanks to its user friendly Graphical User interface which has made data analyses much easier to deal with few clicks to get the required output. No matter how user friendly it is, one cannot neglect the importance of underlying fundamental statistics behind it to understand which type of test to use to what type of data and how to interpret the same. As a researcher, one has to be familiar with both the tools and techniques of data analysis and theory behind it. The two day national work shop on data analysis technique bridge the gap between all three dimensions of data analysis-Tools, Techniques and Theory behind it.


Who this course is for:

  • Beginner in research who would like to use IBM SPSS for Data Analysis