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Applied Data Analysis Using SPSS – Batch 04

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About Course


FAQs

Do I need prior knowledge of statistics?

Basic understanding helps, but we start with fundamentals and build up. The course is beginner-friendly.

Will I get practical assignments or datasets?

Yes! Real-world datasets and guided assignments are part of the training.

Do I need to install software beforehand?

We’ll guide you on how to install SPSS.

Is this course suitable for thesis or dissertation work?

Yes, this course is perfect for students working on theses or dissertations. It will help you design, analyze, and interpret your data correctly, making your findings academically credible and publication-ready.

How is this course different from other SPSS tutorials found in youtube or in online?

First of all, you will get the answer of your own question about the problem you have experienced. This is not just a theory-based course — it’s an applied, hands-on program designed around real datasets and practical research problems. You’ll leave the course ready to use these tools in real academic or workplace scenarios.

Is this course recognized or accredited?

While this is a professional skill-development course, the certificate will reflect your mastery of SPSS  tools — a valuable credential for your academic or professional journey.

 
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What Will You Learn?

  • Confidently navigate the SPSS interfaces.
  • Perform data entry, coding, cleaning, and transformation.
  • Apply descriptive statistics and create charts, tables, and visualizations.
  • Conduct correlation, t-tests, ANOVA, and regression analysis.
  • Run Exploratory Factor Analysis (EFA) and check reliability with Cronbach’s Alpha.
  • Analyze direct, indirect (mediation), and moderating effects.

Course Content

Orientation

  • Recording of the live session
    54:03

Session 01: Introduction to SPSS and Data Entry

Session 02: Data Preparation and Management

Session 03: Descriptive Statistics

Session 04: Exploratory Data Analysis (EDA):

Session 05:Factor Analysis (EFA)

Session 06: Reliability Analysis (Cronbach’s Alpha)

Session 07: Correlation Analysis

Session 08: T-Test & ANOVA

Session 09: Regression Analysis

Session 10: Data Cleaning & Exporting

Session 11: Assessment

Student Ratings & Reviews

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MA
3 months ago
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