Applied Data Analysis Using SPSS – Batch 03
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.
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
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Recording of the live session
52:52
Session 01: Introduction to SPSS and Data Entry
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Recording of the live session
55:50
Session 02: Data Preparation and Management
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Recording of the live session
54:24
Session 03: Descriptive Statistics
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Recording of the live session
01:05:14
Session 04: Exploratory Data Analysis (EDA):
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Recording of the live session
01:06:22
Session 05:Factor Analysis (EFA)
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Recording of the live session
01:07:53
Session 06: Reliability Analysis (Cronbach’s Alpha)
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Recording of the live session
01:24:25
Session 07: Correlation Analysis
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Recording of the live session
52:14
Session 08: T-Test & ANOVA
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Recording of the live session
54:14
Session 09: Regression Analysis
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Recording of the live session
57:57
Session 10: Data Cleaning & Exporting
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Recording of the live session
53:36