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Research statistics and SPSS Methodology

2 Reviews

Sarjapur Road, Bangalore

Course ID: 57188

Sarjapur Road, Bangalore

Students Interested 0 (Seats Left 0)

₹ 15,000


2 Reviews

About the Course

This course is perfect for research scholars who are at the initial stage of their research and want to do data analysis and write papers properly. Also, good for professionals who need to learn basic statistics and SPSS for their daily work in the office. for data analytics career aspirants this course is a valuable addition to their course. This course is great even if one does not has any initial idea about SPSS. This course covers SPSS from scratch and up to master level. This covers almost all the aspects at the research level including structural equation model (SEM).

  • Introduction to IBM SPSS Statistics
    • Registration and Downloading of  SPSS software.
    • About SPSS software
  • Introduction to Research Methodology
  • Data Loading in SPSS through Questionnaire,
  • Data View, Variable View
  • Width, Label, Values, Decimals, Measure,
  • Data Management through Transformation,
  • Normality tests
  • Shapiro-Wilk, Kolmogorov Smirnov tests,
  • Normality check through Histogram, Skewness and Kurtosis, box plot
  • Descriptive Analysis (Frequency, descriptive and Explore options)
  • Crosstab function
  • Charting with SPSS
    • Explore, P P Plots and Q Q Plots and Interpretations
    • One Sample t test, critical value method, p-value method, Confidence Interval method
  • Independent Sample t-test and Paired Sample t test.  
  • Chi-square test for testing  association between attributes
  • ANOVA (one way and 2 way), multiple comparisons
  • How to write ANOVA result in APA style format for journals and reporting
  • F-Statistics and p-values
  • Correlation
  • Simple Linear Regression, R Square, Adjusted R Square,
  • Autocorrelation and Durbin Watson Statistics
  • Multiple Regression Analysis
  • Hierarchical Multiple Regression Analysis
  • Exploratory Factor Analysis with example
  • Reliability Analysis
  • Non-parametric Analysis
    • Non-parametric Analysis, one sample 
    • Non-parametric Analysis, independent sample
  • General Linear Models
  • Logistic Regression
  • Finalization of the software


Date and Time

Not decided yet.

About the Trainer

Sumit Saha picture

4.77 Avg Rating

35 Reviews

39 Students

5 Courses

Sumit Saha

(PhD), MBA (Marketing), PMP, MBA(HR), B.E (CSE), B.Sc (Math)

3 Years of Experience

I taught 2000+ corporate and academic students in last 8+ years. I also teach PMP, Business Mathematics, Statistics etc to B.Sc, B.Com, CA students other than class 11 & 12 students. I was always rank holder in my academics and love to teach students for their better future.

Student Feedback


Average Rating





Detailed training provided. The training methodology used is 45% theory and 55% practical on tool. Statistical theory and how to use different algorithms are also explained. Net itâ??s a crisp and efficient training provided by Sumit. Spss, statistics and modeler are explained in depth from basic to a master level explaining each and every steps behind the Spss functions and outputs. I recommend Sumit as one of the best trainers available.


Aravind Perumbeti

A very pragmatic way of teaching. From Basics to Mastery of the concepts in data science, statistics and SPSS. I recommend him to be a teacher and guide in deciding your road to data analytics.


Sumit Saha picture

Sumit Saha


2 Reviews

Students Interested 0 (Seats Left 0)

₹ 15,000


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