WORKSHOP DETAILS

Duration: Monday, Tuesday, Wednesday and Friday
Date: 10 Dec to 26 Dec
Time: 7 pm to 9 pm

ABOUT THE PROGRAM

BENEFITS OF SPSS & AI

• Faster analysis
• High accuracy in interpretation
• Assistance in complex statistical explanations
• Automated report generation

PROGRAM OUTCOMES

• Clean, organize, and analyze datasets
• Conduct appropriate statistical tests
• Interpret findings
• Build AI-assisted research reports
• Improve publication quality
• Save time and reduce analytical errors

KEY TOPICS COVERED

• Session 1:
  Introduction with SPSS, import data from google form, cleaning of excel file from google form, import data from CSV and Xlsx formal, Creating data in SPSS, Data view and Variable View
• Session 2:
  Dealing with categorical data, Frequency distribution, Professional representation of frequency distribution in excel and in research papers, multi layers cross tabulation, Advance statistical tests available for categorical variables, Difference between categorical variables and dummy variables, how and when to use dummy vs categorical variables
  
• Session 3:
  Descriptive analysis, mean and trimmed mean, standard deviations, z scores and its estimation, skewness and kurtosis, how to examine normal distribution, testing and elimination of outliers in the data
• Session 4:
  Test of difference: Z test, t test, one sample t test, independent sample t test, paired sample t test, repeated sample t test, assumptions of t test
• Session 5:
  Test of difference using variations: One-way Anova test, post hoc tests, assumptions of Anova Test and Two-way Anova test
• Session 6:
  Test of association, Chi Square Test, Cramerʼs V Statistics
• Session 7:
  Test of relationship, Correlation analysis, Partial Correlation, Rank correlation
• Session 8:
  Non-Parametric Tests: Mann Whitney Test, Wilcoxon test, Kruskal Wallis, Friedman Anova
• Session 9:
  Regression analysis: Bivariate regression analysis, causation effects, R square, coefficient of determination, F statistics, unstandardized and standardized regression coefficients, hypothesis testing using t tes
• Session 10:
  Regression assumptions: Multicollinearity, Autocorrelation problem, Heteroskedasticity problem, Gauss Markov theorem

WHO SHOULD ATTEND?

This course is ideal for marketing professionals, business analysts, data scientists, and students interested in applying AI and analytics in marketing. No prior programming experience is required.

RESOURCE PERSON

Dr. Ajay Kumar Chauhan (M.Sc. Mathematics, MBA Finance, UGC NET, Ph.D. Finance) is the founder of 6thQResearchH LLP (Research-Shiksha) and currently serves as Professor of Practice in Analytics at BIM Trichy. With over a decade of teaching experience at institutions like IMT Ghaziabad, LBSIM, and Apeejay, Dr. Chauhan has conducted more than 1000 training workshops nationally and internationally on topics such as Structural Equation Modelling, Financial Econometrics, Machine Learning, and Business Research Methods. He has published 25 research papers in ABDC A & B category journals, authored three books, and completed an advanced course in Econometrics from Switzerland. A renowned trainer, he has collaborated with prestigious organizations including IIMs, NTPC, Coca-Cola, and NITs, and has also taught internationally in Bulgaria.

WORKSHOP HIGHLIGHTS

Exclusive Resources

• Lifetime access to session videos.
• Pre-shared PPTs, datasets, and e-Books

Certification

• Receive an e-Certificate upon completion

REGISTRATION PROCESS

• Pay Rs.1999/-

Note:

• Please share your transaction details with us on the whatsapp number 9811216905, and we will add you to the workshop group without delay.

For further enquiry, contact,
Dr. Ajay Kumar Chauhan
98112 16905 | ajay@bim.edu
Mr. Ganesh, 98945 24333 | ganesan.v@bim.edu