SPSS Analytics for Statistical Analysis and Data Modeling

SPSS Analytics explores how to turn raw datasets into clear statistical findings and predictive models. The course focuses on preparing data, selecting appropriate tests, interpreting outputs, and presenting evidence for research and business decisions. Work with descriptive statistics, hypothesis testing, correlation, regression, and data modeling techniques to identify patterns, assess relationships, and support reliable analysis.
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Curriculum

SPSS Analytics, data modeling, statistical analysis, predictive analytics, ZeblearnIndia Course Syllabus Structure

The SPSS Analytics curriculum covers data cleaning, descriptive statistics, and advanced modeling techniques. You will complete 30 interactive labs using real datasets from finance and healthcare sectors.

  • Introduction to Survey Data Analytics using SPSS
  • Introduction to SPSS Data Editor Window
  • Introduction to Measurement Instruments with Real Questionnaires
  • Defining Variables in SPSS
  • Entering Data in SPSS
  • Editing Data in SPSS

  • Introduction to Parametric and Non-Parametric Tests
  • Measurements Instruments and Statistical Tests

  • Producing Graphs and Charts in SPSS
  • Editing SPSS Graphs and Charts in MS-Word
  • Frequencies in SPSS
  • Editing SPSS Frequencies in Excel and MS-Word
  • Crosstabulations in SPSS
  • Editing SPSS Crosstabulations in Excel and MS-Word

  • One-Sample Sign Test
  • Wilcoxon Signed-Ranks Test
  • One-Sample Runs Test for Randomness
  • Pearson Chi-Square Test for Goodness of Fit
  • Kolmogorov-Smirnov One-Sample Test

  • Chi-Squared Test for Two Samples
  • Fisher's Exact Test for 2 × 2 Tables
  • Median Test
  • Wilcoxon-Mann-Whitney U Test
  • Kolmogorov-Smirnov Two-Sample Test

  • McNemar Change Test
  • Sign Test for Two Related Samples
  • Wilcoxon Signed Rank Test

  • Kruskal-Wallis Ranks Test for K Independent Samples
  • Extended Median Test for K Independent Samples
  • Pearson Chi-Square Test for K Independent Samples

  • Cochran Q Test
  • Friedman Analysis of Variance by Ranks Test
  • Kendall's Coefficient of Concordance (W)

  • Contingency Coefficient
  • Spearman Rank-Order Correlation Coefficient

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    SOLD OUT 30 Aug 2026 Weekend SAT - SUN (08 Weeks) 18:00 - 20:00
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    FAQ

    Frequently Asked Questions

    Q: What types of statistical tests can be performed with SPSS Analytics? A: SPSS Analytics supports descriptive, inferential, regression, and multivariate tests such as ANOVA, chi-square, and factor analysis. Q: How does SPSS Analytics facilitate predictive modeling? A: The platform provides built-in algorithms for linear, logistic, and time-series forecasting that output model coefficients and validation metrics. Q: Can SPSS Analytics be integrated with external data sources? A: Yes, it reads CSV, Excel, SQL databases, and can connect via ODBC to pull real-time datasets.

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