SPSS DATA ANALYSIS

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Data Analysis, Technology

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£ 250.00£ 220.00

Spss

Course Features

Lectures 96
Quizzes 24
Duration 8 weeks
Skill level All levels
Language English
Students 18218
Certificate Yes
Assessments Yes

Curriculum

24 Sections
96 Lessons
8 Weeks

Expanse all sectionsCollapse all sections

Introduction to SPSS
5
- 1.1
  Overview of SPSS software
- 1.2
  Installation and setup
- 1.3
  Understanding the SPSS interface
- 1.4
  Introduction to data types and formats
- 1.5
  Evaluation Quiz
  10 Minutes0 Questions
Data Management
5
- 2.1
  Importing data from various sources (Excel, CSV, etc.)
- 2.2
  Data entry and editing
- 2.3
  Understanding variables and their properties
- 2.4
  Creating and managing datasets
- 2.5
  Evaluation Quiz
  10 Minutes0 Questions
Data Cleaning
5
- 3.1
  Identifying and handling missing values
- 3.2
  Outlier detection and treatment
- 3.3
  Data transformation techniques
- 3.4
  Recoding variables
- 3.5
  Evaluation Quiz
  10 Minutes0 Questions
Descriptive Statistics
5
- 4.1
  Measures of central tendency (mean, median, mode)
- 4.2
  Measures of dispersion (range, variance, standard deviation)
- 4.3
  Frequency distributions and histograms
- 4.4
  Exploring data using charts and graphs
- 4.5
  Evaluation Quiz
  10 Minutes0 Questions
Bivariate Analysis
5
- 5.1
  Cross-tabulation and chi-square tests
- 5.2
  Correlation analysis (Pearson and Spearman)
- 5.3
  Scatterplots and interpretation
- 5.4
  Effect size measures
- 5.5
  Evaluation Quiz
  10 Minutes0 Questions
T-tests
5
- 6.1
  Introduction to hypothesis testing
- 6.2
  Independent samples t-test
- 6.3
  Paired samples t-test
- 6.4
  Reporting t-test results
- 6.5
  Evaluation Quiz
  10 Minutes0 Questions
ANOVA (Analysis of Variance)
5
- 7.1
  One-way ANOVA concepts
- 7.2
  Post-hoc tests (Tukey, Bonferroni)
- 7.3
  Interpreting ANOVA results
- 7.4
  Assumptions of ANOVA
- 7.5
  Evaluation Quiz
  10 Minutes0 Questions
Non-parametric Tests
5
- 8.1
  Introduction to non-parametric statistics
- 8.2
  Mann-Whitney U test
- 8.3
  Kruskal-Wallis test
- 8.4
  Wilcoxon signed-rank test
- 8.5
  Evaluation Quiz
  10 Minutes0 Questions
Regression Analysis
5
- 9.1
  Introduction to regression analysis
- 9.2
  Simple linear regression
- 9.3
  Interpreting regression output
- 9.4
  Assumptions of regression analysis
- 9.5
  Evaluation Quiz
  10 Minutes0 Questions
Multiple Regression
5
- 10.1
  Concepts of multiple regression
- 10.2
  Model building and selection
- 10.3
  Multicollinearity diagnostics
- 10.4
  Reporting multiple regression results
- 10.5
  Evaluation Quiz
  10 Minutes0 Questions
Logistic Regression
5
- 11.1
  Introduction to logistic regression
- 11.2
  Binary logistic regression analysis
- 11.3
  Interpreting odds ratios
- 11.4
  Model evaluation techniques
- 11.5
  Evaluation Quiz
  10 Minutes0 Questions
Factor Analysis
5
- 12.1
  Introduction to factor analysis
- 12.2
  Exploratory factor analysis (EFA)
- 12.3
  Rotations and interpretation
- 12.4
  Confirmatory factor analysis (CFA)
- 12.5
  Evaluation Quiz
  10 Minutes0 Questions
Reliability Analysis
5
- 13.1
  Understanding reliability and validity
- 13.2
  Cronbach’s alpha
- 13.3
  Test-retest reliability
- 13.4
  Inter-rater reliability
- 13.5
  Evaluation Quiz
  10 Minutes0 Questions
Advanced Data Visualization
5
- 14.1
  Creating advanced charts (boxplots, violin plots)
- 14.2
  Customizing graphs and charts
- 14.3
  Using syntax for reproducibility
- 14.4
  Exporting graphics
- 14.5
  Evaluation Quiz
  10 Minutes0 Questions
Time Series Analysis
5
- 15.1
  Introduction to time series data
- 15.2
  Components of time series
- 15.3
  Moving averages and smoothing techniques
- 15.4
  Seasonal decomposition
- 15.5
  Evaluation Quiz
  10 Minutes0 Questions
Advanced Statistical Tests
5
- 16.1
  ANCOVA (Analysis of Covariance)
- 16.2
  MANOVA (Multivariate Analysis of Variance)
- 16.3
  Mixed-design ANOVA
- 16.4
  Reporting results
- 16.5
  Evaluation Quiz
  10 Minutes0 Questions
Introduction to Syntax
5
- 17.1
  Understanding SPSS syntax
- 17.2
  Writing and running syntax commands
- 17.3
  Benefits of using syntax over GUI
- 17.4
  Creating macros
- 17.5
  Evaluation Quiz
  10 Minutes0 Questions
Data Transformation Techniques
5
- 18.1
  Creating new variables
- 18.2
  Using compute and if commands
- 18.3
  Recode and value labels
- 18.4
  Aggregating data
- 18.5
  Evaluation Quiz
  10 Minutes0 Questions
Handling Large Datasets
5
- 19.1
  Techniques for managing large datasets
- 19.2
  Efficient data manipulation
- 19.3
  Using SPSS with databases
- 19.4
  Best practices for performance
- 19.5
  Evaluation Quiz
  10 Minutes0 Questions
Introduction to Machine Learning in SPSS
5
- 20.1
  Overview of machine learning concepts
- 20.2
  SPSS Modeler introduction
- 20.3
  Data preparation for machine learning
- 20.4
  Basic predictive modeling techniques
- 20.5
  Evaluation Quiz
  10 Minutes0 Questions
Clustering Techniques
5
- 21.1
  Introduction to clustering methods
- 21.2
  K-means clustering
- 21.3
  Hierarchical clustering
- 21.4
  Interpreting clustering results
- 21.5
  Evaluation Quiz
  10 Minutes0 Questions
Text Analytics
5
- 22.1
  Introduction to text mining
- 22.2
  Analyzing qualitative data
- 22.3
  Using SPSS for text analytics
- 22.4
  Reporting findings
- 22.5
  Evaluation Quiz
  10 Minutes0 Questions
Preparing Reports
5
- 23.1
  Best practices for reporting statistical findings
- 23.2
  Using SPSS output viewer
- 23.3
  Exporting results to Word or Excel
- 23.4
  Creating effective presentations
- 23.5
  Evaluation Quiz
  10 Minutes0 Questions
Course Conclusion
5
- 24.1
  Review of key concepts and techniques
- 24.2
  Discussion on further learning resources
- 24.3
  Addressing student questions
- 24.4
  Feedback and evaluation of the course
- 24.5
  Evaluation Quiz
  10 Minutes0 Questions

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