Analysis with SPSS


What analysis do you need. Consult for SPSS Data analysis for:

  • Simple Linear Regression
  • Multiple Linear Regression
  • Discriminant Analysis
  • One-Sample T-Test
  • Independent T-Test
  • ANOVA (Analysis Of Variance
  • MANOVA (Multivariate Analysis Of Variance)
  • Logistic Binary Regression
  • Cluster Analysis
  • Factor (Exploratory and Confirmatory) Analysis
  • Correlation analysis
  • Chi-square Test
  • and any statistical test required


Python for data science services include:

Data cleaning, visualizing, descriptive analysis, inferential analysis, modeling, forecasting, or predicting 

  • Descriptive Statistics
  • Design and Analysis of experiments across all fields
  • Probability
  • Statistical tests
  • Regression analysis
  • Analysis of Variance
  • Time Series Analysis
  • K-Nearest Neighbors
  • Decision Trees
  • Random Forests
  • K-Means Clustering
  • Hierarchical Clustering
  • Density-Based Clustering
  • Dimensionality Reduction: Feature Extraction & Selection
  • Statistical Modeling
  • Business Analysis
  • Model Implementation


Basic research steps we manage:

  • Definition of variables (Guide)
  • Selection of Model (Guide)
  • Electronic Questionnaire development 
  • Distribution of questionnaire/data collection
  • Data cleaning/preprocessing
  • Data visualization
  • Data analysis with wide range of statistical tools
  • Model training and development
  • Deployment of model (for production purposes)

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