Research and Data Analysis

Quantitative Data Analysis Software (SPSS, Stata) Advanced Training Course

Introduction

In today’s data-driven world, advanced skills in quantitative data analysis are essential for research, policy development, academic inquiry, and data-centric decision-making. Quantitative Data Analysis Software Advanced Training Course is designed to equip researchers, analysts, data scientists, and professionals with practical expertise in utilizing these powerful software tools for statistical modeling, data interpretation, and evidence-based reporting. The course delves deeply into descriptive statistics, inferential analysis, regression modeling, multivariate techniques, and predictive analytics, offering hands-on experience that transforms theoretical knowledge into practical application.

This industry-relevant training focuses on real-world datasets, automation of analysis procedures, and custom script development for reproducibility and efficiency. Participants will master techniques such as logistic regression, time series forecasting, hypothesis testing, ANOVA, and factor analysis using both SPSS and Stata platforms. Whether you are analyzing health data, financial metrics, or survey responses, this course provides the analytical edge to uncover meaningful patterns, trends, and actionable insights.

Programme Curriculum

Quantitative Data Analysis Software Advanced Training Course

Introduction

Training Objectives

Understand the advanced functionalities of SPSS and Stata.
Apply descriptive and inferential statistics on real-world datasets.
Execute regression models including linear, logistic, and multilevel modeling.
Use SPSS and Stata for data cleaning, transformation, and management.
Conduct time series and forecasting analyses.
Analyze variance through ANOVA and MANOVA techniques.
Perform factor analysis and principal component analysis (PCA).
Automate repetitive tasks using syntax (SPSS) and do-files (Stata).
Visualize data using built-in graphical tools and custom plotting.
Generate and export comprehensive reports in multiple formats.
Interpret output for academic and professional dissemination.
Develop reproducible workflows for collaborative research projects.
Integrate data analysis techniques in evidence-based decision making.

Target Audiences

Academic researchers and postgraduate students
Data analysts and data scientists
Government statisticians and policy analysts
Monitoring and evaluation professionals
Health and epidemiology researchers
Financial and economic analysts
NGO and international development practitioners
Business intelligence professionals

Course Duration: 5 days

Course Modules

Module 1: Introduction to SPSS and Stata for Advanced Users

Overview of SPSS and Stata interfaces
Setting up projects and managing datasets
Importing, exporting, and transforming data
Introduction to syntax (SPSS) and do-files (Stata)
Navigating output windows and customizing results
Case Study: Managing and preparing a large health survey dataset

Module 2: Descriptive and Exploratory Data Analysis

Frequencies, crosstabs, and descriptive stats
Data visualization: histograms, boxplots, scatterplots
Exploring distributions and detecting outliers
Normality testing and data transformation
Comparing groups using mean differences
Case Study: Socioeconomic indicators from a regional census

Module 3: Inferential Statistics and Hypothesis Testing

Parametric and non-parametric tests
Chi-square, t-tests, and correlation
Confidence intervals and effect sizes
Post-hoc analysis and interpretation
Statistical significance vs. practical significance
Case Study: Testing intervention effectiveness in education

Module 4: Regression Modeling Techniques

Simple and multiple linear regression
Logistic regression (binary and multinomial)
Assessing model fit and assumptions
Interaction terms and dummy variables
Interpreting coefficients and outputs
Case Study: Predicting household expenditure using survey data

Module 5: Multivariate Analysis

MANOVA, MANCOVA, and discriminant analysis
Principal Component Analysis (PCA)
Factor extraction and rotation methods
Clustering and classification techniques
Model validation and diagnostics
Case Study: Reducing survey items using PCA in public health research

Module 6: Time Series and Forecasting

Time series components and decomposition
Autocorrelation and stationarity tests
ARIMA modeling and forecasting
Trend analysis using moving averages
Seasonal adjustments and predictions
Case Study: Forecasting inflation trends using macroeconomic data

Module 7: Automation and Advanced Scripting

Writing and executing syntax scripts in SPSS
Automating analysis with Stata do-files
Creating custom templates and macros
Looping and conditional statements
Efficient workflow documentation
Case Study: Automating monthly reports for NGO program evaluation

Module 8: Reporting and Data Presentation

Exporting tables, graphs, and results
Customizing charts and visual reports
Interpreting statistical outputs for stakeholders
Creating reproducible reports for publication
Ethics in data reporting and visualization
Case Study: Reporting clinical trial results to stakeholders

Training Methodology

Interactive lectures and demonstrations
Hands-on exercises using real-world datasets
Group discussions and knowledge-sharing
Individualized mentorship and feedback
Assignments and project-based assessments

Register as a group from 3 participants for a Discount

Send us an email: info@fineskilltrainingcenter.org or call +254769199797

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to Fineskill Training Center account, as indicated in the invoice so as to enable us prepare better for you.

Skills & Software Covered

Quantitative analytics SPSS/Stata statistical modeling

Programme Fee

Duration: 5 Days

Method: Online or Physical

Online Price: $1,000

Physical Price: $1,500

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Oct 19 2026

19 Oct — 23 Oct 2026

💻 Online / Virtual session

Online $1,000