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What You'll Learn

Master quantitative data analysis with Stata. Learn to analyze large datasets, conduct statistical tests, and create insightful visualizations.

Course Benefits
Industry Certification

Internationally recognized qualification

Expert Instructors

Learn from industry professionals

Dedicated Support

Assistance during and after training

Practical Skills

Apply knowledge immediately

Comprehensive 5-day curriculum with all materials included
Hands-on exercises and real-world case studies
Valuable networking opportunities with peers and experts
Post-course resources and refresher materials
Training on Quantitative Data Analysis with Stata - Course Cover Image
Duration 5 Days
Level Intermediate
Format In-Person

Course Overview

Featured

This intensive 5-day course provides a comprehensive introduction to quantitative data analysis using Stata. It is designed to equip participants with the skills necessary to manage, analyze, and interpret quantitative data efficiently. The course covers the fundamentals of data management, statistical analysis, and the practical application of Stata for real-world data analysis tasks.

Course Duration

5 Days

Who Should Attend

  • Researchers and academics in social sciences, economics, public health, and related fields
  • Data analysts and statisticians seeking to enhance their data analysis skills
  • Graduate students and postgraduate researchers who need to conduct quantitative research
  • Professionals in governmental and non-governmental organizations involved in data-driven decision-making

Course Impact

Organizational Impact

  • Improve the integrity and credibility of data-driven decisions through rigorous statistical analysis.

  • Increase operational efficiency by reducing time spent on manual analysis and report generation.

  • Foster a data-literate culture to uncover insights and make evidence-based decisions.

Personal Impact

  • Gain in-demand skills for careers in data analysis, research, or data stewardship.

  • Advance into senior analytical or research roles.

  • Ensure work quality and impact by producing reliable, valid findings.

  • Build confidence to lead and manage complex quantitative projects.

Course Objectives

By the end of this course, participants will:

  • To understand the principles of quantitative data analysis
  • To learn the basics of data management and manipulation in Stata
  • To perform descriptive and inferential statistical analyses using Stata
  • To interpret and present statistical results effectively
  • To apply Stata for real-world data analysis problems

Course Outline

Module 1: Introduction to Stata and Data Management

  • Overview of Stata interface and functionalities
  • Importing and exporting data
  • Data cleaning and preparation
  • Creating and managing variables
  • Generating descriptive statistics and summary tables

Module 2: Data Exploration and Visualization

  • Data exploration techniques
  • Creating basic and advanced graphs
  • Visualizing distributions and relationships between variables
  • Customizing and exporting graphics for reports

Module 3: Descriptive Statistics and Basic Statistical Tests

  • Measures of central tendency and variability
  • Cross-tabulations and chi-square tests
  • T-tests and ANOVA
  • Non-parametric tests

Module 4: Regression Analysis

  • Simple and multiple linear regression
  • Assumption checking and diagnostics
  • Logistic regression for binary outcomes
  • Interpreting regression outputs

Module 5: Advanced Statistical Techniques and Reporting

  • Time series analysis
  • Panel data analysis
  • Multivariate analysis (e.g., factor analysis, cluster analysis)
  • Preparing data analysis reports
  • Best practices for presenting statistical results

Prerequisites

No specific prerequisites required. This course is suitable for beginners and professionals alike.

Course Administration Details

Customized Training

This training can be tailored to your institution needs and delivered at a location of your choice upon request.

Requirements

Participants need to be proficient in English.

Training Fee

The fee covers tuition, training materials, refreshments, lunch, and study visits. Participants are responsible for their own travel, visa, insurance, and personal expenses.

Certification

Upon successful completion of this course, participants will be issued with a certificate from Ideal Workplace Solutions certified by the National Industrial Training Authority (NITA) under License NO: NITA/TRN/2734.

Accommodation

Accommodation can be arranged upon request. Contact via email for reservations.

Payment

Payment should be made before the training starts, with proof of payment sent to outreach@idealworkplacesolutions.org.

For further inquiries, please contact us on details below:

Register for the Course

Select a date and location that works for you.

In-Person Training Schedules


January 2026
Date Days Venue Fee (VAT Incl.) Register
5 Jan - 9 Jan 2026 5 days Nairobi, Kenya KES 99,000 | USD 1,400 Enroll Now
5 Jan - 9 Jan 2026 5 days Cape Town, South Africa USD 3,500 Enroll Now
5 Jan - 9 Jan 2026 5 days Dubai, United Arabs Emirates USD 4,000 Enroll Now
5 Jan - 9 Jan 2026 5 days Zanzibar, Tanzania USD 2,200 Enroll Now
12 Jan - 16 Jan 2026 5 days Mombasa, Kenya KES 115,000 | USD 1,500 Enroll Now
12 Jan - 16 Jan 2026 5 days Kigali, Rwanda USD 1,800 Enroll Now
12 Jan - 16 Jan 2026 5 days Accra, Ghana USD 5,950 Enroll Now
12 Jan - 16 Jan 2026 5 days Kampala, Uganda USD 2,200 Enroll Now
19 Jan - 23 Jan 2026 5 days Dar es Salaam, Tanzania USD 2,000 Enroll Now
19 Jan - 23 Jan 2026 5 days Johannesburg, South Africa USD 3,100 Enroll Now
19 Jan - 23 Jan 2026 5 days Nakuru, Kenya KES 105,000 | USD 1,400 Enroll Now
19 Jan - 23 Jan 2026 5 days Dakar, Senegal USD 3,500 Enroll Now
26 Jan - 30 Jan 2026 5 days Pretoria, South Africa USD 3,100 Enroll Now
26 Jan - 30 Jan 2026 5 days Kisumu, Kenya KES 105,000 | USD 1,500 Enroll Now
26 Jan - 30 Jan 2026 5 days Naivasha, Kenya KES 105,000 | USD 1,400 Enroll Now
26 Jan - 30 Jan 2026 5 days Arusha, Tanzania USD 2,000 Enroll Now
5 Jan - 9 Jan 2026
5 days
Venue:
Nairobi, Kenya
Fee (VAT Incl.):
KES 99,000
USD 1,400
Enroll Now
5 Jan - 9 Jan 2026
5 days
Venue:
Cape Town, South Africa
Fee (VAT Incl.):
USD 3,500
Enroll Now
5 Jan - 9 Jan 2026
5 days
Venue:
Dubai, United Arabs Emirates
Fee (VAT Incl.):
USD 4,000
Enroll Now
5 Jan - 9 Jan 2026
5 days
Venue:
Zanzibar, Tanzania
Fee (VAT Incl.):
USD 2,200
Enroll Now
12 Jan - 16 Jan 2026
5 days
Venue:
Mombasa, Kenya
Fee (VAT Incl.):
KES 115,000
USD 1,500
Enroll Now
12 Jan - 16 Jan 2026
5 days
Venue:
Kigali, Rwanda
Fee (VAT Incl.):
USD 1,800
Enroll Now
12 Jan - 16 Jan 2026
5 days
Venue:
Accra, Ghana
Fee (VAT Incl.):
USD 5,950
Enroll Now
12 Jan - 16 Jan 2026
5 days
Venue:
Kampala, Uganda
Fee (VAT Incl.):
USD 2,200
Enroll Now
19 Jan - 23 Jan 2026
5 days
Venue:
Dar es Salaam, Tanzania
Fee (VAT Incl.):
USD 2,000
Enroll Now
19 Jan - 23 Jan 2026
5 days
Venue:
Johannesburg, South Africa
Fee (VAT Incl.):
USD 3,100
Enroll Now
19 Jan - 23 Jan 2026
5 days
Venue:
Nakuru, Kenya
Fee (VAT Incl.):
KES 105,000
USD 1,400
Enroll Now
19 Jan - 23 Jan 2026
5 days
Venue:
Dakar, Senegal
Fee (VAT Incl.):
USD 3,500
Enroll Now
26 Jan - 30 Jan 2026
5 days
Venue:
Pretoria, South Africa
Fee (VAT Incl.):
USD 3,100
Enroll Now
26 Jan - 30 Jan 2026
5 days
Venue:
Kisumu, Kenya
Fee (VAT Incl.):
KES 105,000
USD 1,500
Enroll Now
26 Jan - 30 Jan 2026
5 days
Venue:
Naivasha, Kenya
Fee (VAT Incl.):
KES 105,000
USD 1,400
Enroll Now
26 Jan - 30 Jan 2026
5 days
Venue:
Arusha, Tanzania
Fee (VAT Incl.):
USD 2,000
Enroll Now

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  • Training at your preferred location
  • Customized content to address your specific challenges
  • Flexible scheduling to accommodate your team
  • Cost-effective solution for training multiple employees
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Frequently Asked Questions

Find answers to common questions about this course

The goal is to equip you with the skills to use Stata for the entire quantitative data analysis process, from data management and cleaning to performing statistical tests and interpreting the results.
Stata is widely used in research and offers a powerful, integrated environment for statistical analysis. Its commands are easy to learn, and it provides excellent data visualization.
You'll learn to perform descriptive statistics, hypothesis testing (t-tests, Chi-squared), and build regression models (linear, logistic) to draw meaningful conclusions from your data.
You'll master Stata's commands for importing, cleaning, and transforming data, as well as for merging multiple datasets, which are essential steps for any quantitative project.
The training focuses on interpreting statistical output, creating professional graphs and tables, and reporting your findings in a clear and concise manner for research papers or reports.
Training on Quantitative Data Analysis with Stata

Next class starts 5 Jan 2026

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