// //

What You'll Learn

Learn research design, data management, and statistical analysis with Stata. Gain the skills to conduct rigorous research, analyze data effectively, and draw meaningful conclusions.

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 10-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 Research Design, Data Management and Statistical Analysis using Stata - Course Cover Image
Duration 10 Days
Level Intermediate
Format In-Person

Course Overview

Featured

This comprehensive course provides participants with the necessary skills and knowledge to effectively design research studies, manage data, and perform statistical analysis using Stata. Participants will gain hands-on experience with Stata, one of the leading statistical software packages used in research across various disciplines. The course covers the entire research process, from formulating research questions and designing studies to managing data and conducting advanced statistical analyses.

Course Duration

10 Days

Who Should Attend

  • Researchers and academics looking to enhance their data analysis skills
  • Graduate students in social sciences, health sciences, economics, and related fields
  • Data analysts and statisticians in public and private sectors
  • Professionals involved in research projects who need to manage and analyze data effectively

Course Impact

Organizational Impact

  • Strengthen research integrity and credibility by standardizing best practices in design and statistical analysis.

  • Improve efficiency and accuracy of data analysis, reducing time and costs of research projects.

  • Foster a data-literate culture to uncover insights and support evidence-based decision-making.

Personal Impact

  • Gain in-demand skills essential for careers in research and data analysis.

  • Progress toward senior research, principal investigator, or data stewardship roles.

  • Contribute to research quality and impact by producing reliable, valid findings.

  • Build confidence and authority to lead and manage complex research projects.

Course Objectives

By the end of this course, participants will:

  • Understand and appropriately use statistical terms and concepts
  • Design and implement universally acceptable research
  • Develop of functional research protocol
  • Design both quantitative and qualitative data collection tools
  • Perform data analysis tasks with Stata
  • Perform simple to complex data management tasks using software
  • Statistical tests using Stata software
  • Writing reports from survey data

Course Outline

Introduction to research

  • Introduction to research
  • Different types of research
  • Formulation of research problem statement
  • Formulation of research hypothesis

Overview of Evaluation

  • Evaluation Objectives
  • Evaluation Criteria
  • Evaluation Questions

Research Design

  • Quantitative Research Approaches
  • Qualitative Research Approaches

Sampling

  • Sampling Techniques
  • Sample size determination

Data Collection Methods in Research

  • Quantitative data collection methods
  • Qualitative data collection
  • Creating an evaluation framework

Data Collection tools in Research

  • Survey Questionnaire design
  • FGD guide design
  • KII guide design

Developing Research Protocol

  • What is a research protocol?
  • Basic concepts of a research protocol
  • Structure of a research protocol

Mobile Data Collection and Processing (ODK)

  • Introduction to mobile data gathering
  • Design of survey forms using ODK build and XLSForm
  • Use ODK collect to gather data
  • Use ODK aggregate to upload data to the server
  • Work with spatial data (GPS coordinates)

Data Processing

  • Data coding
  • Data capture
  • Data editing
  • Data imputation
  • Treatment of outliers

Introduction to Stata statistical software

  • Stata interface and features
  • Key terminologies used in Stata
  • Views: Variable, Data views, Syntax editor
  • Data file preparation
  • Data entry into Stata
  • Data manipulation: merge files, spit files, sorting files, missing values

Basic Statistics using Stata

  • Descriptive statistics for numeric variables
  • Frequency tables
  • Distribution and relationship of variables
  • Cross tabulations of categorical variables
  • Stub and Banner Tables

Graphics using Stata

  • Introduction to graphs in Stata
  • Graph commands in Stata
  • Different types of Graphs in Stata

Statistical Tests using Stata

  • One Sample T Test
  • Independent Samples T Test
  • Paired Samples T Test
  • One-Way ANOVA

Statistical Associations in Stata

  • Chi-Square test
  • Pearson’s Correlation
  • Spearman’s Rank-Order Correlation

Predictive Models using Stata

  • Linear Regression
  • Multiple Regression
  • Logistic Regression
  • Ordinal Regression

Longitudinal Analysis using Stata

  • Features of Longitudinal Data
  • Exploring Longitudinal data
  • Longitudinal analysis for continuous outcomes

Qualitative Data Analysis using NVivo

  • Introduction to NVivo
  • NVivo workspace
  • Uploading qualitative data into NVivo
  • Coding and making nodes
  • Use of queries
  • Project visualization

Survey Report writing and Dissemination

  • Survey report format
  • Survey report content
  • Survey findings dissemination
  • Use of survey findings for decision making

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 - 16 Jan 2026 10 days Nairobi, Kenya KES 198,000 | USD 2,800 Enroll Now
5 Jan - 16 Jan 2026 10 days Cape Town, South Africa USD 7,500 Enroll Now
5 Jan - 16 Jan 2026 10 days Dubai, United Arabs Emirates USD 8,000 Enroll Now
5 Jan - 16 Jan 2026 10 days Zanzibar, Tanzania USD 4,400 Enroll Now
12 Jan - 23 Jan 2026 10 days Mombasa, Kenya KES 230,000 | USD 3,000 Enroll Now
12 Jan - 23 Jan 2026 10 days Kigali, Rwanda USD 3,800 Enroll Now
12 Jan - 23 Jan 2026 10 days Accra, Ghana USD 7,200 Enroll Now
12 Jan - 23 Jan 2026 10 days Kampala, Uganda USD 3,800 Enroll Now
19 Jan - 30 Jan 2026 10 days Dar es Salaam, Tanzania USD 4,300 Enroll Now
19 Jan - 30 Jan 2026 10 days Johannesburg, South Africa USD 6,500 Enroll Now
19 Jan - 30 Jan 2026 10 days Nakuru, Kenya KES 210,000 | USD 2,800 Enroll Now
19 Jan - 30 Jan 2026 10 days Dakar, Senegal USD 6,000 Enroll Now
26 Jan - 6 Feb 2026 10 days Pretoria, South Africa USD 6,300 Enroll Now
26 Jan - 6 Feb 2026 10 days Kisumu, Kenya KES 210,000 | USD 3,000 Enroll Now
26 Jan - 6 Feb 2026 10 days Naivasha, Kenya KES 210,000 | USD 2,800 Enroll Now
26 Jan - 6 Feb 2026 10 days Arusha, Tanzania USD 4,300 Enroll Now
5 Jan - 16 Jan 2026
10 days
Venue:
Nairobi, Kenya
Fee (VAT Incl.):
KES 198,000
USD 2,800
Enroll Now
5 Jan - 16 Jan 2026
10 days
Venue:
Cape Town, South Africa
Fee (VAT Incl.):
USD 7,500
Enroll Now
5 Jan - 16 Jan 2026
10 days
Venue:
Dubai, United Arabs Emirates
Fee (VAT Incl.):
USD 8,000
Enroll Now
5 Jan - 16 Jan 2026
10 days
Venue:
Zanzibar, Tanzania
Fee (VAT Incl.):
USD 4,400
Enroll Now
12 Jan - 23 Jan 2026
10 days
Venue:
Mombasa, Kenya
Fee (VAT Incl.):
KES 230,000
USD 3,000
Enroll Now
12 Jan - 23 Jan 2026
10 days
Venue:
Kigali, Rwanda
Fee (VAT Incl.):
USD 3,800
Enroll Now
12 Jan - 23 Jan 2026
10 days
Venue:
Accra, Ghana
Fee (VAT Incl.):
USD 7,200
Enroll Now
12 Jan - 23 Jan 2026
10 days
Venue:
Kampala, Uganda
Fee (VAT Incl.):
USD 3,800
Enroll Now
19 Jan - 30 Jan 2026
10 days
Venue:
Dar es Salaam, Tanzania
Fee (VAT Incl.):
USD 4,300
Enroll Now
19 Jan - 30 Jan 2026
10 days
Venue:
Johannesburg, South Africa
Fee (VAT Incl.):
USD 6,500
Enroll Now
19 Jan - 30 Jan 2026
10 days
Venue:
Nakuru, Kenya
Fee (VAT Incl.):
KES 210,000
USD 2,800
Enroll Now
19 Jan - 30 Jan 2026
10 days
Venue:
Dakar, Senegal
Fee (VAT Incl.):
USD 6,000
Enroll Now
26 Jan - 6 Feb 2026
10 days
Venue:
Pretoria, South Africa
Fee (VAT Incl.):
USD 6,300
Enroll Now
26 Jan - 6 Feb 2026
10 days
Venue:
Kisumu, Kenya
Fee (VAT Incl.):
KES 210,000
USD 3,000
Enroll Now
26 Jan - 6 Feb 2026
10 days
Venue:
Naivasha, Kenya
Fee (VAT Incl.):
KES 210,000
USD 2,800
Enroll Now
26 Jan - 6 Feb 2026
10 days
Venue:
Arusha, Tanzania
Fee (VAT Incl.):
USD 4,300
Enroll Now

Request Custom Training


We offer customized training solutions tailored to your organization's specific needs:

  • 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
Limited Time
Early-bird Offer

Special pricing ends in:

-- Days
-- Hours
-- Mins
-- Secs
Recent Activity

Frequently Asked Questions

Find answers to common questions about this course

The goal is to provide a complete guide to the research process, from designing your study to managing your data and performing statistical analysis, all within the Stata environment.
Stata is an integrated software package for data analysis, data management, and graphics. Its command-line interface ensures reproducibility and is popular in economics and public health.
You'll learn how to formulate research questions, identify appropriate study designs, and understand the fundamentals of sampling and measurement to ensure your research is rigorous.
You'll master Stata's commands for data cleaning, merging datasets, and creating new variables, which are crucial for preparing your data for accurate analysis.
The training covers descriptive statistics, hypothesis testing, and regression analysis (e.g., OLS, logistic regression) to help you draw meaningful and robust conclusions from your data.
Training on Research Design, Data Management and Statistical Analysis using Stata

Next class starts 5 Jan 2026

Secure Your Spot
Only 5 seats remaining!
1
Ideal Workplace Solutions
Ideal Workplace Solutions
Typically replies instantly

Hi there! šŸ‘‹

How can we help you today? Are you looking for information about our training courses?

Just now