Call for registration: Professional training in Data Management Training
(Questionnaire programming using Kobo toolbox & data analysis using STATA)
Duration: 3 weeks (Weekend Program)
Venue: UR-CST, Nyarugenge Campus former KIST.
Mode: Physical and Virtual Participation Available
Investment Fee: 50,000 RWF
Dates: 10th – 25th January 2026
Time: 09:00 AM – 17:00 PM
Certification: Certificates of Merit Awarded after successful completion of the program
Registration link:https://dataplusrwanda.com/courses/apply/data-management-
1. Background and Rationale
Data is now fundamental to decision-making in all industries, fueling business growth, policy formulation, research innovation, and more. However, efficient data management necessitates more than just access to data, but also the ability to organize, analyze, and safeguard it. Data management is no longer simply the responsibility of IT departments; everyone must handle data efficiently. Data management skills have become essential for workers in a variety of industries, including healthcare, government, education, finance and technology. Data management plays an important role in improving productivity, lowering operating costs, and improving overall decision-making processes.
Data management involves a wide range of activities, including data collection, storage, security, analysis, and visualization. As organizations and institutions generate and rely on more data, there is a greater demand for qualified individuals capable of handling, managing, and analyzing huge information effectively and securely.
DATA+ Rwanda is well known for delivering high-quality quality competitive professional courses on project management, data science, and artificial intelligence. This course in January 2026 focuses on data management using industry-standard technologies such as Kobo Toolbox and STATA, allowing professionals to learn crucial skills in handling and analyzing data effectively workshop is designed to provide participants with practical, hands-on experience that can be directly applied to their careers.
2. Training Objectives
The main objective of this training is to provide participants with practical, hands-on data management skills that they can apply immediately in their careers or professional practices. By the end of the training, participants should be able to:
- Understand the core principles of data management, including data organization, storage, and security.
- Create advanced data collection tools using XLS forms for KoboToolbox for Computer Assisted Personal Interviews (CAPI).
- Analyze complex datasets with STATA, including data cleaning, transformation, and statistical analysis.
- Gain a thorough understanding of data quality and how to ensure that data is accurate, complete, and usable.
- Learn how to manage large datasets, ensuring that they are properly stored, documented, and accessible.
- Implement ethical and secure data management practices, ensuring compliance with privacy standards.
The training is 70% practical, ensuring that participants engage directly with the tools and techniques that they will use in their careers.
3. People who can participate
The training is designed for professionals and students from all fields, industries, and levels of experience who are keen on improving their data management skills. Whether you’re a novice looking to enter the field or a seasoned professional seeking to enhance your current capabilities, this training is suited for anyone interested in advancing their data management proficiency.
These include:
- Professionals in research and academia who need to manage and analyze data for publications and research projects.
- Government and non-governmental organization workers involved in monitoring and evaluation or program management who need strong data management capabilities.
- Private sector professionals in industries such as healthcare, finance, and technology, where large datasets need to be analyzed and managed.
- Students pursuing careers in data science, data analysis, project management, or similar fields.
- Anyone who is passionate about data and wants to leverage it for better decision-making.
4. Core Components of the Training
The training will cover three core components of data management, ensuring that participants gain comprehensive knowledge and practical experience in each area.
1. Questionnaire Programming using KoboToolbox
KoboToolbox is one of the leading platforms for data collection, particularly in the development sector. It allows for the creation of robust data collection forms that can be used for surveys, assessments, and research in any environment.
- Introduction to KoboToolbox: A deep dive into the tool’s capabilities for field data collection.
- Creating advanced XLS Data Collection Forms: How to design, implement, and test forms using the KoboToolbox interface.
- Data Validation: Ensuring the integrity and consistency of data collected via forms.
- Field Data Management: Using KoboToolbox to track data in real-time and manage remote data collection in challenging environments.
- Integration with other tools: Techniques for integrating KoboToolbox with external databases or analysis tools.
2. Data Analysis using STATA
STATA is a powerful software tool for data analysis, widely used in social sciences, economics, and public health. This part of the training will focus on key functions of STATA, including data cleaning, analysis, and interpretation.
- Introduction to STATA: Understanding STATA’s interface and basic commands.
- Data Cleaning: Techniques for importing, cleaning, and transforming data into analysis-ready formats.
- Statistical Analysis: Running descriptive statistics, hypothesis tests, regressions, and advanced statistical models using STATA.
- Data Visualization: Creating informative and visually appealing graphs and charts to communicate results.
- Managing Large Datasets: Efficiently handling large datasets, including techniques for merging, reshaping, and summarizing data.
3. General Data Management Principles
Beyond tools, data management encompasses principles and best practices that ensure data is organized, secure, and accessible.
- Data Organization: Structuring data in ways that make it easy to find, retrieve, and use.
- Data Security and Ethics: Best practices for ensuring data privacy, security, and compliance with regulations.
- Documenting Data: Using metadata to ensure that data can be understood and used effectively by others.
- Collaboration Tools: Techniques for sharing data between teams and stakeholders securely.
6. Capstone Projects and Certification
After the training, participants will work on capstone projects, which serve as a demonstration of their newly acquired skills. These projects will allow them to apply everything they’ve learned in a real-world context.
Key aspects of the capstone projects:
- Comprehensive Application: Projects will require participants to use both KoboToolbox and STATA, showcasing their ability to manage and analyze data effectively.
- Evaluation: The projects will be evaluated based on the quality of data management practices, the correctness of analysis, and the clarity of conclusions.
- Certification: Participants who score 65% or higher will receive a certificate of merit, validating their proficiency in data management, KoboToolbox, and STATA.
7. Lead Trainer’s Profile
An experienced professional who will lead the training has a master’s degree in data science. He is a certified Big Data Analyst by the American Data Science Society. Currently a PhD candidate in Statistics, the trainer brings a strong academic foundation and extensive experience as a consultant to national and international organizations. With a proven track record in providing practical, hands-on training, the trainer is well-equipped to guide participants in mastering data management and analysis techniques.
8. Registration and Fees
- Investment Fee: 50,000 RWF
- Payment mode: Equity Bank: 4002200779105
- DATA+ Consultant ltd. MOMO pay code*182*8*1*92570
- Registration & Payment Deadline: 5th January 2026
- Registration link: https://dataplusrwanda.com/courses/apply/data-management-
Participants will receive training materials via DATA+ Learning Management system, both during the training and for future reference.
9. Post-Training Community
Upon completion, participants will join a growing community of data management professionals. This community will serve as a valuable resource for peer learning, mentorship, and networking opportunities. Participants will remain connected through the DATA+ Professionals network, ensuring ongoing professional development long after the training concludes.
This training represents a unique opportunity to gain practical, hands-on data management skills that can be applied immediately in the workplace. With expert instruction, a practical curriculum, and an emphasis on real-world application, participants will be equipped to handle data challenges effectively and confidently. Whether you’re looking to enhance your career or improve organizational processes, this training will provide you with the tools and knowledge needed for success.
For inquiries and registration, contact:
- Email: info@dataplusrwanda.com
- Phone: +250784857317
- Location: 3rd floor, Ubumwe House, KG 5 Kimihurura Ave, Kigali, Rwanda.
Karara Benon
CEO, DATA+ Rwanda
09th December 2026
