Training Course in Data Collection and Management Using CSPro Desktop
The Data Collection and Management with CSPro Desktop Training Course is a program designed for researchers, statisticians, data analysts, and survey professionals to efficiently collect, manage, and process structured survey and census data.
Course Overview
| Course Title | Training Course in Data Collection and Management Using CSPro Desktop |
| Organization | Tech For Development (T4D) |
| Venue | Tech For Development (T4D) Training Center along Tala Road, Runda, Nairobi |
| Target Industries |
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| Target Job Roles |
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| Course Fees (Face-to-Face) | USD 1,100/KES 75,000 (Exclusive of VAT) |
| Course Fees (Virtual) | TBA |
| Training Modes | Virtual and face-to-face training |
| Payment | Payment should be made to the Tech For Development (T4D) bank account on or before the start of the course |
| Accreditation | Tech For Development Certificate of Course Completion |
The Data Collection and Management with CSPro Desktop Training Course is a program designed for researchers, statisticians, data analysts, and survey professionals to efficiently collect, manage, and process structured survey and census data.
Participants gain hands-on experience with CSPro Desktop, learning to:
- Design data entry applications
- Develop data dictionaries
- Implement validation rules
- Perform advanced data cleaning and management
The course also covers CSPro scripting/logic for automating data processing tasks, ensuring data integrity, and preparing datasets for downstream analysis in software like SPSS, Stata, or MS Excel.
Through real-world examples and exercises, participants develop the ability to handle large-scale hierarchical datasets, implement quality assurance protocols, and produce reliable, analysis-ready datasets.
The training emphasizes practical, hands-on learning, preparing participants to streamline data collection, entry, cleaning, and management workflows for research, surveys, or census projects.
Duration
5 days
Who Should Attend This Course?
- Data managers
- Statisticians
- Researchers
- Data analysts
- IT professionals in data management roles
What are the Key Skills from This Course?
- CSPro data entry application design
- Data dictionary development and management
- Data validation and cleaning
- Handling hierarchical and complex datasets
- CSPro logic and scripting for automation
- Data export and preparation for analysis
Course Objectives
By the end of this training course, participants will be able to:
- Understand advanced data processing techniques in CSPro Desktop
- Apply best practices for data validation and management
- Integrate Dataverse software for data sharing and archiving
- Develop skills to handle complex datasets and ensure data quality
Course Requirements
• Proficiency in English
• Basic computer literacy
• Familiarity with the data ecosystem
Training Approaches
• Interactive lectures
• Live demonstrations
• Hands-on exercises
• Group discussions
• Real-world case studies
• Knowledge checks and quizzes
• Collaborative group work
Course Modules
Course Outline
Module I: Foundations & Data Entry Setup with CSPro Desktop
- Introduction to CSPro: overview of capabilities, interface, and key concepts
- Creating data dictionaries and defining variables/coding structures
- Designing and building data-entry forms
- Preparing for data entry, structuring forms for surveys or censuses
- Hands-on Exercise: Build a functional, multi-level CSPro application
Module II: Data Entry & Basic Validation/Editing
- Running data-entry applications: data input, case creation, and data saving
- Implementing basic validation rules (checks, skips, constraints) to catch errors immediately during entry
- Performing initial data cleaning and verification, ensuring data consistency and completeness
- Hands-on Exercise: Reinforce standardization and consistency for variables across datasets
Module III: Data Cleaning & Management of Complex Datasets
- Advanced data cleaning methods: handling missing data, outliers, inconsistencies; automated error detection and correction logic
- Strategies for managing larger or hierarchical datasets (e.g., households, individuals, clusters)
- Basic export/import functions: exporting cleaned data to formats usable by statistical software (e.g., SPSS, Stata, Excel, etc.)
- Hands-on Exercise: Practice error detection and learn to enforce data integrity in real-time
Module IV: Automation & Scripting (CSPro Logic)
- Introduction to CSPro scripting/logic language: writing scripts for automated data processing tasks (e.g., skips, derived variables, conditional logic, error messages)
- Automating repetitive tasks: batch processing, automated validation, and data edits, which helps streamline cleaning and editing large datasets
- Debugging and troubleshooting scripts; managing common data processing issues
- Hands-on Exercise: Manage hierarchical data and ensure relational consistency
Module V: Analysis Preparation, Data Export, & Quality Assurance
- Preparing final dataset for analysis: verifying data integrity, structuring datasets appropriately
- Exporting data for analysis in external software, sharing, or archiving
- (Optional/Basic) Generating simple tables or summary statistics in CSPro
- Hands-on Exercise: Apply scripting to streamline repetitive tasks, enhance accuracy, and prepare data for downstream analysis
Course Administration
Methodology
This instructor-led training course is delivered using a blended learning approach comprising presentations, guided practical sessions, web-based tutorials, and group work.
Accreditation
Participants will receive a Tech For Development Certificate of Course Completion.
Training Venue
Held at the Tech For Development Training Centre.
Accommodation & Airport Transfer
Arranged upon request.
Email: letstalk@techfordevelopment.com
Phone: (+254) 790 824 179
Tailor-Made
Customised training available.
Payment
Send proof of payment to letstalk@techfordevelopment.com.
