Course Overview
The Census and Survey Processing System (CSPro) is a tool for entering, editing, tabulating and disseminating data from surveys and censuses. During this course, participants will be introduced to the features of the program that streamline the creation of dynamic and powerful applications. Participants will learn about ways to automate data processing tasks, creating a batch for message error, Creating then Dependent Verification Designing CAPI applications in CSPro for Android, and how to create advanced tables. Participants will also learn from each other about how other organizations handle data processing tasks. The CSPro programming language will be the primary focus of the workshop.
Duration
10 days
Target Audience
- Data managers
- Statisticians
- Researchers
- Data analysts
- IT professionals in data management roles
Organizational Impacts
- Improved data processing efficiency
- Enhanced data quality and accuracy
- Streamlined data management workflows
- Better compliance with data management standards
Personal Impacts
- Advanced technical skills in CSPro Desktop
- Proficiency in using Dataverse for data sharing
- Enhanced career prospects in data management and analysis
- Ability to manage and process large datasets effectively
Course Level:
Course Objectives
- 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 Outline
Module 1: Introduction to Advanced Data Processing in CSPro Desktop
- Overview of advanced features
- Data cleaning techniques
- Case Study: Implementing advanced data processing techniques in a real-world scenario.
Module 2: Data Validation Techniques and Tools
- Advanced validation rules
- Error detection and correction
- Case Study: Using validation tools to improve data accuracy in a large-scale survey.
Module 3: Managing Complex Datasets
- Strategies for handling large datasets
- Data organization and structure
- Case Study: Organizing complex datasets for an international research project.
Module 4: Automating Data Processing Tasks
- Automation features in CSPro
- Scripting for data management
- Case Study: Automating routine data processing tasks in a government survey.
Module 5: Integrating CSPro with Dataverse for Data Sharing
- Setting up Dataverse
- Uploading and managing datasets
- Case Study: Sharing data from a national census through Dataverse.
Module 6: Advanced Data Analysis Techniques
- Statistical analysis tools in CSPro
- Custom analysis methods
- Case Study: Performing advanced data analysis on health survey data.
Module 7: Ensuring Data Security and Privacy
- Data protection measures
- Privacy considerations in data management
- Case Study: Implementing data security measures in a sensitive research study.
Module 8: Data Archiving and Retrieval
- Archiving strategies in Dataverse
- Efficient data retrieval methods
- Case Study: Archiving historical data for a large-scale research project.
Module 9: Troubleshooting and Problem-Solving
- Common issues in data processing
- Troubleshooting techniques
- Case Study: Resolving data processing issues in a real-time survey.
Module 10: Case Study Presentation and Review
- Presentation of individual or group case studies
- Review and feedback
- Case Study: Comprehensive analysis and presentation of a complete data management project.
Related Courses
Course Administration Details:
Methodology
These instructor-led training sessions are delivered using a blended learning approach and include presentations, guided practical exercises, web-based tutorials, and group work. Our facilitators are seasoned industry experts with years of experience as professionals and trainers in these fields. All facilitation and course materials are offered in English. Participants should be reasonably proficient in the language.
Accreditation
Upon successful completion of this training, participants will be issued an Indepth Research Institute (IRES) certificate certified by the National Industrial Training Authority (NITA).
Training Venue
The training will be held at IRES Training Centre. The course fee covers the course tuition, training materials, two break refreshments, and lunch. All participants will additionally cater to their travel expenses, visa application, insurance, and other personal expenses.
Accommodation and Airport Transfer
Accommodation and Airport Transfer are arranged upon request. For reservations contact the Training Officer.
- Email: [email protected]
- Phone: +254715 077 817
Tailor-Made
This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our IRES Training Centre or at a convenient location. For further inquiries, please contact us on:
- Email: [email protected]
- Phone: +254715 077 817
Payment
Payment should be transferred to the IRES account through a bank on or before the start of the course. Send proof of payment to [email protected]
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