Professional Course in Data Capture
Traditional training – (5 days, R9,800.00 excl. VAT)
Online training – (5 weeks, R7,500.00 excl. VAT)
About This Course
All organisations – including research, teaching, profit, governmental and non-governmental organisations – use data to improve the quality of their work and service. Research and development are central to providing quality outputs, and data is the most important component of that process. The quality of research findings, services offered and development that ensues depends of the quality of data used.
While many organisations spend resources in hiring and training data analysts and senior researchers, the same cannot be said about junior staff that collect and capture the data. This is mostly because there are no organisations in South Africa that offer formalised training in data capture. Yet the quality of analysis and research findings depends on the quality of data analysed. The Centre for Statistical Analysis and Research (CESAR) is filling this gap by creating a short Data Capturer Course.
Course Content
Traditional Course Content
Day 1
- What is a variable?
- Types of variables
- What is an observation?
- From observations to dataset?
- Why collect data?
- How data affect our lives
- Practical group exercise on real life examples on how data have
- Introduction to paper questionnaires/forms/tools
- Understanding logical sequence and skip patterns
Day 2
- Understanding database systems; overview
- Database components: forms, programmes and tables
- Creating a small database in Ona
- Capture few records in Ona
- Practical session
Day 3
- Ethical principles regarding data
- Data capturer’s professional conduct
- Examples of misconduct
- Data capture skills
- Speed typing
- Navigating records and user interaction
- Practical session
Day 4
- Practical data capture in Ona
- Double data capture
- Understanding data quality
- Components of data quality
- Data verification
- Data quality SOP and reporting lines
- Keeping data quality logs
Day 5
- Saving the captured data
- Basic analysis: means and percentages
- Generating reports
- Exporting data
- Storing the paper questionnaire/forms/tools.
Online Course Content
Week 1
- What is a variable?
- Types of variables
- What is an observation?
- From observations to dataset?
- Why collect data?
- How data affect our lives
- Practical group exercise on real life examples on how data have
- Introduction to paper questionnaires/forms/tools
- Understanding logical sequence and skip patterns
Week 2
- Understanding database systems; overview
- Database components: forms, programmes and tables
- Creating a small database in Ona
- Capture few records in Ona
- Practical session
Week 3
- Ethical principles regarding data
- Data capturer’s professional conduct
- Examples of misconduct
- Data capture skills
- Speed typing
- Navigating records and user interaction
- Practical session
Week 4
- Practical data capture in Ona
- Double data capture
- Understanding data quality
- Components of data quality
- Data verification
- Data quality SOP and reporting lines
- Keeping data quality logs
Week 5
- Saving the captured data
- Basic analysis: means and percentages
- Generating reports
- Exporting data
- Storing the paper questionnaire/forms/tools.
Course outcomes
The course will teach participants the following:
The meaning of data; from observations to datasets
Understanding database systems
Learning to create and capture records in a small database in Ona
Navigate records and user interaction
How to verify the quality of captured data
Data quality SOP and reporting lines
Store paper questionnaire/forms/tools
Professionalism, data handling and ethics
This course will include a fine blend of theory, group practical sessions and assignments. It is a course all data capturers and data professionals should attend.
Who Should Attend?
- Data capturers
- Personal assistants
- Field workers
- Call centre agents
- Researchers
Application
For more details about our services contact:
Dave Temane
Email: info@cesar-africa.com
Tel: +27 11 403 1411
Price Includes
- Course attendance
- Full refreshments: lunch
- Welcome tea
- Two breaks for tea including pastries
- Course lecture notes and training manual
- Complimentary parking
- Certificate of attendance
