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NGO Management and Policy Development · MSD2739

Data Analysis Using Epi-Info

The Data Analysis Using Epi-Info course offered by Magna Skills is designed to provide participants with practical training in using Epi-Info software for epidemiological data analysis. Epi-Info is a free software package developed by the Centers for Disease Control and Prevention (CDC) for public health professionals to conduct data entry, management, and analysis. This course covers essential concepts, techniques, and tools for data analysis, including data entry, cleaning, manipulation, visualization, and interpretation using Epi-Info.

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Data Analysis Using Epi-Info
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$200 USD
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Course Outcomes

Expected learning outcomes

  1. Introduction to Epi-Info Software: Familiarize participants with the features, functions, and interface of Epi-Info software for data analysis.

  2. Data Entry and Management: Learn how to create data entry forms, import data from various sources, and manage datasets efficiently within Epi-Info.

  3. Data Cleaning and Quality Assurance: Develop skills in identifying and resolving data entry errors, inconsistencies, and missing values to ensure data quality and integrity.

  4. Descriptive Statistics and Data Visualization: Understand how to generate descriptive statistics, frequency distributions, and summary tables, and create graphs and charts to visualize data trends and patterns.

  5. Analytical Techniques: Explore advanced analytical techniques supported by Epi-Info, including cross-tabulation, chi-square tests, logistic regression, and survival analysis.

Curriculum

Course modules and outline

Module 1: Introduction to Epi-Info Software

  • Overview of Epi-Info software features and capabilities
  • Installation and setup of Epi-Info on Windows operating system

Module 2: Data Entry and Management

  • Creating data entry forms using Form Designer
  • Importing data from Excel, CSV, and other formats into Epi-Info

Module 3: Data Cleaning and Quality Assurance

  • Identifying and correcting data entry errors and inconsistencies
  • Performing data validation checks and data cleaning procedures

Module 4: Descriptive Statistics and Data Visualization

  • Generating descriptive statistics, frequency distributions, and summary measures
  • Creating graphs, charts, and tables to visualize data distributions and trends

Module 5: Analytical Techniques

  • Conducting basic statistical analyses, including cross-tabulation and chi-square tests
  • Introduction to advanced analytical techniques supported by Epi-Info, such as logistic regression and survival analysis

Module 6: Case Studies and Practical Exercises

  • Applying Epi-Info software to real-world data analysis tasks and scenarios
  • Hands-on exercises and case studies to reinforce learning and practice skills

Module 7: Data Interpretation and Reporting

  • Interpreting analytical results and drawing conclusions from data analysis
  • Communicating findings effectively through reports, presentations, and data summaries

Module 8: Quality Assurance and Best Practices

  • Implementing quality assurance measures and best practices in epidemiological data analysis
  • Documentation, version control, and data security considerations

Module 9: Advanced Topics in Epi-Info

  • Exploring additional features and functionalities of Epi-Info for specialized analyses
  • Customization options, scripting, and integration with other software tools

Module 10: Future Trends and Emerging Technologies

  • Overview of emerging trends and technologies in epidemiological data analysis
  • Opportunities and challenges in leveraging new tools and techniques for public health research and surveillance

The Data Analysis Using Epi-Info course equips participants with the knowledge and skills needed to conduct epidemiological data analysis effectively using Epi-Info software. Through a combination of theoretical learning, practical exercises, and case studies, participants will gain hands-on experience in data entry, cleaning, analysis, visualization, interpretation, and reporting, enabling them to contribute to evidence-based decision-making and public health research initiatives.

Target Audience

Who should attend?

  • Researchers
  • Data Collectors
  • Research Analysts
  • HODs
  • Clinicians
  • Programme Managers
  • Inspectors
  • Database Managers
  • Market Researchers
  • Clinical and Medical researchers
  • Scientists
Why Attend

Key course benefits

Practical capacity building approach
Designed for government, NGOs and public institutions
Real-world African case studies
Certificate of completion
Applicable tools and templates
Interactive facilitation and exercises
Course Enquiry

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