Learn how to set up your spreadsheets, clean your data, choose appropriate analyses, and conduct common descriptive statistics in Microsoft Excel.
This self-paced course offers best practices and step-by-step instructions for getting the most out of your data in Excel. The course’s instructional videos and examples using real datasets allow you to practice these new skills.
Course Objectives:
By the end of this course you will be able to:
Estimated time to complete: 10 hours
Prerequisites: Prior knowledge of evaluation and of descriptive statistics
Evaluation Competencies addressed: [ ] reflective; [x] technical; [ ] situational; [ ] management; [ ] interpersonal
Note: For all self-paced courses on the e-Institute, you will be granted access once payment is received in full. You then have three months to complete the course starting from the date access is granted.
300
This self-paced course covers all aspects of qualitative data analysis including creating an analytic framework, creating a codebook, coding data, selecting software to analyze qualitative data, increasing the trustworthiness of the analysis, and presenting qualitative data in reports.
Interventions are becoming increasingly complex as designers adopt holistic approaches to solving social problems. This course covers how to know whether a systems approach is right for the intervention you are evaluating, define the complex intervention for evaluation purposes, and evaluate its interdependencies and emergent properties.