Analyzing Data & Drawing Conclusions Using Excel
Issued by
Northern State University
This micro-credential introduces learners to essential statistical tools used to analyze and interpret research data in Microsoft Excel. Participants will develop skills in descriptive statistics, correlation and linear regression, t-tests, ANOVA, chi-square tests, and selecting the appropriate statistical method based on their research question and data. These skills prepare learners to confidently analyze and communicate data in scientific, healthcare, and research settings. Expected time 2.5.
- Type Learning
- Level Intermediate
- Time Hours
- Cost Free
Skills
Earning Criteria
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Apply fundamental statistical analysis techniques in Microsoft Excel by accurately performing descriptive statistics, correlation and linear regression, t-tests, ANOVA, and chi-square analyses using appropriate Excel tools.
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Select appropriate statistical methods by evaluating research questions, identifying data types, and choosing the most suitable statistical test to address a given research problem.
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Interpret and communicate statistical results by analyzing outputs from Excel, drawing evidence-based conclusions, and presenting findings clearly for scientific, healthcare, or research audiences.