Meta-analysis for Data Science and Business Analytics
With Conrad Carlberg
Liked by 1,445 users
Duration: 49m
Skill level: Intermediate
Released: 11/2/2017
Course details
In a world where nearly everyone uses data to inform their business methodologies, an emerging consensus is that more emphasis needs to be placed on validating data; verifying that data-driven conclusions are accurate; and minimizing the risk that your conclusions are incorrect. Although most researchers know what meta-analysis is, few understand how to calculate an effect size from popular metrics such as risk ratios, or how the distinction between fixed and random effects can lead the meta-analyst astray. This advanced-level course for data science and statistics practitioners and researchers covers raw mean differences—specifically for experimental and comparison groups—and how to convert useful outcome measures such as relative risk and odds ratios to commensurate measures of effect size. Plus, learn about how confidence intervals are created for binary outcome measures.
Skills you’ll gain
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Meet the instructor
Learner reviews
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Purnangshu Roy
Purnangshu Roy
Management Information Systems Manager @ Narayani sons India Pvt ltd | MBA, Finance
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S A M Matiur Rahman
S A M Matiur Rahman
Associate Professor, Department of Software Engineering, Daffodil International University
Contents
What’s included
- Practice while you learn 1 exercise file
- Test your knowledge 4 quizzes
- Learn on the go Access on tablet and phone
- Stay up to date Continuing Education Units
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