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Learner Reviews & Feedback for Analysis and Interpretation of Large-Scale Programs by Johns Hopkins University

4.8
stars
19 ratings

About the Course

This course is for implementers, managers, funders, and evaluators of health programs targeting women and children in low- and middle-income countries as well as undergraduate and graduate students in health-related fields. Course participants will learn how to 1) transform quantitative components of an evaluation measurement plan into a sound analysis plan to address the evaluation questions, 2) conduct quantitative analyses of primary or secondary surveys or other available data, 3) interpret the meaning of the analysis results and their implications, and 4) disseminate the evaluation findings to program implementers, local and global stakeholders. It is highly recommended that course participants have the statistical skills to conduct and understand quantitative analysis. The development of this course was supported by a grant from Government Affairs Canada (GAC) for the Real Accountability, Data Analysis for Results (RADAR) project....

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1 - 22 of 22 Reviews for Analysis and Interpretation of Large-Scale Programs

By d9054256-f508-4b9f-b772-39ce32d597f4 a

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Apr 2, 2026

Coursera’s Analysis and Interpretation of Large-Scale Programs teaches evaluating program impact, analyzing data, and using evidence for decision-making.

By DILIP S T

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Apr 5, 2026

excellent and gain knowledge and good for everyone

By Rohit K

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Apr 5, 2026

nice and informative course.

By Karanti G

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Mar 31, 2026

Excellent Learning Modules

By 3d91c180-6829-4559-865e-7c4b98a49022 a

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Apr 1, 2026

Good course of course

By Ali I

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Jan 21, 2026

Exceptional course..!

By 972b2b9a-8fc9-4a65-84aa-9f5bbf9df03e a

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Apr 2, 2026

Very nice cource

By Pankaj P

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Apr 3, 2026

Good course,

By Piyush G

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Jan 27, 2026

Good course

By Tilat J A S

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Apr 4, 2026

Excellent

By Madan K

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Jan 2, 2026

VR NICE

By Rahul K

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Apr 3, 2026

Great

By Mirza K H

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Feb 5, 2026

great

By Shiddamallayya

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Apr 4, 2026

Good

By 1bdcfeb1-73a0-4350-859a-525b779047d2 a

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Apr 3, 2026

Good

By SANDIPAN M

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Apr 3, 2026

Good

By Mangesh B

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Apr 3, 2026

good

By 08ce2d2f-ce3b-4374-beaa-b5423b902951 a

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Apr 4, 2026

Ok

By Amrut S

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Apr 3, 2026

No

By Vinita T

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Apr 2, 2026

Good and informative

By Saurabh K S

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Apr 4, 2026

good

By RADHE K

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Apr 4, 2026

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