Analysis and Interpretation of Large-Scale Programs (Coursera)

Analysis and Interpretation of Large-Scale Programs (Coursera)

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.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

It is highly recommended that course participants have the statistical skills to conduct and understand quantitative analysis.

Syllabus

Module 1: Getting started in the course
Module 2: Setting up for data analysis
Module 3: Introduction to data analysis for evaluation
Module 4: Analysis of programs strength and quality of care
Module 5: Analyzing household survey for intervention coverage
Module 6: Analyzing Impact Measures
Module 7: Equity Analysis
Module 8: Gender-Based Equity Analysis
Module 9: Interpreting Evaluation Findings
Final exam and special message from JHU-IIP team

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Design and Interpretation of Clinical Trials (Coursera) Coursera
Johns Hopkins University

Design and Interpretation of Clinical Trials (Coursera)

Clinical trials are experiments designed to evaluate new interventions to prevent or treat disease in humans. The interventions evaluated can be drugs, devices (e.g., hearing aid), surgeries, behavioral interventions (e.g., smoking cessation program), community health programs (e.g. cancer screening programs) or health delivery systems (e.g., special care units for hospital admissions). We consider clinical trials experiments because the investigators rather the patients or their doctors select the treatment the patients receive.

Sep 28th 2026
5-12 Weeks
Applied Public History: Places, People, Stories (Coursera) Coursera
University of London

Applied Public History: Places, People, Stories (Coursera)

This course introduces learners to applied public history: understanding and interpreting the past today, and engaging diverse communities in the practice of making and sharing histories. The course draws on project case studies, expert insights and diverse perspectives to model exciting approaches to researching and sharing the history of places and people. Learners will develop a toolkit to apply in their own practice, by participating in discussion, quizzes, creative activities and mini masterclasses. What kinds of stories can we discover through research into the history of places and people?

Oct 5th 2026
5-12 Weeks
Healthcare Information Design and Visualizations (Coursera) Coursera
Northeastern University

Healthcare Information Design and Visualizations (Coursera)

Introduces processes and design principles for creating meaningful displays of information that support effective business decision-making. Studies how to collect and process data; create visualizations (both static and interactive); and use them to provide insight into a problem, situation, or opportunity. Introduces methods to critique visualizations along with ways to answer the elusive question: “What makes a visualization effective?”

Oct 5th 2026
4 Weeks
Functional Programming in Scala Capstone (Coursera) Coursera
École Polytechnique Fédérale de Lausanne

Functional Programming in Scala Capstone (Coursera)

In the final capstone project you will apply the skills you learned by building a large data-intensive application using real-world data. You will implement a complete application processing several gigabytes of data. This application will show interactive visualizations of the evolution of temperatures over time all over the world.

Oct 5th 2026
5-12 Weeks
Population Health: Responsible Data Analysis (Coursera) Coursera
Leiden University

Population Health: Responsible Data Analysis (Coursera)

In most areas of health, data is being used to make important decisions. As a health population manager, you will have the opportunity to use data to answer interesting questions. In this course, we will discuss data analysis from a responsible perspective, which will help you to extract useful information from data and enlarge your knowledge about specific aspects of interest of the population.

Oct 5th 2026
4 Weeks
Claves para Gestionar Personas (Coursera) Coursera
IESE Business School

Claves para Gestionar Personas (Coursera)

¿Te has preguntado alguna vez qué criterios utilizan las empresas para contratar o retribuir a las personas? ¿Por qué no siempre entendemos los planes de promoción?. El objetivo de este curso es conocer algunas herramientas prácticas en materia de Recursos Humanos y aprender a gestionar personas y liderar el talento con la mayor eficacia posible.

Oct 5th 2026
5-12 Weeks
Data science perspectives on pandemic management (Coursera) Coursera
Politecnico di Milano

Data science perspectives on pandemic management (Coursera)

The COVID-19 pandemic is one of the first world-wide scenarios where data made a difference in capturing and analyzing the diffusion and impact of the disease. We offer an introductory course for decision makers, policy makers, public bodies, NGOs, and private organizations about methods, tools, and experiences on the use of data for managing current and future pandemic scenarios.

Oct 5th 2026
5-12 Weeks
Introduction to Statistics (Coursera) Coursera
Stanford University

Introduction to Statistics (Coursera)

Stanford's "Introduction to Statistics" teaches you statistical thinking concepts that are essential for learning from data and communicating insights. By the end of the course, you will be able to perform exploratory data analysis, understand key principles of sampling, and select appropriate tests of significance for multiple contexts. You will gain the foundational skills that prepare you to pursue more advanced topics in statistical thinking and machine learning.

Oct 5th 2026
5-12 Weeks
Introduction to Mathematical Thinking (Coursera) Coursera
Stanford University

Introduction to Mathematical Thinking (Coursera)

Learn how to think the way mathematicians do - a powerful cognitive process developed over thousands of years. Mathematical thinking is not the same as doing mathematics – at least not as mathematics is typically presented in our school system. School math typically focuses on learning procedures to solve highly stereotyped problems. Professional mathematicians think a certain way to solve real problems, problems that can arise from the everyday world, or from science, or from within mathematics itself.

Oct 5th 2026
5-12 Weeks