Gender Foundations in Health Data: A Data for Health Course (Coursera)

Gender Foundations in Health Data: A Data for Health Course (Coursera)

Welcome to Gender Foundations in Health Data: A Data for Health course. This course was developed from an online seminar series of the same name, that was hosted by Johns Hopkins University Bloomberg School of Health in 2021-22. The course instructors are Drs. Michelle Kaufman and Tahilin Sanchez Karver. This course will raise learners' awareness of the necessity of utilizing a gender lens in global public health data, policy, and practice, feature how-tos and key examples of integration of gender in data collection, analysis, and use from Data for Health partners.

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

Technical Specifications
This course uses a third-party app called Articulate Rise to deliver the course materials. You will need to click-through a few screens (Articulate Rise, pop-up blockers) to enter and exit each Module. Please be sure to turn off pop-up blockers to access the materials.

Syllabus

Gender Foundations in Health Data
Welcome to Gender Foundations in Health Data. This course uses a third party app called Articulate Rise to deliver the course materials. You will need to click-through a few screens (Articulate Rise, pop-up blockers) to enter and exit each Module. To post in the discussion forums, you will need to exit the Modules in Articulate Rise and go back to Coursera. We hope you have a good experience learning about gender integration in your health data work.

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

Related Courses

Statistics and Data Analysis with Excel, Part 2 (Coursera) Coursera
University of Colorado Boulder

Statistics and Data Analysis with Excel, Part 2 (Coursera)

This course is meant to be a direct continuation of "Statistics and Data Analysis with Excel, Part 1." Therefore, it is not recommended to take Part 2 unless you've also taken Part 1. Building on the topics learned in Part 1 of the course (probability, probability mass and density functions, the normal and standard normal distributions), this course dives into a more applied side of statistics.

Sep 21st 2026
5-12 Weeks
Global Statistics - Composite Indices for International Comparisons (Coursera) Coursera
University of Geneva

Global Statistics - Composite Indices for International Comparisons (Coursera)

In this course on global statistics, offered by the University of Geneva jointly with the ETH Zürich KOF, you will learn the general approach of constructing composite indices and some of resulting problems. We will discuss the technical properties, the internal structure (like aggregation, weighting, stability of time series), the primary data used and the variable selection methods. These concepts will be illustrated using a sample of the most popular composite indices. We will try to address not only statistical questions but also focus on the distinction between policy-, media- and paradigm-driven indicators.

Sep 28th 2026
5-12 Weeks
Gender and Sexuality: Diversity and Inclusion in the Workplace (Coursera) Coursera
University of Pittsburgh

Gender and Sexuality: Diversity and Inclusion in the Workplace (Coursera)

What is sex? What is gender? What is sexuality? What do we mean by LGBTQIA? How are these concepts related to the workplace? How have our understandings of these terms changed over time, and how have these changes impacted work and culture? To help you answer these important questions, this course will introduce you to the exciting field of gender, sexuality, and women's studies, and to LGBTQIA identities.

Sep 28th 2026
4 Weeks
Gestión del análisis de datos (Coursera) Coursera
Johns Hopkins University

Gestión del análisis de datos (Coursera)

This one-week course describes the process of analyzing data and how to manage that process. We describe the iterative nature of data analysis and the role of stating a sharp question, exploratory data analysis, inference, formal statistical modeling, interpretation, and communication. In addition, we will describe how to direct analytic activities within a team and to drive the data analysis process towards coherent and useful results.

Sep 21st 2026
1 Week
Data Science for Business Innovation (Coursera) Coursera
Politecnico di Milano,EIT Digital

Data Science for Business Innovation (Coursera)

The course is a compendium of the must-have expertise in data science for executive and middle-management to foster data-driven innovation. It consists of introductory lectures spanning big data, machine learning, data valorization and communication. Topics cover the essential concepts and intuitions on data needs, data analysis, machine learning methods, respective pros and cons, and practical applicability issues.

Sep 21st 2026
4 Weeks
Doing Economics: Measuring Climate Change (Coursera) Coursera
University of London,University College London,CORE

Doing Economics: Measuring Climate Change (Coursera)

This course will give you practical experience in working with real-world data, with applications to important policy issues in today’s society. Each week, you will learn specific data handling skills in Excel and use these techniques to analyse climate change data, with appropriate readings to provide background information on the data you are working with. You will also learn about the consequences of climate change and how governments can address this issue.

Sep 21st 2026
4 Weeks
Bioinformatic Methods I (Coursera) Coursera
University of Toronto

Bioinformatic Methods I (Coursera)

Large-scale biology projects such as the sequencing of the human genome and gene expression surveys using RNA-seq, microarrays and other technologies have created a wealth of data for biologists. However, the challenge facing scientists is analyzing and even accessing these data to extract useful information pertaining to the system being studied. This course focuses on employing existing bioinformatic resources – mainly web-based programs and databases – to access the wealth of data to answer questions relevant to the average biologist, and is highly hands-on.

Sep 21st 2026
5-12 Weeks
Analyzing and Visualizing Data in Looker (Coursera) Coursera
Google Cloud

Analyzing and Visualizing Data in Looker (Coursera)

In this course, you learn how to do the kind of data exploration and analysis in Looker that would formerly be done primarily by SQL developers or analysts. Upon completion of this course, you will be able to leverage Looker's modern analytics platform to find and explore relevant content in your organization’s Looker instance, ask questions of your data, create new metrics as needed, and build and share visualizations and dashboards to facilitate data-driven decision making.

Sep 28th 2026
2 Weeks
Data Management for Clinical Research (Coursera) Coursera
Vanderbilt University

Data Management for Clinical Research (Coursera)

This course presents critical concepts and practical methods to support planning, collection, storage, and dissemination of data in clinical research. Understanding and implementing solid data management principles is critical for any scientific domain. Regardless of your current (or anticipated) role in the research enterprise, a strong working knowledge and skill set in data management principles and practice will increase your productivity and improve your science. Our goal is to use these modules to help you learn and practice this skill set.

Sep 14th 2026
5-12 Weeks
Data Visualization for Genome Biology (Coursera) Coursera
University of Toronto

Data Visualization for Genome Biology (Coursera)

The past decade has seen a vast increase in the amount of data available to biologists, driven by the dramatic decrease in cost and concomitant rise in throughput of various next-generation sequencing technologies, such that a project unimaginable 10 years ago was recently proposed, the Earth BioGenomes Project, which aims to sequence the genomes of all eukaryotic species on the planet within the next 10 years. So while data are no longer limiting, accessing and interpreting those data has become a bottleneck. One important aspect of interpreting data is data visualization. This course introduces theoretical topics in data visualization through mini-lectures, and applied aspects in the form of hands-on labs.

Sep 21st 2026
5-12 Weeks
Construção de Relacionamentos em Vendas Orientada a Dados (Coursera) Coursera
FIA Business School

Construção de Relacionamentos em Vendas Orientada a Dados (Coursera)

Nossas boas-vindas ao Curso Construção de Relacionamento em Vendas Orientada a Dados. Neste curso, você aprenderá métodos sobre data analytics para o ambiente dos profissionais de vendas. Ao final deste curso, você será capaz de avaliar relacionamentos entre o desempenho de vendas e os gastos relacionados; agrupar por semelhança itens, produtos ou serviços e, por fim, realizar recomendações de produtos para clientes sob características preestabelecidas.

Sep 28th 2026
4 Weeks