Coursera

Data Science in Health Technology Assessment (Coursera)

Offered by Genentech,
Data Science in Health Technology Assessment (Coursera)

This course explores key concepts and methods in Health Economics and Health Technology Assessment (HTA) and is intended for learners who have a foundation in data science, clinical science, regulatory and are new to this field and would like to understand basic principles used by payers for their reimbursement decisions.

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

Syllabus

Health Economics
This module covers the key principles of economic evaluation, including types of analysis, the technical issues such as choosing the comparator, perspective, and time horizon. It looks at types of costs, and the need for discounting.

Health measurements and QALYs
This module covers the measurement of health-related quality of life and its incorporation into economic evaluation.

Health Economic Modelling
This module introduces decision modelling techniques, deterministic and probabilitic sensitivity analyes and best practices for problem and model conceptualization.

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

Related Courses

Building a Data Science Team (Coursera) Coursera
Johns Hopkins University

Building a Data Science Team (Coursera)

Management & Leadership Statistics & Data Analysis

Data science is a team sport. As a data science executive it is your job to recruit, organize, and manage the team to success. In this one-week course, we will cover how you can find the right people to fill out your data science team, how to organize them to give them the best chance to feel empowered and successful, and how to manage your team as it grows.

Sep 7th 2026
1 Week
Data Science Team Management Team
Details
Genomic Data Science and Clustering (Bioinformatics V) (Coursera) Coursera
University of California, San Diego

Genomic Data Science and Clustering (Bioinformatics V) (Coursera)

Sci: Biology & Life Sciences Health & Society

How do we infer which genes orchestrate various processes in the cell? How did humans migrate out of Africa and spread around the world? In this class, we will see that these two seemingly different questions can be addressed using similar algorithmic and machine learning techniques arising from the general problem of dividing data points into distinct clusters.

Sep 7th 2026
3 Weeks
Clustering Bioinformatics Data Science
Details
Process Mining: Data science in Action (Coursera) Coursera
Eindhoven University of Technology

Process Mining: Data science in Action (Coursera)

Statistics & Data Analysis Data Science

Process mining is the missing link between model-based process analysis and data-oriented analysis techniques. Through concrete data sets and easy to use software the course provides data science knowledge that can be applied directly to analyze and improve processes in a variety of domains. Data science is the profession of the future, because organizations that are unable to use (big) data in a smart way will not survive. It is not sufficient to focus on data storage and data analysis. The data scientist also needs to relate data to process analysis.

Sep 21st 2026
5-12 Weeks
Business Data Mining Data Analysis
Details
Data Science Math Skills (Coursera) Coursera
Duke University

Data Science Math Skills (Coursera)

Sci: Mathematics Data Science

Data science courses contain math—no avoiding that! This course is designed to teach learners the basic math you will need in order to be successful in almost any data science math course and was created for learners who have basic math skills but may not have taken algebra or pre-calculus. Data Science Math Skills introduces the core math that data science is built upon, with no extra complexity, introducing unfamiliar ideas and math symbols one-at-a-time.

Sep 24th 2026
4 Weeks
Math Algebra Probability
Details
Data Science in Stratified Healthcare and Precision Medicine (Coursera) Coursera
University of Edinburgh

Data Science in Stratified Healthcare and Precision Medicine (Coursera)

Health & Society Statistics & Data Analysis

An increasing volume of data is becoming available in biomedicine and healthcare, from genomic data, to electronic patient records and data collected by wearable devices. Recent advances in data science are transforming the life sciences, leading to precision medicine and stratified healthcare. In this course, you will learn about some of the different types of data and computational methods involved in stratified healthcare and precision medicine.

Sep 7th 2026
5-12 Weeks
Medicine Healthcare Machine Learning
Details
Managing Data Analysis (Coursera) Coursera
Johns Hopkins University

Managing Data Analysis (Coursera)

Management & Leadership Statistics & Data Analysis

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 7th 2026
1 Week
Strategy Communication Inference
Details
Data Science in Real Life (Coursera) Coursera
Johns Hopkins University

Data Science in Real Life (Coursera)

Management & Leadership Statistics & Data Analysis

Have you ever had the perfect data science experience? The data pull went perfectly. There were no merging errors or missing data. Hypotheses were clearly defined prior to analyses. Randomization was performed for the treatment of interest. The analytic plan was outlined prior to analysis and followed exactly. The conclusions were clear and actionable decisions were obvious. Has that every happened to you? Of course not. Data analysis in real life is messy. How does one manage a team facing real data analyses? In this one-week course, we contrast the ideal with what happens in real life. By contrasting the ideal, you will learn key concepts that will help you manage real life analyses.

Sep 7th 2026
1 Week
Statistics Machine Learning Data Management
Details
Data Science Ethics (Coursera) Coursera
University of Michigan

Data Science Ethics (Coursera)

Data Science

What are the ethical considerations regarding the privacy and control of consumer information and big data, especially in the aftermath of recent large-scale data breaches? This course provides a framework to analyze these concerns as you examine the ethical and privacy implications of collecting and managing big data. Explore the broader impact of the data science field on modern society and the principles of fairness, accountability and transparency as you gain a deeper understanding of the importance of a shared set of ethical values.

Sep 21st 2026
4 Weeks
History Ethics Data Analysis
Details
Materials Data Sciences and Informatics (Coursera) Coursera
Georgia Institute of Technology

Materials Data Sciences and Informatics (Coursera)

Engineering Sci: Chemistry

This course aims to provide a succinct overview of the emerging discipline of Materials Informatics at the intersection of materials science, computational science, and information science. Attention is drawn to specific opportunities afforded by this new field in accelerating materials development and deployment efforts.

Sep 7th 2026
5-12 Weeks
Statistics Informatics Chemistry
Details
Practical Machine Learning on H2O (Coursera) Coursera
H2O.ai

Practical Machine Learning on H2O (Coursera)

Data Science

In this course, we will learn all the core techniques needed to make effective use of H2O. Even if you have no prior experience of machine learning, even if your math is weak, by the end of this course you will be able to make machine learning models using a variety of algorithms. We will be using linear models, random forest, GBMs and of course deep learning, as well as some unsupervised learning algorithms.

Sep 14th 2026
5-12 Weeks
Machine Learning Data Science Linear Models
Details