Health Informatics Online Courses for Students
Found 69 listings, displaying 1-20
This course will help lay the foundation of your healthcare data journey and provide you with knowledge and skills necessary to work in the healthcare industry as a data scientist. Healthcare is unique because it is associated with continually evolving and complex processes associated with health...
In this first of our five courses, Dr. Karen Monsen introduces the nursing informatics leadership essentials and skills that will guide you through your studies as you apply leadership principles to the nursing informatics specialty. Course Objectives: Describe essentials of nursing informatics...
Are you interested in how to use data generated by doctors, nurses, and the healthcare system to improve the care of future patients? If so, you may be a future clinical data scientist! This specialization provides learners with hands on experience in use of electronic health records and...
This course teaches you to fetch and process data from services on the Internet. It covers Python list comprehensions and provides opportunities to practice extracting from and processing deeply nested data. You\'ll also learn how to use the Python requests module to interact with REST APIs and...
This course distills for you expert knowledge and skills mastered by professionals in Health Big Data Science and Bioinformatics. You will learn exciting facts about the human body biology and chemistry, genetics, and medicine that will be intertwined with the science of Big Data and skills to...
Learn to use tools from the Bioconductor project to perform analysis of genomic data. This is the fifth course in the Genomic Big Data Specialization from Johns Hopkins University.Created by: Johns Hopkins UniversityLanguage: English...
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...
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...
In this course, you will learn how to use the BaseSpace cloud platform developed by Illumina (our industry partner) to apply several standard bioinformatics software approaches to real biological data. In particular, in a series of Application Challenges will see how genome assembly can be used...
A big welcome to \"Bioinformatics: Introduction and Methods\" from Peking University! In this MOOC you will become familiar with the concepts and computational methods in the exciting interdisciplinary field of bioinformatics and their applications in biology, the knowledge and skills in...
Are you interested in learning how to program (in Python) within a scientific setting? This course will cover algorithms for solving various biological problems along with a handful of programming challenges helping you implement these algorithms in Python. It offers a gently-paced introduction...
Are you ready to take an incredible journey around Planet Earth and beyond? In this course, you will delve into a world of innovative science and learn from a team of Biosphere 2 and University of Arizona researchers. From plants and soils, to oceans and rainforests, the Moon, Mars, and more,...
Introduces to the commands that you need to manage and analyze directories, files, and large sets of genomic data. This is the fourth course in the Genomic Big Data Science Specialization from Johns Hopkins University.Created by: Johns Hopkins UniversityLanguage: English...
The analytical process does not end with models than can predict with accuracy or prescribe the best solution to business problems. Developing these models and gaining insights from data do not necessarily lead to successful implementations. This depends on the ability to communicate results to...
Important note: The second assignment in this course covers the topic of Graph Analysis in the Cloud, in which you will use Elastic MapReduce and the Pig language to perform graph analysis over a moderately large dataset, about 600GB. In order to complete this assignment, you will need to make...
Once we have sequenced genomes in the previous course, we would like to compare them to determine how species have evolved and what makes them different. In the first half of the course, we will compare two short biological sequences, such as genes (i.e, short sequences of DNA) or proteins. We...
How could you program a complex \"choose your own adventure\" game? How can your soccer game determine goals, balls out of bounds, and corner kicks? You\'ll learn to do both of these in this course! This class teaches the concepts of nested if/else statements and compound Boolean conditional...
How can students learn about abstraction by creating a movie scene? Or make an interactive map using lists? You\'ll learn (and do it yourself) in this course! This class teaches the concepts of abstraction (methods and parameters) and lists. For each concept, we\'ll start by helping you connect...
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...
An introduction to dynamical modeling techniques used in contemporary Systems Biology research. We take a case-based approach to teach contemporary mathematical modeling techniques. The course is appropriate for advanced undergraduates and beginning graduate students. Lectures provide biological...
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