Skills you'll gain: Business Analysis, Data Analysis, General Statistics, Probability & Statistics, Statistical Analysis, Basic Descriptive Statistics, Experiment, Research and Design, Statistical Tests, Probability Distribution
Mixed · Course · 1-3 Months
Skills you'll gain: Software Engineering, Software Testing, Computational Thinking, Computer Programming, General Statistics, Java Programming, Probability & Statistics, Security Engineering, Security Strategy, Software Engineering Tools, Agile Software Development, Algorithms, Application Development, Artificial Neural Networks, Bioinformatics, Biostatistics, Business Analysis, Business Psychology, Computational Logic, Computer Graphic Techniques, Computer Graphics, Computer Networking, Data Analysis, Deep Learning, Design and Product, DevOps, Entrepreneurship, Feature Engineering, Finance, Human Computer Interaction, Human Factors (Security), Leadership and Management, Machine Learning, Machine Learning Algorithms, Mathematical Theory & Analysis, Mathematics, Network Security, Probability Distribution, Product Design, Product Lifecycle, Regulations and Compliance, Research and Design, Risk Management, Software Architecture, Software Security, Statistical Analysis, Theoretical Computer Science, User Experience, User Experience Design, User Research
Intermediate · Course · 3-6 Months
Skills you'll gain: Business Analysis, Critical Thinking, Research and Design, Strategy and Operations, Probability & Statistics, General Statistics, Data Analysis, Experiment, Statistical Analysis, Statistical Tests
Beginner · Course · 1-3 Months
Skills you'll gain: Machine Learning, Python Programming, Artificial Neural Networks, Deep Learning, Machine Learning Algorithms, Machine Learning Software, Statistical Programming, Applied Machine Learning, Computer Vision, Data Analysis, Estimation, Exploratory Data Analysis, General Statistics, Statistical Tests, Statistical Visualization, Algorithms, Business Analysis, Computer Graphics, Computer Programming, Data Management, Data Structures, Feature Engineering, Probability & Statistics, Statistical Analysis, Theoretical Computer Science
Intermediate · Course · 1-4 Weeks
Skills you'll gain: General Statistics, Probability & Statistics, Data Analysis, Probability Distribution, Statistical Analysis, Business Analysis, Statistical Tests, Basic Descriptive Statistics, Exploratory Data Analysis, R Programming, Statistical Programming, Critical Thinking, Data Analysis Software
Beginner · Course · 1-4 Weeks
Skills you'll gain: Machine Learning, Machine Learning Algorithms, Algorithms, Basic Descriptive Statistics, Computer Vision, Deep Learning, Machine Learning Software, Natural Language Processing, Plot (Graphics), Python Programming, Scientific Visualization, Theoretical Computer Science
Intermediate · Course · 1-4 Weeks
Medical statistics is a field in which the use of statistics is applied to show correlations between medicine, illness, public health, clinical research, and forensic medicine. Also known as biostatistics, medical statistics has applications in clinical medicine, lab research, and national systems of health care. During the COVID-19 pandemic, medical statistics were used on a daily basis to track how well certain areas were doing to control the spread of the virus.
Medical statistics represents a large growth opportunity to learn more about, with the ever-increasing numbers of graying baby boomers seeking medical treatment in the coming years, along with the growing use of big data around medical records.
Medical statistics are an essential part of medical research, and it is valuable to learn this to gain knowledge that can be used in medical experiments, medical tests, global pandemics, and clinical trials of medicine. When statistics are used in medicine, the results can help provide a general snapshot of the threat or severity of a certain illness.
Understanding medical statistics can also help medical professionals and pharmaceutical companies figure out which new drugs should be tested and brought to market. With more information about health and medicine through statistics, the better equipped our society will be about illnesses and more.
When you learn medical statistics, you can find work in medicine and the health sciences, including careers in medical labs, hospitals, public health facilities, government institutions, and medical testing facilities. Health care organizations use a great deal of data and statistics today to drive performance outcomes. Knowing medical statistics can help you find career work in medical service provider organizations that use data to grow quality improvement throughout the organization.
When you take online courses on Coursera about medical statistics, you can learn key concepts about research models and statistical analysis along with how to apply and measure statistical hypothesis testing, binary data, variability regression, and confidence intervals. You have the opportunity to discover how to read and understand mathematical formulas that will give you greater confidence to understand medical statistics as well as explore public health policy issues and assess how they impact the medical community at large.