Making Data Science Work for Clinical Reporting

Coursera MOOC / Non-credit USD 49

Enroll now →

Making Data Science Work for Clinical Reporting

About this course

This course is aimed to demonstate how principles and methods from data science can be applied in clinical reporting. By the end of the course, learners will understand what requirements there are in reporting clinical trials, and how they impact on how data science is used. The learner will see how they can work efficiently and effectively while still ensuring that they meet the needed standards.

What you'll learn

understand clinical trial reporting requirements
apply data science methods in clinical contexts
work effectively while meeting reporting standards

Skills you'll gain

data visualization data analysis data science efficiency reporting standards regulations health data clinical trials clinical reporting effectiveness

Related courses

Data Science Foundations

Data Analytics in the Public Sector with R

Data Science as a Field

Geographic Information Systems (GIS)

Statistical Methods and Data Analysis

Data Visualization & Analytics in Tableau

Enhancing Reproducible Science with GitHub and Docker

Programming for Python Data Science: Principles to Practice

Course details are provided by the platform and may change — always confirm on the provider's site. Links may be affiliate links.