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Clinical Data Models and Data Quality Assessments
by Laura K. Wiley, PhD , Michael G. Kahn, MD, PhD- 4.2
Approx. 17 hours to complete
This course aims to teach the concepts of clinical data models and common data models. Welcome to Clinical Data Models and Data Quality Assessments Introduction to Specialization Instructors Course Policies Accessing Course Data and Technology Platform Readings and Course Materials for Module 1 Readings and Course Materials for Module 2 Example mapping of MIMIC Patient to OMOP Person...
CERTaIN: Pragmatic Clinical Trials and Healthcare Delivery Evaluations
by Maria E. Suarez-Almazor, MD, PhD , Barry R. Davis, MD, PhD- 0.0
3 Weeks
Basic Analytic Methods Introduction to Bayesian Methods This course is intended for anyone interested in comparative effectiveness research (CER) and patient-centered outcomes research (PCOR) methods. This course is supported by grant number R25HS023214 from the Agency for Healthcare Research and Quality. Describe the statistical methods used to analyze pragmatic clinical trial data...
$249
Sample-based Learning Methods
by Martha White , Adam White- 4.7
Approx. 22 hours to complete
We will wrap up this course investigating how we can get the best of both worlds: algorithms that can combine model-based planning (similar to dynamic programming) and temporal difference updates to radically accelerate learning. - Understand planning with simulated experience (as opposed to classic planning strategies) Welcome to the Course! Course Introduction...
Python Functions, Files, and Dictionaries
by Paul Resnick , Steve Oney , Jaclyn Cohen- 4.8
Approx. 31 hours to complete
This course introduces the dictionary data structure and user-defined functions. The course is well-suited for you if you have already taken the "Python Basics" course and want to gain further fundamental knowledge of the Python language. Introduction to the Specialization Introduction to Functions Optional - What Did You Use to Practice This Week? Introduction - Final Course Project...
Population Health: Responsible Data Analysis
by Mar Rodriguez Girondo , Jelle Goeman , Saskia le Cessie- 4.6
Approx. 21 hours to complete
In most areas of health, data is being used to make important decisions. Then, we will discuss that because data are usually obtained from a sample of a limited number of individuals, statistical methods are needed to make claims about the whole population of interest. This course will become part of the to-be-developed Leiden University master program Population Health Management....
Data Management for Clinical Research
by Stephany Duda, PhD , Paul Harris, PhD- 4.7
Approx. 17 hours to complete
This course presents critical concepts and practical methods to support planning, collection, storage, and dissemination of data in clinical research. This course assumes very little current knowledge of technology other than how to operate a web browser. Course Introduction Research Data Planning 1 Research Data Planning 2 Introduction to Electronic Data Capture (EDC)...
Genomics for Law
by Dr. Gene E. Robinson , Dr. Jennifer K. Robbennolt- 4.8
Approx. 12 hours to complete
Throughout this course you will explore the implications of genomics research on law, as well as law's influence and implications on genomics research, as it pertains to the following topics: Introduction to Genomics for Law Introduction to Genomics for Law Introduction to CRISPR Technology Introduction to Genomics and Tort Law Introduction to Privacy and Genomics ...
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Healthcare Data Quality and Governance
by Doug Berman- 4.5
Approx. 12 hours to complete
Career prospects are bright for those qualified to work with healthcare data or as Health Information Management (HIM) professionals. Course Introduction Module 1 Introduction Data quality assessment for comparative effectiveness research in distributed data networks Module 2 Introduction Methods and dimensions of electronic health record data quality assessment: enabling reuse for clinical research...
Brand New Brand
by Michael Worthington- 4.9
Approx. 25 hours to complete
This course is the culmination of the Graphic Design Specialization and gives you an opportunity to tie together your knowledge and skills into a single project: a brand development guide for a company you will invent. This course takes you through the entire design process, from ideation to creation to presentation....
Applying Data Analytics in Finance
by Sung Won Kim , Jose Luis Rodriguez- 4.5
Approx. 23 hours to complete
Finally, a short introduction to algorithmic trading concludes the course. Module 1: Introduction to Financial Analytics and Time Series Data 1 Introduction to Financial Analytics 1 Introduction to Algorithmic Trading 2 Introduction to Algorithmic Trading: Trend Following Strategy 3 Introduction to Algorithmic Trading: Backtesting 4 Introduction to Algorithmic Trading: R Example 5 Introduction to Algorithmic Trading: Conclusion...