Assistant/clinic administrator education requirements

1. Clinical Trials Operations

This specialization is designed for individuals and teams that will be running or interacting with clinical trials. In four courses, learners will develop insights and build the skills they need to design, manage, and monitor clinical trials as well as analyze, document, and communicate the results. Learners will also learn best practices regarding ethics, safety, participant recruitment, regulatory compliance, and reporting standards. The core principles and skills of the specialization will...

2. Clinical Data Science

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!\n\nThis specialization provides learners with hands on experience in use of electronic health records and informatics tools to perform clinical data science. This series of six courses is designed to augment learner’s existing skills in statistics and programming to provide examples of specific challenges,...

3. Basic of Clinical Data Management

4.5

(341)

Clinical Data Management...

4. The Simplest Guide to Clinical Trials Data Analysis with SAS

4.4

(1,044)

Step into the world of Pharmaceutical industry Clinical Trials Clinical Research Biostatistics Clinical SAS SAS...

5. Making Data Science Work for Clinical Reporting

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...

6. Clinical Trials Analysis, Monitoring, and Presentation

In this course, you’ll learn more advanced operational skills that you and your team need to run a successful clinical trial. You’ll learn about the computation of sample size and how to develop a sample size calculation that’s suitable for your trial design and outcome measures. You’ll also learn to use statistical methods to monitor your trial for safety, integrity, and efficacy. Next, you’ll learn how to report the results from your clinical trials through both journal articles and data...

7. Good Clinical Practice ICH GCP for Clinical Research

4.5

(710)

Certification on ICH GCP E6 R2 Good Clinical Practice for Clinical Research The Only Complete Course You Can Find Online...

8. The Beginners Course for Clinical Research

4.5

(650)

The Essentials of Clinical Trials - Clinical Research for Beginners...

9. Clinical Trials Data Management and Quality Assurance

In this course, you’ll learn to collect and care for the data gathered during your trial and how to prevent mistakes and errors through quality assurance practices. Clinical trials generate an enormous amount of data, so you and your team must plan carefully by choosing the right collection instruments, systems, and measures to protect the integrity of your trial data. You’ll learn how to assemble, clean, and de-identify your datasets. Finally, you’ll learn to find and correct deficiencies...

10. Introduction to Clinical Data Science

This course will prepare you to complete all parts of the Clinical Data Science Specialization. In this course you will learn how clinical data are generated, the format of these data, and the ethical and legal restrictions on these data. You will also learn enough SQL and R programming skills to be able to complete the entire Specialization - even if you are a beginner programmer. While you are taking this course you will have access to an actual clinical data set and a free, online...

11. Good Clinical Practice for Clinical Research Professionals

4.5

(537)

The Complete, Certified ICH GCP (R2 & R3) Course for Investigators, Study Coordinators, Sponsors, Monitors and Study staff...

12. Certificate Course in Clinical Research (CCCR)

4

(302)

A Clinical Research Course-ICH-GCP E6(R2), Clinical Trials, Essential Documents, Sponsor, Investigator, Pharmaceuticals...

13. Clinical Kidney, Pancreas and Islet Transplantation

Kidney transplantation is a major advance of modern medicine which provides high-quality of life for patients with end-stage renal disease. What used to be an experimental, risky, and very limited treatment option more than 50 years ago is now routinely performed in many countries worldwide. The number of renal transplants is expected to rise sharply in the next decade since the proportion of patients with end stage renal disease is increasing. Are you interested in clinical kidney, pancreas...

14. Predictive Modeling and Transforming Clinical Practice

This course teaches you the fundamentals of transforming clinical practice using predictive models. This course examines specific challenges and methods of clinical implementation, that clinical data scientists must be aware of when developing their predictive models...

15. Good Clinical Practice (GCP)

4.2

(313)

Key features of the GCP guideline, roles and responsibilities involved and the requirements of essential documentation...

16. Clinical Research for beginners

4.2

(462)

The Art of Publishing - Master Pub Med, Study design, Biostatistics, Journal choice, Manuscript writing & Referencing...

17. Design and Conduct of Clinical Trials

In this course, you’ll learn how to design and carry out clinical trials. Each design choice has implications for the quality and validity of your results. This course provides you and your team with essential skills to evaluate options, make good design choices, and implement them within your trial. You’ll learn to control for bias, randomize participants, mask treatments and outcomes, identify errors, develop and test hypotheses, and define appropriate outcomes. Finally, a trial without...

18. Clinical Natural Language Processing

This course teaches you the fundamentals of clinical natural language processing (NLP). In this course you will learn the basic linguistic principals underlying NLP, as well as how to write regular expressions and handle text data in R. You will also learn practical techniques for text processing to be able to extract information from clinical notes. Finally, you will have a chance to put your skills to the test with a real-world practical application where you develop text processing...

19. Informed Clinical Decision Making using Deep Learning

This specialisation is for learners with experience in programming that are interested in expanding their skills in applying deep learning in Electronic Health Records and with a focus on how to translate their models into Clinical Decision Support Systems.\n\nThe main areas that would explore are:\n\nData mining of Clinical Databases: Ethics, MIMIC III database, International Classification of Disease System and definition of common clinical outcomes. Deep learning in Electronic Health...