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Introduction to Clinical Data Science
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Introduction to Clinical Data Science

Learn to analyze healthcare data using SQL and R, with hands-on experience working with real clinical datasets.

Course Cost

Free course

Intermediate

Skill Level

6 Hours

Self-paced lessons

This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Clinical Data Science Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

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4.5

20,348 Enrolled

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English

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olive-leaves-logo

4.5

20,348 Enrolled

olive-leaves-logo

English

What you'll learn

  • Understand clinical data generation and healthcare privacy regulations

  • Write SQL queries to combine and analyze clinical databases

  • Manipulate healthcare data using R and Tidyverse packages

  • Create data analysis reports using RMarkdown

Skills you'll gain

SQL Programming
R Programming
Clinical Data Analysis
Healthcare Analytics
Data Management
Database Queries
Tidyverse
RMarkdown
MIMIC-III
Data Privacy

This course includes:

1.2 Hours PreRecorded video

8 assignments

Access on Mobile, Tablet, Desktop

FullTime access

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Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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There are 4 modules in this course

This foundational course introduces students to clinical data science, focusing on how healthcare data is generated, structured, and analyzed. The curriculum covers essential programming skills in SQL and R, with emphasis on working with real clinical datasets through Google Cloud's platform. Students learn about healthcare data privacy regulations, clinical data types, and practical data analysis techniques. The course combines theoretical knowledge with hands-on programming exercises using the MIMIC-III clinical database.

Welcome to the Clinical Data Science Specialization

Module 1 · 2 Hours to complete

Introduction: Clinical Data

Module 2 · 1 Hours to complete

Tools: SQL

Module 3 · 2 Hours to complete

Tools: R and the Tidyverse

Module 4 · 1 Hours to complete

Fee Structure

Reviews

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Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Introduction to Clinical Data Science

Intermediate

Skill Level

6 Hours

Self-paced lessons

Course Cost

Free course

Completion

CERTIFICATE

Frequently asked Questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.