Introduction to Clinical Data Science

This course is part of Clinical Data Science Specialization

Instructor: Laura K. Wiley, PhD

What you'll learn

  •   Describe how each type of clinical data are generated, specifically outlining who creates the data, when and why the data are generated.
  •   Write SQL code to combine two or more tables using database joins.
  •   Write R code to manipulate and tidy data including: selecting columns, filtering rows, and joining data sets.
  •   Write markdown formatted text and combine with R code in RMarkdown documents.

    • Skills you'll gain

  •   Information Privacy
  •   Tidyverse (R Package)
  •   Data Ethics
  •   Data Access
  •   Data Processing
  •   Health Care Procedure and Regulation
  •   Data Manipulation
  •   Health Informatics
  •   Clinical Research
  •   Clinical Data Management
  •   SQL
  •   Google Cloud Platform
  •   Electronic Medical Record
  •   R Programming
  •   Data Science

    • There are 4 modules in this course

    At the end of this course you will be prepared to embark on your clinical data science education journey, learning how to take data created by the healthcare system and improve the health of tomorrow's patients.

    Introduction: Clinical Data

    Tools: SQL

    Tools: R and the Tidyverse

    Explore more from Data Analysis

    Clinical Data Science

    Advanced Clinical Data Science

    Introduction to Clinical Data

    Making Data Science Work for Clinical Reporting

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