Big Data Analytics in Healthcare

Big Data Analytics in Healthcare
at
UDACITY
Overview

Skills you will learn

What are the course deliverables?

Data science plays an important role in many industries. In facing massive amount of heterogeneous data, scalable machine learning and data mining algorithms and systems become extremely important for data scientists. The growth of volume, complexity and speed in data drives the need for scalable data analytic algorithms and systems. In this course, we study such algorithms and systems in the context of healthcare applications.
In healthcare, large amounts of heterogeneous medical data have become available in various healthcare organizations (payers, providers, pharmaceuticals). This data could be an enabling resource for deriving insights for improving care delivery and reducing waste. The enormity and complexity of these datasets present great challenges in analyses and subsequent applications to a practical clinical environment.

More about this course

Data science plays an important role in many industries. In facing massive amount of heterogeneous data, scalable machine learning and data mining algorithms and systems become extremely important for data scientists
The growth of volume, complexity and speed in data drives the need for scalable data analytic algorithms and systems
In this course, we study such algorithms and systems in the context of healthcare applications

Big Data

Healthcare

Technologies

David Joyner

Designation : Instructor

Jimeng Sun

Designation : Instructor

Eligibility criteria Up Arrow Icon

Basic machine learning and data mining concepts such as classification and clustering; Proficient programming and system skills in Python, Java and Scala; Proficient knowledge and experience in dealing with data (recommended skills include SQL, NoSQL such as MongoDB).

Conditional Offer Up Arrow Icon