Healthcare
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Data Analytics in Health – From Basics to Business

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Course Features

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Duration

4 weeks

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Effort

3 hours per week

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Teaching Type

Instructor Paced

Course Description

Many people talk about the promise of “big data” to health care. But how can the application of data analytics to big data actually improve health and health care? We will show that novel data analytics based solutions can result in better diagnosis, better care and better curing. This provides fertile ground for entrepreneurship and the development of new businesses.

In our course we’ll start from the very basics of data analytics, look at different real world approaches and help you to see entrepreneurial opportunities and develop a business plan.

We will cover three important fields:

  • Health care expertise: We will present medical approaches to data and give an overview of challenges where big data based solutions have been developed to improve the efficiency and effectiveness in medicine.
  • Data analytics: We’ll explain the basics of data mining within the context of a wide variety of health care settings, and the types of data and data analysis challenges that you will likely encounter in each. We’ll start with gathering the data, move on to classifying, analyzing and finally visualizing it.
  • Entrepreneurship: You will learn how to assess when data sciences based improvements in health care represent entrepreneurial opportunities. The development of a rigorous business plan is used to help you make that assessment.

Participants with prior experience in the medical field will learn how novel data science applications can improve healthcare, create societal value and how to spot entrepreneurial opportunities.

Participants with experience in data science or mathematics will learn about medical approaches to data and why healthcare is an exciting area to apply and develop data analytics.

Participants interested in launching their startup will learn how big data solutions in health care can provide a solid basis to build great ventures.

Whatever your motivation to enrol in this course, we care about your project and your success - that’s why we will guide you through all parts of this learning journey step by step!

Enter now to see how you can engage in data driven innovation and make an impact on improving care, outcomes and the quality of life.

Course Overview

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Live Class

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Human Interaction

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Personlized Teaching

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International Faculty

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Post Course Interactions

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Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

No Prerequisites Required

What You Will Learn

How healthcare data analysis can be used to improve diagnosis, curing and caring

How to acquire, transform, classify, mine and visualize data

How to identify data analytics based entrepreneurial opportunities in healthcare and quantify it’s economic value

How to improve entrepreneurial opportunities and to create a rigorous business plan for your start up

Course Instructors

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Amin Ardeshirdavani

Bioinformatician at KU Leuven

Amin Ardeshirdavani is a Bioinformatician with the software engineering background. Amin was born in Shiraz, Iran on 28th August 1979. He graduated from one of the oldest high schools in Iran, Saadat...
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Anas Abdelrazeq

Researcher at IMA/ZLW & IFU

Anas Abdelrazeq has been working as a researcher at IMA/ZLW & IfU since April 2015. In February 2014, Mr. Abdelrazeq finished his Master’s degree at RWTH Aachen University in the international progra...
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Anja Richert

Managing Director, Center for Learning and Knowledge Management at RWTH Aachen University

Anja Richert took up the position of managing director of the Center for Learning and Knowledge Management of the RWTH Aachen University in February 2011. With a doctorate in Communication Science, s...
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Arnaud Installé

Postdoctoral Researcher at KU Leuven

Arnaud J. F. Installé is a postdoctoral researcher at the Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics, a unit of the KULeuven Department of Electrical Engineering. Afte...
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