Data Entrepreneurs
A Course for Professionals
EIT Labelled Programme
Are you a healthcare professional looking to harness the power of medical data for better decision-making? Then discover the world of machine learning, and how to apply it to medical data analysis.
Crafted by esteemed institutions including the Medical University of Lodz, FAU Erlangen, and leading hospitals in Barcelona and Erlangen, our 10-module course offers a unique educational journey for medical professionals. Seamlessly blending theoretical knowledge with practical application, participants embark on their first steps into the world of data analysis through R programming. By the course’s end, attendees will possess a robust understanding of data analytics, equipping them to excel in their respective fields.
Registrations to this programme are ongoing. You can register whenever you are ready!
What you get
Distinguish between R and RStudio, along with other R packages
Acquire the ability to structure and transform data according to desired outcomes
Understand the concept of “version control” and how to effectively use it
Learn the basics of data visualisation techniques
Develop the ability to document their work at a fundamental level
Select the most appropriate types of data visualisation
How it works
1. REGISTER
Sign up and pay for the programme quickly and easily online.
2. LEARN
Access online video modules whenever it suits your schedule.
3. TEST
Complete knowledge assessments at the end of each module.
4. GET CERTIFIED
Complete the course and gain a certificate to demonstrate your learning.
Curriculum
Each module is designed to equip participants with specific knowledge and skills relevant to data entrepreneurship in healthcare, health data management, intellectual property rights, programming in R, statistical analysis, deep learning, machine learning, and data integration in healthcare settings.
- Module 1: Data-Driven Entrepreneurship in Healthcare
- Module 2: Health Data Management
- Module 3: Ownership of IP Rights in Medical Data
- Module 4: Introduction to R and R Studio
- Module 5: Statistics in R and RStudio in Medical Science
- Module 6: Deep Learning in R and RStudio
- Module 7: Machine Learning in R and RStudio
- Module 8: Data Integration
- Module 9: Cybersecurity and data protection
- Module 10: Ethics of collecting and using healthcare data responsible
What you'll learn
Eligibility Requirements
This programme is open to active members of medical staff and professionals working in management or non-medical positions in hospitals and healthcare related organisations.
EIT Label
This course is accredited with the EIT Label: European certificate for innovation within education.
Get in contact
Dominik Durma
Centre for Innovation and Technology Transfer
Medical University of Lodz
Partners
Friedrich-Alexander-Universität of Erlangen
Erlangen University Hospital
Hospital Clinic of Barcelona
