Big Data Analytics in Healthcare

Micro-Credential Course | 6 ECTS | Beginner level

This entry-level programme is designed for healthcare professionals who want to develop foundational skills in programming and healthcare data analytics — no prior coding experience required.

Start Date: March 9

Course Duration: 2 months (8 weeks), 2 sessions per week, 2 hours per session


Why Join?

Healthcare is becoming increasingly data-driven. From electronic health records to public health datasets, professionals must be able to understand, clean, analyze, and visualize health data to support evidence-based decision-making.

What Will You Learn During the Course?

  • Understand the fundamentals of Big Data and its role in healthcare
  • Develop foundational skills in Python programming
  • Learn practical methods for data cleaning and preprocessing
  • Create basic data visualizations and interpret analytical results
  • Gain awareness of key healthcare data ethics and regulatory principles (HIPAA, GDPR)

Who Should Apply?

  • Medical doctors and nurses
  • Clinical researchers
  • Public health professionals
  • Healthcare administrators
  • Allied health specialists

Prerequisites

The Beginner Level micro-credential is designed as an entry-level programme. No prior programming experience is required.

Duration and Workload

The Beginner Level micro-credential carries 6 ECTS credits, corresponding to 150 hours of total learner workload, in accordance with the European Credit Transfer and Accumulation System (ECTS).

Indicative Workload Distribution:

  • Lectures and Seminars: 30 hours
  • Guided Practice and Assignments: 30 hours
  • Independent Study and Online Learning: 60 hours
  • Final Project and Assessment Preparation: 30 hours

Outcome

  • By the end of the course, participants will be able to:
  • Work with healthcare datasets in Python
  • Clean and prepare medical data for analysis
  • Create meaningful visualizations
  • Understand ethical and legal principles of health data use

💳 Tuition Fee 900 GEL (Total) *50% discount for students of the University of Georgia.

Includes full access to:

  • Expert-led lectures and seminars
  • Hands-on coding labs (Python)
  • Learning materials and LMS resources
  • Final project supervision

Upon successful completion, participants receive a Micro-Credential Certificate (6 ECTS).

 


Course Instructor: Kakhaber Tavzarashvili 

A physicist with extensive experience in conducting training sessions in physics, mathematics, and programming. He is an official Cisco trainer. He is proficient in Fortran, C++, and Python, mainly working in the areas of physical process modeling, data processing, and visualization. He is the Head of the Computer Engineering Program at the University of Georgia..