Healthcare Data Analytics

Healthcare Data Analytics professional program will equip participants with skills in working with health data. It could be investigating a population to determine causes of illnesses using electronic health record data or to help identify the best therapy choices for patients based on their historical health data. In this training, you will build end-to-end projects using data analysis and machine learning to implement simple-to-complex healthcare analytics tasks to automate health insights and improve healthcare delivery.

The demand for healthcare data analysts is projected to experience significant growth in the coming years. As the healthcare industry continues to generate vast amounts of data from electronic health records, wearable devices, genomic research, and other sources, the need for skilled professionals who can interpret and leverage this data is becoming increasingly critical at home and overseas.

A healthcare data analyst is a specialist who utilizes data analytics to enhance the quality and efficiency of healthcare services.

These professionals are employed in diverse settings, such as:

  • Hospitals, clinics, and medical practices
  • Health research organizations
  • Health-focused NGOs
  • Electronic health record (EHR) management companies
  • Health departments within various organizations
  • Health insurance providers
  • Healthcare consulting firms

Career Roles in Healthcare Analytics

  • Healthcare Data Analyst
  • Clinical Data Manager
  • Health Informatics Specialist
  • Healthcare Business Analyst
  • Clinical Research Data Specialist
  • Healthcare Statistician
  • Population Health Analyst
  • Health Data Scientist
  • Biostatistician
  • Medical Claims Analyst
  • Epidemiologist
  • Health Information Manager
  • Pharmaceutical Data Analyst
  • Clinical Decision Support Analyst
  • Quality Improvement Analyst
  • Healthcare Data Scientist

What you will Gain from the Healthcare Data Analytics:

  • ● Supportive and World-class training
  • ● Extra One-On-One support sessions
  • ● Practical teaching from very resourceful instructors
  • ● Certification and Solid Health Analytics Project portfolio
  • ● Employability skills
  • ● Career and Close Mentorship Newsletters
  • ● Modern and Robust Course content

Training Syllabus

Welcome Class and Orientation

Module: Meet your Instructors
Description: Discover the key goals and structure of the course. Your chance to get answers and clarity before we embark on this exciting upskilling learning.

Introduction to Health Analytics

Module: Fundamentals of healthcare data
Description: Explore the fundamentals of healthcare data, including types of data. Identify multiple sources of healthcare data. Organize the datasets based on project goals and objectives.

Healthcare Data Visualization

Module: Using Microsoft Excel
Description: Aggregate and combine healthcare data from various sources and transform them into visual dashboards. Facilitate the visual interpretation of data to identify trends and make informed decisions using advanced Excel.

Working with Clinical Databases using SQL

Module: Working with clinical databases
Description: Learn to work effectively with clinical databases using SQL. Create databases, tables, and query databases to provide insights to the medical staff to help them make more informed decisions.

Health Analytics Project Design

Module: Data-driven initiatives
Description: Plan initiatives that drive innovation and improve patient outcomes. Learn strategies for defining clear objectives, selecting appropriate data, methodologies, and crafting actionable plans for diverse data analysis.

Exploratory Data Analysis of Health Data

Module: Intro to Python

Description: Learn the building blocks of Python programming, starting with basic syntax and data types. You will gain a solid foundation in Python’s core concepts from variables and operators to control flow structures like loops, conditionals, and how to use functions.

Module: EDA in Python programming
Description: Perform various exploratory data analyses on diverse healthcare datasets. Clean data, perform statistical and data analysis, and draw out actionable recommendations using Python.

Building Predictive Models in Healthcare

Module: Using Python for Machine Learning
Description: Build predictive models for healthcare using data and an example machine learning problem. Preprocess data and fit machine learning models to clinical datasets for patient outcome prediction.

Data Quality Assessment and Preparation

Module: Understanding data quality
Description: Understand different data quality metrics and learn strategies to cleanse data for analysis that guarantees unbiased outcomes. Learn basic to advanced data cleaning in Python.

Artificial Intelligence in Healthcare

Module: Exploring AI
Description: Embark on an exciting exploration of Artificial Intelligence (AI) and its transformative role in the healthcare industry. Explore the fundamental concepts and relevance of AI in tackling various healthcare use cases.

Medical Image Analysis Using Deep Learning

Module: Building CNNs with Python
Description: Use Python to build Convolutional Neural Networks (CNNs) for image classification. Learn how CNNs can be trained to classify images, such as identifying diseases in medical images.


Module: Analyzing biological data
Description: Utilize Python packages to construct algorithms for analyzing biological data. Explore methods to process DNA sequences, RNA expression, and protein structures. Applications in genomics and personalized medicine.

Final Project in Health Analytics

Module: Applying acquired skills
Description: Leverage skills acquired throughout the course to embark on a final project in health analytics. Work with real-world healthcare data and model health outcomes. Package your solution for presentation and case study use.


  • Face-to-Face Program (Only Available in Abuja, Nigeria). Class Schedules: Monday, Wednesday and Thursday (10 am – 3 pm).
  • Online International Program (Join from any location, Classes are at 8 pm WAT ).

PROGRAM DURATION: 2 Months Intensive



  • ● U.K (Instructors Only teach Online Classes)
  • ● U.S/CANADA (Instructors Only teach Online Classes)
  • ● Nigeria (Instructors teach both Face-to-Face and Online Classes)

Note: This program will have instructors from a combination of these locations. You will normally be expected to be taught by instructors from any of these locations.

Payment of the Course Fee is Mandatory. Once you register you will receive the course brochure and the course fee.


What Our Trainees are saying