Health data analytics and bioinformatics are revolutionizing patient care and healthcare operations through advanced data analysis. In this in-demand field, you will learn to leverage data to gain insights into health information, make informed decisions, and enhance patient outcomes. You will also gain skills in using bioinformatics software to analyze DNA sequences, identify genetic variations, and integrate biological data with electronic health records.

Health Data Analytics and Bioinformatics professionals are employed in diverse places, such as:

1. Hospitals, clinics, and medical practices
2. Health research organizations
3. Health-focused NGOs
4. HealthTech Companies of all Sizes
5. Electronic health record (EHR) management companies
6. Health departments within various organizations
7. Health insurance providers
8. Healthcare consulting firms

Career Roles In Healthcare Data Analytics and Bioinformatics

1. Healthcare Data Analyst
2. Clinical Data Manager
3. Bioinformatics Specialist
4. Bioinformatics Analyst
5. Health Informatics Specialist
6. Healthcare Business Analyst
7. Clinical Research Data Specialist
8. Healthcare Statistician
9. Population Health Analyst
10. Health Data Scientist
11. Biostatistician
12. Medical Claims Analyst
13. Biostatistician
14. Epidemiologist
15. Health Information Manager
16. Pharmaceutical Data Analyst
17. Clinical Decision Support Analyst
18. Quality Improvement Analyst
19. Healthcare Data Scientist

Benefits of Training with Us

Benefit	Description
A Trusted Name	We are a leading provider of training in health data analytics and bioinformatics, known for producing skilled professionals who succeed in international health and research sectors.
Innovative Learning	Our program uses cutting-edge teaching methods and industry-standard tools, preparing you with practical skills to excel in health data analytics and bioinformatics.
Dedicated Instructors and Mentors	Learn from a team of experts from Nigeria, the U.K., the U.S., and Canada, all dedicated to supporting your journey and success in health data and bioinformatics fields.
Certification & Portfolio	Earn a certification in Health Data Analytics and Bioinformatics, and develop a project portfolio to showcase your skills to potential employers or research institutions.
Career Coaching for Health and Research Roles	Our program includes specialized coaching on securing roles in health data, bioinformatics, and research sectors, along with access to top remote and in-person job opportunities.

This training program is designed for individuals looking to make a transition into or upskill in Health Data Analyst or Bioinformatics roles in Nigeria, the UK, Canada, the US, and other Countries.  

Training Curriculum

Welcome Class and Orientation

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

Statistics for Health Analytics

Area	Description
Understanding Key Statistical Terms	Learn essential statistical terms such as mean, median, mode, standard deviation, and p-value, as well as concepts of regression analysis and hypothesis testing to effectively interpret and analyze health data.

Introduction to Health Data Analytics

Area	Description
Fundamentals of healthcare data	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.

Health Data Visualization

Area	Description
Using Advanced Microsoft Excel	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 Database 

Area	Description
Working with Clinical Databases	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

Area	Description
Case Studies	Design a project plan. Learn strategies for defining clear objectives, selecting appropriate data, and methodologies, and crafting actionable plans for diverse case studies.

Exploratory Analysis of Health Data

Area	Description
Python Programming	Perform various exploratory data analyses on diverse healthcare datasets. Clean data, perform statistical and data analysis, and draw out actionable recommendations using Python.

Predictive Models in Healthcare

Area	Description
Using Python	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 Cleansing

Area	Description
Understanding data quality	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.

Applied Artificial Intelligence 

Area	Description
Exploring AI	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 such as MLLM (Multi-Modal Large Language Model) for various healthcare use cases.

Medical Image Analysis 

Area	Description
Building CNNs with Python	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.

Bioinformatics in Healthcare

Topic	Description
Analyzing biological data	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.

Projects in Health Analytics

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

PROGRAM DETAILS AND FEE

Detail	Information
START DATE	January 23rd, 2025 – Please note, the start date may be adjusted. If any changes occur, the exact date in January will be communicated.
Training Mode	ONLINE PROGRAM (Live Instructor-Led Classes via Zoom) – Due to Foreign Students Participation, this program is ONLY offered as an Online Program.
Class Time	8:00 pm – 10:00 pm (Thursdays, Fridays, and Saturdays every week)
Course Duration	3 Months
Note	No prior tech or healthcare experience is required
Total Fee Payable	N250,000 (Nigeria Based, Instalment Available) OR £200 / $250 (For Foreign Based, Instalment Option Not Available)
1st Instalment (Nigeria)	N150,000 (Nigeria Based Participants)
2nd Instalment (Nigeria)	N100,000 (Due 40 days after your Training Start Date)

 

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