Health Tech - 2026
This program is ideal for individuals transitioning into healthcare analytics from various fields, as well as professionals already working in health organizations who want to become more data-driven in their roles. By the end of the program, learners will have developed a healthcare-focused analytics portfolio demonstrating their ability to transform raw health data into actionable insights, support evidence-based decision-making, and optimize healthcare performance across hospitals, health tech companies, NGOs, insurance providers, and public health organizations.
3 Course instructors
Instructor led course
8 month duration
2 Month Internship
Course Duration
6 Months of Instructor-led classes with an option of 2 Months Internship
Projects
8 Projects
Course Description
This Health Tech Data Analytics program is thoughtfully designed for both beginners and professionals who want to apply data analytics specifically within the healthcare and health technology ecosystem. The program equips learners with in-demand analytical skills while grounding every concept in real healthcare use cases, from patient outcomes and hospital operations to public health and health insurance data.
Learners will gain hands-on experience with industry-relevant tools such as Excel, Power BI, SQL, Tableau, and Microsoft Fabric, using healthcare-inspired datasets including patient records, clinical operations data, health surveys, and population health metrics. The focus is on building the practical ability to clean, analyze, and visualize healthcare data accurately, ethically, and effectively.
With a comprehensive curriculum, hands-on support, and a strong emphasis on real-world healthcare applications, graduates of this program will emerge as health-data-savvy professionals, ready to thrive in today’s rapidly evolving health and health-tech industry.
Course Curriculum
Week 0
Introduction to Data Analytics
The Introduction to Data Analytics is for both beginner with no experience or experienced professionals, it covers the following modules:
Module 1: Tools and software Installation
How to Download Excel
How to Download Power BI
How to Download PostgreSQL I
How to Download PostgreSQL II
How To Install Tableau
Module 2: Welcome to Data Analytics
Welcome Address
Learning Structure and Roadmap
About Facilitators on the LMS
Stages of learning Data Analytics
Module 3: Introduction to Data Analytics
What is Data?
Types of Data
What is Big Data?
Data Analytics and Its Types
Differences between Data Analytics and Data Analysis
Careers in Data Analytics and its relevance
Module 4: Problem Solving
What is a problem?
Types of problems in data analytics
Problems in real-life as a Data Analyst
The problem-solving phase
Seven problem solving techniques
Crisp-DM Framework
KDD - Knowledge Discovery in Databases
Root Cause Analysis
Decision Trees
Pareto Principle
DMAIC Methodology
SWOT Analysis
Mental Maths
Module 5: Building a Portfolio
Portfolio Checklist
Experiencing VScode
Editing the HTML Template
Uploading your portfolio on GitHub Pages
Module 6: Optimize your LinkedIn Profile
Introduction
Creating your LinkedIn Profile
Uploading your Profile Picture and Cover
Crafting your headline
Your About Section
Work Experience
Education
Skills - Endorsements - Recommendations
Always Refer to your LinkedIn Pack
LinkedIn X JobAlytics
UK Visa Sponsorship LinkedIn Extension
Modifying LinkedIn Settings
Week 1
Excel for Analytics I
The Excel for Analytics I is for both beginner with no experience or experienced professionals, it covers the following modules:
Module 1: Introduction to Excel
Overview of Excel for Data Analytics
Introduction to Microsoft Excel
Cell Referencing
Module 2: Excel Operations
Excel Shortcuts
Paste Specials
Move or Copy Data
Hiding and Unhiding Rows/Columns
Freeze Panes
Grouping and Ungrouping Data
Module 3: Data Cleaning Functions
Introduction to Data Cleaning in Excel
TRIM Function
CLEAN and VALUE Function
UPPER, LOWER, PROPER and CONCATENATE
SUBSTITUTE Function
LEFT, RIGHT and SEARCH Function
UNIQUE and Remove Duplicate
Week 2
Excel for Analytics II
The Excel for Analytics II is for both beginner with no experience or experienced professionals, it covers the following modules:
Module 1: Data Analyst Toolkit
Data Validation and Conditional Formatting
Referencing, Data Validation and Conditional Formatting
Aggregate Function
Aggregate Function Vs Subtotal
IF, NestedIF and IFS
IF & And, IF & OR and IFERROR
Excel Table, Structured Referencing and COUNTIF
SUMIF(S) and AVERAGEIF(S)
Lookup Functions
Module 2: Extras - Excel Functions
Formulas and Functions in Excel 1
Formulas and Functions in Excel 2
Formulas and Functions in Excel 3
Index and Match
Vlookup
Xlookup
Text Manipulation in Excel
Week 3
Dashboarding with excel
The Dashboarding with excel is for both beginner with no experience or experienced professionals, it covers the following modules:
Module 1: Dashboarding Using Microsoft Excel
Dashboard Introduction
Exercise Intro
Data Analytics
Pivot Tables and Dashboard
Dashboard and Slicers
Module 2: Extra: Dashboarding Exercise
Pivot Table 1
Pivot Table 2
Pivot Table 3
Building your Dashboard 1
Building your Dashboard 2
Week 6
Introduction to Power BI & Data Modelling
The Introduction to Power BI & Data Modelling is for both beginner with no experience or experienced professionals, it covers the following modules:
Module 1: Introduction to Power BI
Introduction to Power BI
Why Power BI and not Excel
Power BI Architecture & Interface
Understanding the Power BI Workflow
Types of Data Connectors
Power Query Editor
Dax functions and M Language
Case Study - M Language
building your first dashboard PRT 1
building your first dashboard PRT 2
Build your firs Dashboard 3
Module 2: Introduction to Data Modelling
What is Data Modelling?
Why Data Modelling?
Concept of Primary and Foreign keys
Concept of Fact and Dimension Table
Types of Relationships in a data model
Types of Schemas
Build your first Data Model using Draw.io PRT 1
Build your first Data Model using Draw.io PRT 2
Export Draw.io Data Model
Write your first Calendar DAX
Calculated Column vs Measures
Case Study - Data modeling Deskify
Case Study - Creating Dax Measures
Case Study - Dashboard 1
Case Study - Dashboard 2
Case Study - Dashboard 3
Week 7
Intermediate Power BI (DAX and Dashboarding)
The Intermediate Power BI (DAX and Dashboarding) is for both beginner with no experience or experienced professionals, it covers the following modules:
Module 1: Intermediate Power BI (DAX and Dashboarding)
Web Scraping Tabular Format using Power BI Part 1
Web Scraping Tabular Format using Power BI - Case Study Part 2
Web Scraping Non-Tabular Format using Power BI- Case Study PRT 3
Connect Power BI to a Folder part 1
Connect Power BI to a Folder part 2
Connect Power BI to a Folder part 3
Connect Power BI to a Folder part 4
Connect Power BI to a Folder part 5
Connect Power BI to a Folder part 6
Connect Power BI to a API data source
Intermediate DAX Functions
AI Visuals - Case Study (Clarity Care)
AI Visuals Dashboard - Case Study (Clarity Care)
Dynamic Charts Intermediate Visualizations
Module 2: Case study on connecting Multiple Data Source
Case study Connect To Multiple Data Source 1
Case study Connect To Multiple Data Source 2
Case study Connect To Multiple Data Source 3
Case study Connect To Multiple Data Source 4
Case study Connect To Multiple Data Source 5
Week 8
Power BI Service
The Power BI Service is for both beginner with no experience or experienced professionals, it covers the following modules:
Module 1: Power BI Service
Introduction to Power BI Service
Case Study (Tri-Fleet Industries) Power BI Service
Loading the Dataset to Power BI Service
Building Tri-Fleet Industries Report
Signing In your Developer Account On Power BI Desktop
Defining roles for RLS (Row-level security)
create a workspace & publish your Report
Adding Team Members to a workspace
Implement Row Level Security (RLS)
Create A Dashboard in power Bi Service
Creating Apps in Power BI service for sharing reports
Creating Scorecard in power Bi Service
Week 11
Introduction to SQL
The Introduction to SQL is for both beginner with no experience or experienced professionals, it covers the following modules:
Module 1: Introduction to SQL (Structured query Language)
Introduction to SQL
Restore your NorthWind Database
SQL Syntax 1
SQL Syntax 2
SQL Syntax 3
SQL Syntax 4
Week 12
SQL For Data Analytics
The SQL For Data Analytics is for both beginner with no experience or experienced professionals, it covers the following modules:
Module 1: SQL JOINS
INNER JOINS
LEFT JOIN
RIGHT JOIN 1
RIGHT JOIN 2
FULL JOIN & ALIASES
Week 13
SQL Functions
The SQL Functions is for both beginner with no experience or experienced professionals, it covers the following modules:
Module 1: SQL Functions
Introduction To The Case Study
Download and extract the Database
Restore your Database
CASE & WHEN
COALESCE
CAST
Combining COALESCE, CAST & SUBQUERIES -1
Combining COALESCE, CAST & SUBQUERIES -2
Module 2: Extra
Case study connecting powerBI to PostgreSQL
Week 15
Tableau Basics, and Time Series
The Tableau Basics, and Time Series is for both beginner with no experience or experienced professionals, it covers the following modules:
Module 1: Introduction to Tableau
Introduction to Tableau
Values in Tableau
Advantages and Disadvantages of Tableau
Tableau Data Types
Metagrid in Tableau
Worksheet v Dashboard
Measures and Dimensions in Tableau
Marks Pane and Show me Tab
Basic Charts in Tableau
Filters in Tableau
Time Series Analysis
Data Prep and Modelling
Building Dashboard I
Building Dashboard II
Week 16
Dashboarding in Tableau
The Dashboarding in Tableau is for both beginner with no experience or experienced professionals, it covers the following modules:
Module 1: Dashboard in Tableau
Case Study on Tableau Dashboard- Visuals 1
Case Study on Tableau Dashboard - Visuals 2
Case Study on Tableau Dashboard - Visuals 3
Case Study on Tableau Dashboard -Visuals 4
Case Study on Tableau Dashboard -Visuals 5
Case Study on Tableau Dashboard -Dashboard I
Case Study on Tableau Dashboard -Stories
Week 17
Using ChatGPT for Data Analytics
The Using ChatGPT for Data Analytics is for both beginner with no experience or experienced professionals, it covers the following modules:
Module 1: ChatGPT
Using ChatGPT for Data Analytics Part 1
Using ChatGPT for Data Analytics Part 2
Using ChatGPT for Data Analytics Part 3
Using ChatGPT for Data Analytics Part 4
Meet Your Instructor
Amaka Daniels
Senior Data Associate
"Over five years of experience in data analytics and data science, utilizing tools like MS Excel, Google Sheets, Power BI, and Tableau to manage and visualize data effectively. - Statistical analysis with SPSS and Minitab, develop predictive models using Python and R, and execute advanced database queries with SQL to support data-driven decision-making. - Skilled in translating complex data insights into actionable strategies, fostering collaboration with stakeholders, and staying updated on the latest trends and technologies in the field. "
Mark Olafare
Senior Data Associate
Mark Olafare is a skilled Business and Data Analyst with expertise in Excel, Power BI, SQL, and Python. He specializes in transforming data into actionable insights through dynamic dashboards and data-driven solutions. With a passion for simplifying complex data, Mark helps businesses make smarter decisions and has trained over 100 aspiring data professionals.
Stanley Nwajagu
Senior Data Associate
Senior Data Associate with expertise in data analytics, leveraging advanced skills in Python, SQL, and Power BI and Excel to drive actionable insights and solve complex business problems. Passionate about empowering others with data skills, enhancing learning experiences, and fostering business growth through data-driven strategies
Job Opportunities
With our Health Tech - 2026 Cerificate, you get to work as any of the following:
Healthcare Business Analyst
Healthcare Informatics Specialist
Healthcare Data & reporting Analyst
Medical Data Analyst
Healthcare Data Analyst
Healthcare Process Analyst
Pathology Data Analyst
Clinical Decision Support Analyst
Patient Journey Facilitator
Healthcare Digital Transformation Catalyst
Course Reviews
Select your preferred pricing plan
As an edu-tech brand, we specialize in providing the essential skills and knowledge you need to unlock high-paying opportunities in the dynamic world of technology. Our mission is simple: to empower individuals to pursue their dreams and excel in high-demand tech roles through intensive, hands-on training.
8-Month Plan
Learners looking for extended industry exposure and advanced skill-building.
6 months of classroom learning + 2 months of internship.
Payment Plan: $200 per month for 5 months.
What You Get:
- Extended internship for in-depth practical experience.
- Access to all advanced course materials and certifications.
- Mentorship and career guidance throughout your journey.
