Read Health Data
Like Expert Researchers
48 lessons | 2.5 Hours of Learning | Lifetime Access | Watch it any time, as many times
For doctors, nurses, public health researchers and students in Nepal who want to read, evaluate, and use health data confidently, no coding required. Taught in Nepali + English.
Data Literacy for Healthcare
The only beginner-friendly course bridging medical knowledge with practical data skills, built for Nepal’s healthcare professionals and students.
What you can do after this course
Practical, job-ready skills you apply immediately in research, clinical work, and academic writing.
1
Dataset
Interpret medical and health datasets with confidence
2
Data Dictionary
Read, use and create data dictionaries like a professional
3
Data Source
Evaluate the reliability of any health data source
4
Trust
Apply the TRUST framework to assess dataset quality
5
38+ Dataset Platform
Find datasets from WHO, UN, and Nepal health platforms
6
Data Informed
Make data-informed decisions in research and practice
What makes this course unique?
Healthcare-first
Every example, framework, and dataset comes from real healthcare use cases, not generic business data.
Nepal-relevant
ncludes Nepal Health Informatics Ecosystem and a Nepal Medical Dataset Directory alongside global platforms.
Truly beginner-friendly
Zero prior data or coding experience needed. Built from the ground up for healthcare professionals.
Practical tools included
Frameworks, checklists, and cheatsheets you can use in real research and clinical settings right away.
3 modules, one complete journey
You are not studying a course. You are studying everything a Nepali healthcare researcher actually needs — in one place.
- A data definition you’ve likely never encountered
- Data vs Noise — why the distinction matters in research
- DIKW: Data → Information → Knowledge → Wisdom
- Types of data: value, storage, structure & source
- Data Types Vs Types of Data
- Practical: explore a real dataset & classify variables
- Deliverable: Data Classification Worksheet
- What is a dataset?
- Structured of Dataset
- Understanding & using data dictionaries
- Key Component of Data
- Common ways to describe dataset size
- Characteristic of Real World Medical Datasets
- Data Dictionary Worksheet
- Types of Datasets by Access Level
- Restricted Dataset
- Proprietary Dataset
- Major Global Public Data Platforms
- Machine Learning Data Platforms
- Kaggle Walkthrough
- UCI Machine Learning Walkthrough
- TRUST Framework for Dataset Quality
- Nepali Datasets Platform Comparison
- Nepal & Global Health Dataset Directory
- Dataset Evaluation Checklist (downloadable)
- All in one Cheatsheet
Data Literacy for Healthcare
NPR 7,500
NPR 15000- Completion Certificate (PDF)
- Research-ready Datasets
- Nepal Health Dataset Directory
- The 1-on-1 Mentorship
- WhatsApp Data Researcher Community
- Lifetime Access
- Access through both the app and website
✓ No prior experience needed
Limited Seat
Only 25 Researcher Slots Available
Payment Method
Unable to perform international payments? Contact us directly for course access. WhatsApp
Included with your enrollment
Three ready-to-use resources you keep forever, no extra cost.
Module Recap Cheatsheets
HTML + PDF versions for every module. Quick-reference for revision, presentations, or daily use.
Dataset Evaluation Checklist
Step-by-step checklist to assess quality and reliability of any health dataset before using it.
Nepal Health Dataset Directory
Curated list of Nepal medical and global health datasets with quick comparison notes.
Real students. Real results
Python has allowed me to complete tasks more quickly than other programs like SPSS. I have also learned about many new AI tools that will certainly assist me in various aspects in the future.
Dr. Leison Maharjan
I’m thankful for the experience, really got to learn a lot from Mala Sir. He goes the extra mile in all he does.
Lavender Kagendo | Kenya
This is not a course. It is the research toolkit Nepal’s healthcare system never gave you.
Dr. Sampada
Mala’s advice are backed by his years of experience and knowledge in Data Science. He’s great at suggestion and very insightful. I highly recommend you to reach out to him.
Dr. Bikash
… Before taking this training, I literally had zero knowledge regarding Data Science and AI, but the way you taught us the basics and guided us through the higher technical stuff in simplest of terms is truly praiseworthy sir…
Dr. Sujaya Gupta
Hajurko class attend garepaxi xutai energy aauxa, yesto feel hunxa k i am going work super hard jasto…holistic approach to uplift ones career apart from just data analysis…
Dr. Anna
Frequently asked questions
Everything you need to know before you start. Still have a question? Book a free call and Mala will answer personally.