Data Informed in Research · Nepal & Global
I teach you to think in data & publish fast
Hi, I’m Mala Deep — data scientist, researcher & educator from Dolpa, Nepal. I help researchers, medical professionals, and students turn messy data into clear insights and get their work published in international journals.
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Why medical scholars
need data knowledge
Data literacy is no longer optional in medicine. It is the difference between research that changes practice and research that never gets published. Here is the evidence.
85% of medical research is wasted because of poor study design, weak analysis, and failure to publish. Master data analysis and you design flawless studies, publish faster, and lead grant applications — turning waste into breakthroughs.
43% of healthcare professionals are blocked by data skills gaps from advancing their careers. Gain data literacy and you can wield AI tools confidently, interpret statistics accurately, and drive evidence-based decisions — standing out in hospitals and academia.
AI-assisted clinical decisions will double by 2030. Data-savvy doctors and researchers will personalise care, reduce errors, and pioneer precision medicine — becoming the top earners and most sought-after professionals in the health sector.
Why many data courses don't work for medical scholars
Too Tool-Focused, Not Research-Focused
Most data science courses start with Python libraries, coding, and complex tools. But medical researchers and scholars often need to first understand data logic, study design, and interpretation before jumping into technical tools.
Without that foundation, tools become confusing rather than useful.
Built for Tech Careers, Not Research Workflows
Typical data science programs are designed for tech industry roles like machine learning engineers or software analysts. Medical and academic professionals usually work with a different workflow:
Most courses do not teach this research-oriented data workflow.
Heavy Technical Jargon
Many programs assume learners already have a strong programming or statistics background. For researchers, policy professionals, or healthcare specialists, this often creates a barrier to learning.
Instead of understanding insights, learners get stuck trying to understand the tools.
DataWithMala takes a different path
- Taught in Nepali + English, accessible, not intimidating
- Uses real health and medical datasets throughout and not generic business data
- Provides easy to follow framework like DTC, MALA, THINK and much more.
- Ends with a submitted research paper, not just a certificate
- Teaches responsible AI use in academic research
- Follow T-shaped for teaching.
Data scientist. Educator. On a mission to make every medical professional data-informed.
I’m Mala Deep — a data scientist, researcher, and educator from Dolpa, Nepal. I started teaching before I had impressive credentials. I taught because I had something to share and people who needed it. Over the years that has grown into something I never quite planned, a mission to make every medical professional in Nepal data-informed.
I have taught doctors, nurses, public health researchers, and students across Nepal and the UK. I have run 4 to 6 week intensive training programs for medical professionals through NMA and JNMA, and worked with researchers connected to WHO. I have stood in front of rooms of clinicians who thought data science was not for them — and watched them leave knowing how to analyse their own research.
My teaching has covered more ground than just Python and statistics. I have taught design psychology, human-computer interaction, data visualization, research writing, AI tools, and business strategy, because I believe data work is not a single skill.
Broad enough to connect with your clinical world — psychology, communication, research design, and AI tools. Deep enough to produce publishable, reproducible research. That is the philosophy behind every DataWithMala course.
Start your DRAX journey
Enroll now, no card needed. Data, Research, AI & eXperience.
My Commitment
Confident research growth, delivered to every student
We know that real results matter — for your career, your publications, and your confidence. That’s why every DataWithMala student gets hands-on guidance, the MALA Framework, and genuine support until they publish.
Choose how you want to learn with Mala
Whether you are a busy doctor, a full-time student, or a working professional, there is a learning path built for you.
1-ON-1
You have a dataset. You want to publish. I work with you directly, from cleaning your data to submitting your paper. Every session is focused on your specific research question, your field, and your timeline.
Most Popular
16 structured modules you can take at your own speed. Python, statistics, machine learning, visualization, research writing, and mindful AI use, all built around the MALA, DTC, THINK and much more Framework. Learn in Nepali, publish internationally.
Live Sessions
Learn alongside a small group of researchers and professionals. Weekly live sessions with Mala, peer feedback, shared datasets, and real accountability. You are not studying alone, you are building together.
Join the Nepal Healthcare Data Community
Connect with healthcare professionals and learners using data to improve health outcomes. Learn, collaborate, and grow together.
Step-by-step plan to unlock success.
1
Gain Clarity
Identify your goals, remove obstacles, and focus on what truly matters.
2
Build Strategy
Develop a personalized, actionable roadmap designed for sustainable business growth.
3
Take Action
Implement proven steps consistently to accelerate progress.
Real students. Real results
Growthix transformed how I lead my business. The coaching gave me structure, confidence, and real results I never thought possible.
Emily Walker
Founder
Working with Growthix gave me clarity and confidence. My revenue grew, my stress dropped, and I finally feel in control of my business.
David Carter
Founder & CEO
Growthix transformed how I lead my business. The coaching gave me structure, confidence, and real results I never thought possible.
Michael Reed
Managing Director
Growthix transformed how I lead my business. The coaching gave me structure, confidence, and real results I never thought possible.
Emily Walker
Founder
Working with Growthix gave me clarity and confidence. My revenue grew, my stress dropped, and I finally feel in control of my business.
David Carter
Founder & CEO
Growthix transformed how I lead my business. The coaching gave me structure, confidence, and real results I never thought possible.
Michael Reed
Managing Director
16 modules. Zero to published.
Each module is a standalone mini-course you can take individually — or enroll in all 16 as the full DRAX Master Program. Built around the MALA Framework. Mindful AI use throughout.
Frequently asked questions
Everything you need to know before you start. Still have a question? Book a free call and Mala will answer personally.
Mala Deep grew up in Dolpa — one of Nepal's most remote districts — where access to quality education was never guaranteed. When he discovered data science, he realised it could transform how people understand the world around them. But almost every data science course he found was built for software engineers or business analysts — not for researchers, not for healthcare professionals, and definitely not for Nepali speakers.
Medical professionals were sitting on valuable datasets with no idea how to analyse or publish them. Researchers had great questions but no tools to answer them. DataWithMala exists to change that — to make data science genuinely accessible to everyone, and to help researchers publish their work and be heard internationally.
But honestly — the certificate is the least valuable thing you will take away. What matters far more is that you finish with a real portfolio: your own analysed dataset, visualisations you created, and a research paper you submitted to a journal. That is what changes your career — not a PDF with your name on it.
Many of Mala's best students had zero coding experience before joining — nurses, doctors, public health officers, and business professionals who had never written a line of code in their lives. The course is deliberately designed so that concepts come before code — you will understand why you are writing each line before you write it. No jargon. No assumptions. Just clear, step-by-step teaching.
Medical professionals, researchers, PhD and Masters students, business analysts, public health workers, NGO staff, teachers, and anyone curious about data are all welcome. Module 8 specifically covers applied statistics for medical and clinical research, but every other module is universal.
Students from healthcare, agriculture, social science, finance, conservation, and education have all completed the course successfully. If you have a research question and some data — or want to find data — this course is for you.
Module 13 covers practical, hands-on use of ChatGPT, GitHub Copilot, Perplexity, and other research AI tools — with real exercises showing exactly how to use them in your data analysis and writing workflow.
Throughout DRAX the focus is on AI Detox — using AI to speed up your work while keeping your own thinking at the centre. You will learn where AI genuinely helps (structuring, summarising, formatting), where it hurts (analysis, citations, conclusions), and how to disclose AI use properly in academic journal submissions. AI gives you speed. Detox gives you credibility.
This is intentional: learn in your language, publish to the world.
The course is self-paced — you can go faster or slower based on your schedule. Live sessions are recorded so you can catch up if you miss one. This course is built for busy professionals — doctors with night shifts, researchers with teaching loads, students with other commitments. You do not need to quit your job or clear your calendar. You just need to show up consistently.
Leadership future insights
Training your team or organisation?
I offer custom in-person and online workshops for hospitals, universities, NGOs, research institutions, and corporate teams, tailored to your sector, your data, and your goals.