One-to-One
For professionals and researchers with work already under way, in Bangladesh or abroad. We build a plan around your project, your deadline, and your starting point, and classes begin when you approve it.
Mentorship and Consultancy
Learn Research the Way Working Researchers Do It.
Real papers. Real datasets. A mentor who does statistics for a living. From your first research question to results you can defend under review, we teach you the whole study: one-to-one, in a small cohort, or in a live class.
Tools We Teach and Use
R 
Python 
SPSS 
Stata 
Excel 
Power BI Mentorship
Three Ways to Learn With a Mentor.
Every format is taught live by a working statistician. The difference is how closely the teaching follows your own project: completely in one-to-one, through a study of your own in the Research Cohort, and through a shared course in a batch.
Research Cohort
Three to five students, one mentor, three months. You learn methodology, statistics, and software together, and each of you completes a study of your own, with a certificate anyone can verify.
Batch Course
A live course for fifty to a hundred students on a set subject, such as research methodology. Structured, built on real published research, and open to questions in every class.
Not sure which fits? Tell us what you want to learn and we will recommend one. Request a learning plan.
What you learn
The Whole Study, Not Just the Software.
Not a list of formulas, and not a software tour. We teach research itself: what a study asked, whether its design could answer it, and what its numbers can and cannot show.
The Whole Study, Start to Finish
Framing the question, choosing the design, measuring well, picking the method, and building the tables, right through to the methods section you will have to defend.
Statistics That Stay With You
Every idea starts from a published paper or a real dataset before any formula appears, so it still makes sense long after the class ends.
Software, Once the Idea Is Clear
SPSS, R, Stata, Python, or Excel, learned by rebuilding results you already understand, in the tool you will actually use.
Inside a real class
Two Slides From a Live Applied Biostatistics Class.
Every class is built from published papers and real data. Open a slide to see the full session and the notes the student keeps.
How it starts
From First Message to First Class.
Talk
Your goal, deadline, software, and where you are starting. A few lines is enough.
We Write the Plan
The topics, their order, and what each session should leave you able to do.
You Approve It
Read the plan and say yes, or ask for changes. Classes do not start until you agree.
Then We Teach
Slides made for each session, a written chapter you keep, and support between classes.
Research and data services
Need an Expert on Your Project?
For researchers and organizations, we also work as your statistical partner: consulting, analysis, evaluation, dashboards, and specialist data work. A second statistician reviews every project before it reaches you.
Research and Academic Work
Consulting and statistical support for theses, surveys, and papers.
- Thesis and Dissertation Support
- Survey and Questionnaire Design
- Manuscript and Reviewer Support
- Research Consultation
Data Work for Organizations
For NGOs, development projects, hospitals, businesses, and government teams.
- Evaluation and M&E
- Dashboards and Reporting
Specialist Analysis
For projects that need machine learning, omics data, or careful handling of clinical data.
- Machine Learning and Predictive Modeling
- Bioinformatics and Health Data
Who we work with
Students, Researchers, and Organizations.
Whether you are learning research for the first time, answering a journal reviewer, or reporting to a donor, you work with the same team and the same review standard.
Students
Learn to plan, analyze, and defend your own thesis research, with a mentor beside you from the first question to the final table.
Researchers and Academics
Statistical consulting for studies and papers: sound methods, clear tables, and honest answers to reviewer comments.
Organizations
Surveys, evaluations, dashboards, and reports for NGOs, development projects, hospitals, businesses, and government teams.
Clients Outside Bangladesh
Everything we do works online. The scope, timeline, and payment are agreed in a quote before any work begins.
- Public health
- Epidemiology
- Clinical research
- Bioinformatics
- Statistics
- Data science
- Environmental science
- Sustainable development
- Development and M&E
- Education
- Business and management
- Business analytics
- Economics
- Agriculture
- Social science
- Population studies
- Psychology
- Nursing and allied health
- Your field
Mentors and specialists trained in statistics and data science at the University of Rajshahi and abroad.
Every class plan and every project goes to the person whose methods and field fit it best.
A second statistician reviews the method and the write-up before anything reaches you.
We teach and work in R, Python, SPSS, Stata, Excel, and Power BI.
Boundaries
What We Will Never Do.
No Ghostwriting
We never write theses, papers, or assignments for anyone. Students learn to do the work themselves; we teach, check, and explain.
No Fabricated Results
We never invent data, manufacture findings, or cut corners to reach a result.
No Outcome Guarantees
We do not promise publication, grades, approvals, or funding. Those depend on other people’s judgment.
Student Reviews
What Students Say
In their own words, including what they think we should do better.
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My main issue with online courses has always been that I finish watching everything and then forget half of it when I actually need to use it. Had a similar problem in the beginning here too. I think the course could benefit from more follow-up assignments and feedback. But I did learn how to approach a research question and plan the analysis instead of randomly trying different tests. Still not an expert obviously, but definitely more confident than before.
Samin Farhan -
থিসিসের ডেটা কালেকশনের পর প্রায় একমাস কিছু করতে পারি নাই। কোথা থেকে শুরু করব সেটাই বুঝতাম না। Stat.BD থেকে শেখার পর অন্তত নিজের অ্যানালাইসিসটা শুরু করতে পেরেছি। আগে সুপারভাইজার মেথড নিয়ে কিছু জিজ্ঞেস করলে ভয় লাগত। এখন সব না পারলেও নিজের কাজটা মোটামুটি বুঝিয়ে বলতে পারি। আমার জন্য এটাই অনেক।
আরিবা নাওয়ার -
Stat.BD এর teaching approach ভালো লেগেছে। But I think assignment গুলা আরেকটু challenging হওয়া উচিত। কারণ practice dataset এ সবকিছু মোটামুটি clean থাকে, নিজের research data তো এত clean না ভাই 🙂 প্রথমবার নিজের dataset নিয়ে বেশ ঝামেলায় পড়ছিলাম। যদিও এখন অনেক কিছু নিজে solve করতে পারি। Overall fundamentals clear করার জন্য ভালো, but advanced level এ যেতে আরো practice লাগবে।
রাফিদ আদনান -
Good course overall, but I wish there were more exercises with messy real-world datasets. The examples during class made sense, but when I tried my own data it wasn't that straightforward lol. That being said, the explanations of statistical tests and assumptions were genuinely helpful. I now understand a lot of things that I used to just memorize for exams.
Zayyan Rahman -
আমার কাছে কোর্সের সবচেয়ে ভালো দিক ছিল যে শুধু SPSS শেখানোর মধ্যে সীমাবদ্ধ ছিল না। রিসার্চের প্রশ্ন থেকে শুরু করে অ্যানালাইসিস পর্যন্ত একটা ধারনা পেয়েছি। তবে একটা বিষয় বলব, কিছু টপিকের পরে আরও বেশি প্র্যাকটিস করানো দরকার। কারণ ক্লাসে বুঝলেও বাসায় এসে একা করতে গেলে আবার আটকে গেছি কয়েকবার। তারপরও আগের তুলনায় অনেক ভালো অবস্থায় আছি।
সাফওয়ান মাহির
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I joined mainly for my thesis, and I was expecting more of a software training course. The first few sessions were a bit too theoretical for me tbh. But later I realised why those basics were important. I had previously watched tons of tutorials, still couldn't decide which test to use on my own data. I wouldn't say I can do everything independently now, but I can at least figure out what I'm supposed to do and why. That's a pretty big improvement for me.
Anika Nawar -
ভালোই ছিল কোর্সটা। তবে যারা একদমই স্ট্যাটিস্টিকস জানে না তাদের শুরুতে একটু সমস্যা হতে পারে। আমারও প্রথম কয়েকটা ক্লাস বুঝতে কষ্ট হইছে। পরে রেকর্ডিং আর প্র্যাকটিস করে বুঝছি। আসলে শুধু ক্লাস করলে হবে না নিজে ডেটা নিয়ে বসতে হবে। এই জিনিসটা আগে বুঝলে আরো ভালো হতো।
তাহসিন রেদোয়ান -
I liked the course but honestly সবকিছু যে একবারেই বুঝেছি এমন না। Especially regression part টা আমার কাছে একটু difficult ছিল। আর কিছু জায়গায় আরো examples দিলে ভালো হতো। But the good thing is, এখন অন্তত জানি analysis করার আগে কি কি চিন্তা করতে হয়। আগে শুধু YouTube দেখে SPSS এ click করতাম, output আসতো কিন্তু বুঝতাম না 😭 এখন নিজের thesis এর জন্য কাজ করতে পারছি আলহামদুলিল্লাহ।
সামিহা তাসনিম -
একটা জিনিস বলি, আগে ভাবতাম research মানেই অনেক complex কিছু, আমার দ্বারা হবে না। Stat.BD করার পর এই ভয়টা কিছুটা কমছে। এখন paper পড়ার সময় methodology section skip করি না আগের মতো 😂
তবে class এর বাইরে individual feedback আরেকটু বেশি পেলে ভালো হতো। কিছু জায়গায় নিজে try করতে গিয়ে আটকে গেছি। But overall experience positive ছিল।
আফরা মাহজাবিন -
সত্যি বলতে আমি আগে SPSS এর অনেক টিউটোরিয়াল দেখছি, কিন্তু নিজের থিসিসের কাজ করতে গিয়ে বুঝলাম আসলে কিছুই ঠিকমতো শিখি নাই 😅 Stat.BD এর ক্লাসগুলো করে বেসিক জিনিসগুলো অনেকটা ক্লিয়ার হইছে। বিশেষ করে কোন টেস্ট কেন করব এটা আগে বুঝতাম না। এখন নিজের ডেটা নিয়ে কাজ করতে পারছি। তবে কিছু ক্লাস একটু ফাস্ট মনে হইছে, নতুনদের জন্য আরেকটু স্লো হলে ভালো হতো।
মাইশা জারিন
FAQ
Answers Before You Get in Touch.
What should I send in the first message?
Your topic, your organization or university, where the data stands, any software you prefer, the output you need, and the deadline. A few lines is enough for the initial review.
Will you do my thesis or assignment for me?
No. You remain the researcher and the author. We teach you to do the work, and where your university allows outside statistical help, we support your analysis and explain every step. We never write chapters, papers, or assignments, and we do not complete graded work.
Do you guarantee publication, approval, or funding?
No. We focus on sound analysis and clear reporting. Whether a thesis passes, a paper is accepted, or a proposal is funded also depends on the study design, the data, the writing, and other people’s decisions.
How is my data handled?
Your files are confidential. Only the assigned specialist and the internal reviewer can see them. Working files are deleted within 30 days of project closure unless you ask us to keep them. Nothing is reused or shared.
Which tools do you use?
R, Python, SPSS, Stata, Excel, and Power BI, depending on the project and on what you need to reopen or maintain later.
Is Stat.BD one person or a team?
A team. Most of us trained in statistics and data science at the University of Rajshahi. Stat.BD is independent and not an official unit of the university. Each request is read first, then assigned to the person whose methods fit.
Do you work with organizations?
Yes. We work with NGOs, development projects, hospitals, businesses, and government teams on survey design, evaluation and M&E, data analysis, and dashboards. Each project is quoted after a free initial review.
Do you work with clients outside Bangladesh?
Yes. We work online with students, researchers, and organizations abroad. The scope, timeline, and payment method are agreed in the quote. We reply within 2–3 business days, Bangladesh time.
Can you help if my supervisor, reviewer, or client asks for revisions?
Yes, if the request stays within the agreed scope, or once a revised scope is confirmed. The aim is to keep the analysis coherent under feedback, not to restart the project.
What requests do you turn down?
Anything that needs false claims, fabricated data, misleading presentation of results, p-hacking, or analysis copied without understanding.
Where can I find a research mentor for statistics and data analysis?
Stat.BD teaches research methods, statistics, and software in three formats. One-to-one is for professionals and researchers, with a plan written around their own work. The Research Cohort is three to five students with one mentor for three months; each student runs their own study and earns a certificate that can be verified online. Batch courses teach a set course, such as research methodology, to fifty to a hundred students. Fields include public health, environment, development, education, business, and more. See https://stat.bd/mentorship/.
Start learning
Tell Us What You Want to Learn.
Send your subject, where you are starting, and any deadline. We will recommend a format and send you a plan. The first review is free.