Photo of prof. dr. Deni Mazrekaj

About Us

Edooko was founded in 2023 by dr. Deni Mazrekaj, an award-winning professor and researcher with a deep passion for making high-quality education more accessible. After years of teaching at top universities, Deni recognized a recurring issue: many advanced statistics courses were either overly complex, prohibitively expensive, or not designed with the learner in mind.

Guided by the belief that anyone can learn anything if it’s communicated clearly and thoughtfully, he created Edooko to change that.

Deni Mazrekaj is a professor of sociology at Utrecht University and an affiliated researcher at the University of Oxford. He holds a Ph.D. in Economics from KU Leuven, has taught Advanced Quantitative Methods at the University of Oxford, and currently coordinates the Methods and Statistics course at Utrecht University. He also serves as an associate editor for the interdisciplinary Nature journal Humanities & Social Sciences Communications. His work has been recognized with multiple awards from the American Sociological Association and the European Academy of Sociology.

ALL COURSES
CONTACT US

01

Our Values

We have PASSION in all we do – Do what you love and love what you do is our motto!

We strive towards CONSTANT IMPROVEMENT – We believe in achieving each day more than yesterday and in continuous learning.

We only deliver the highest QUALITY – Good and great is not enough. Perfection is what we are after!

We truly believe in SIMPLICITY – Focusing on what really matters is what we do. We do not overcomplicate and we share what really matters.

02

Our Vision

To create a new generation of data scientists and researchers with relevant knowledge to create change in the world.

03

Our Mission

To deliver the best high quality knowledge that is simple, affordable and easy to understand.

What Our Students Say

Margo PetersMasters Student
I have taken several statistics courses before, but none have explained the concept of Instrumental Variables as clearly as this one. The instructor’s approach to simplifying complex ideas without compromising depth is exceptional. I now feel more confident in my data analysis skills.
Arjuna SinghPhD Candidate
The mix of theoretical insights and hands-on practice in this course was exactly what I needed. It’s one thing to understand the theory, but being able to apply it in real-world scenarios using Stata was invaluable. I highly recommend this course for anyone looking to deepen their knowledge of causal inference.
Jessica RobertsData Scientist
I didn’t expect a course on Instrumental Variables to be so engaging! The clear examples, real-life applications, and well-structured lessons kept me motivated throughout. I’m now using the techniques I learned in my own research with great success.
Mark BrownPhD Candidate
I was skeptical about how much I would be able to learn in a course without a strong math background, but this course exceeded my expectations. The instructors' clear explanations and intuitive approach made it easy to grasp the math concepts and apply them in my work. Thank you!
Zhong Sing YuStudent
I was intimidated by the math-heavy courses on quasi-experimental methods, but the "Instrumental Variables" course was exactly what I needed. The intuitive approach made it easy to understand and now I feel confident in my ability to apply these techniques in my research.
Zaid MahmoudData Scientist
As a data scientist, I struggled to understand quasi-experimental methods and how to apply them. This course not only provided a clear and concise overview of the concepts but also allowed me to practice using them in various scenarios. I feel much more prepared and confident in my abilities now.

Featured Course