Master Instrumental Variables
Without a Background in Math?

Master Instrumental Variables Without a Background in Math?

Stop wasting countless hours and money trying to research and understand complex methods.

Understand complex problems quickly in a matter of hours instead of weeks.

WARNING: The information in this program is powerful and could save you up to $10,000 in course fees, book costs, tutor expenses and your time.

Relevant To Even The World's Leading Universities

What Will You Learn

In just under 2 hours of jam-packed content for Masters and PhD students with limited math knowledge who want to learn econometric methods to address bias in regression analysis using proxy variables (instruments). Each course is broken down into short easy to understand videos.

Module 1

Correlation vs Causation

Just because two things are connected (correlation) doesn’t mean one causes the other (causation)—understanding the difference can prevent costly mistakes.

Module 2

Unmeasured Confounders

Unmeasured confounders are unobserved variables that can skew your data, leading to misleading conclusions.

Module 3

Reverse
Causality

Reverse causality occurs when the effect is mistakenly thought to be the cause, leading to misguided decisions.

Module 4

Randomized Control Trials

Randomized Control Trials (RCTs) are the gold standard for testing causal effects, ensuring that outcomes are driven by the treatment, not external factors.

Module 5

Quasi-Experimental Methods

Quasi-experimental methods help researchers measure causal effects when experiments like RCTs aren’t feasible, providing valuable insights without full randomization.

Module 6

IV - Intuition

Understand how Instrumental Variables arrive to a causal effect without having to randomize.

Module 7

Natural Experiments

Natural experiments leverage real-world events to assess the impact of certain factors, offering insights when controlled experiments aren’t possible.

Module 8

Two Stage Least Squares

Understand how to model Instrumental Variables in practice.

Module 9

IV - Assumptions

Understand when Instrumental Variables work and when they do not.

Module 10

Strengths and Weaknesses of IV

Each method has its strengths and weaknesses. You can find those of IV here.

Module 11

R Computer Lab: 2SLS

Solve a research problem using Instrumental Variables with R!

Module 12

Stata Computer Lab: 2SLS

Solve a research problem using Instrumental Variables with Stata! 2SLS

Why Should You Enroll

Take the principles we teach inside this insanely valuable program to enrich and provide depth to your research papers.

Intuitive
Approach

Do not let math anxiety hold you back! Our advanced courses are accessible to even those with a limited math background.

Pedagogically Structured

We leverage the expertise of education and pedagogy professionals to design courses that are easy to understand and remember.

Immersive
Materials

Designed by a creative director and read by a professional narrator, our courses tell a visual story to engage learners and facilitate understanding.

Course Overview

Couse Length

1h 50m

Modules

12 Modules

Course Supervisor

Prof. dr. Deni Mazrekaj

Course Materials

Instructional Videos

What will You Walk Away with After the Course:

Upon finishing a course on Instrumental Variables, you will be able to:

Understand the difference between correlation and causation as well as the underlying theory and assumptions of Instrumental variables.
Find appropriate instrumental variables and check if they meet the necessary conditions.
Use statistical software to estimate treatment effects using two-stage least squares (2SLS) and understand the results.
Analyze and critique studies that use instrumental variables.
Plan and design studies using instrumental variables in real-world research.

Get Access to Our Causal Inference course for ONLY $5:

Not sure whether this program is right for you? That’s no problem. Click on the button below and experience our Causal Inference course for the price of a cup of coffee.

“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!”

– Mark Brown

Who is this Course for?

Master Students, Ph.D. Candidates, Researchers, and Data Scientists
Those with a basic understanding of statistics
Those looking to enhance their understanding of quantitative methods
Anyone looking to better understand quasi-experimental methods
Students looking to save time and money
Students looking to add depth to their research
People looking for simple answers to complex problems

Who Should NOT Attend this Course?

Course Packages

Full access to 1 training module
Shortening your learning from weeks to less than 30 minutes
Simplifying for complex theories into easy-to-understand language
Taught by a professor

Access to 12 compact training modules
Halve your learning from weeks to hours
Receive years of research and learning compressed into just under 2 hours
Save time and move forward with your research
Simplifying of complex theories into easy-to-understand language
A program for those with a limited mathematical background

RECOMMENDED

Everything in the Master Instrumental Variables course
4 x 1-hour personal coaching sessions with a professor
Receive tailored advice to overcome specific challenges in your research or studies
Discuss your ideas in-depth and gain new perspectives from an expert in the field
Clarify complex concepts and improve your understanding of key topics
Accelerate your progress with targeted feedback and actionable insights
Elevate your work with direct access to expert knowledge

Edooko guarantees that if you put in the work and implement what you learn, you will have an elite-level understanding of the fundamentals of Instrumental Variables with limited mathematical experience.

If for some reason you don’t feel like that is true, then just shoot us an email at [email protected] within 5 days and we’ll refund you. It is that easy.

But if you’re like most students who have learned what we’re going to teach you here, this course will transform the way you think about Instrumental Variables (and for some of you, it’ll change your life!)

T&C’s apply

About the Course Supervisor

Our courses are always a team effort and include researchers, educational specialists, and content creators. The team for this course is led by an award winning professor, dr. Deni Mazrekaj

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. Deni has taught Advanced Quantitative Methods at the University of Oxford and is currently the coordinator of the Methods and Statistics course at Utrecht University. In his spare time, he is an associate editor of the interdisciplinary Nature journal Humanities & Social Sciences Communications. Deni has received several awards from the American Sociological Association, and the European Academy of Sociology for his research in sociology.

Not yet Satisfied? Here’s What Some of Our Students Have to Say:

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.

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.

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.

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!

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.

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.

Didn’t Find What You were Looking for?

Are Edooko courses right for me?

Edooko courses are suitable for researchers, PhD candidates, data scientists, and anyone with a solid grasp of statistics who is seeking to enhance their understanding of quantitative methods. Our courses are not beginner-friendly.

What are the prerequisites for taking courses?

To get the most out of our courses, we recommend that students have a solid grasp of undergraduate level statistics and mathematics. This includes a basic understanding of concepts such as probability, sampling, hypothesis testing, and regression analysis.

What types of assignments do you give?

The assignments we give may include quizzes, problem sets, written assignments, and projects. The specific assignments will depend on the course and may vary from one module to the next.

Can I learn at my own pace?

Yes, you can enroll at any time and learn at your own pace.

What payment options do you offer?

At the moment we offer PayPal, Visa, Mastercard, Discover, American Express and UnionPay.

Do you offer discounts?

Edooko is committed to making our courses accessible to as many students as possible. To that end, we offer discounts to students with disadvantaged backgrounds and students from low-income countries. If you fall into one of these categories and are interested in taking one of our courses, please reach out to us. We are here to help you succeed.

Master Instrumental Variables
Without a Background in Math?