UNDERSTAND THE IDEAS. PUT THEM TO WORK.

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TRY A LESSON EXAMPLECausal Data Science

Who benefits from a coupon?

An average effect can hide very different responses.

Illustrative coupon effect by past spending A known effect curve rises from almost zero to almost 20 dollars. At 115 dollars of past spending, the conditional average effect is 17.62 dollars. This is an illustrative population curve, not an observed individual effect. 05101520306090120 Average = $10 Past monthly spending ($)Coupon effect ($)
$30Move the slider to explore$140

Ozzy · Example explanation

At $115 of past spending, the illustrative effect is $17.62. That is an average for similar customers, not a guaranteed effect for one person.

Based on a known teaching curve from the course. This preview is not a live AI conversation or an analysis of customer data.

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YOUR NEXT STEP STARTS HERE

Build understanding.
Then build something with it.

From the foundations of statistics to the decisions behind a marketing campaign.

4 courses · 3 applications

LECTURES

Learn the ideas behind the answer.

Read clearly. Explore interactively. Ask when it clicks—or when it doesn’t.

Causal Data Science

Understand what changes outcomes, not just what predicts them.

For students & data practitioners

English · Türkçe

Explore the syllabus
  • Potential outcomes, DAGs and confounding
  • Experiments and observational designs
  • Causal ML, uplift and marketing mix models

Mathematical Statistics

Make sense of sampling, estimation and hypothesis testing.

For undergraduate & graduate students

English · Türkçe

Explore the syllabus
  • Sampling distributions and estimators
  • Confidence intervals and hypothesis tests
  • Interactive practice and assessments

Time Series Forecasting

Understand trends, dependence and the uncertainty in a forecast.

For students & analysts

English · Türkçe

Explore the syllabus
  • Time dependence, trends and seasonality
  • Forecasting models and diagnostics
  • Evaluating predictions and uncertainty

Introduction to Machine Learning

Connect statistical thinking with practical learning in Python.

For students & aspiring practitioners

English · Türkçe

Explore the syllabus
  • Prediction, regression and classification
  • Model complexity and validation
  • Statistical learning with Python

APPLICATIONS

Bring a question. Explore your data.

Tools for marketing decisions, with guided data preparation and Ozzy support.

Marketing Mix Modeling

How do marketing channels relate to sales, and how could the budget be allocated?

See what it does
  • Prepare and upload weekly marketing data
  • Explore channel contributions and response curves
  • Compare model-based budget scenarios

Causal interpretation requires justified assumptions and validation.

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Campaign Diagnose

What did a campaign change, and how do estimated effects differ across customer groups?

See what it does
  • Prepare treatment, outcome and baseline data
  • Estimate average and grouped effects
  • Inspect uncertainty and overlap diagnostics

Estimates depend on the study design, assumptions and data support.

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Campaign Plan

Who should receive the next campaign, given estimated uplift, costs and capacity?

See what it does
  • Upload estimated customer-level action scores
  • Compare expected incremental profit
  • Explore targeting limits and export a plan

A planning scenario is not proof that the predicted gain will occur.

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WHO WE ARE

Dr. Özgür Asar

Associate Professor of Statistics

OzzyLab brings together academic teaching and industry experience in statistics, machine learning and causal inference. Courses are created by Özgür Asar, formerly Co-founder and Head of R&D at Senzai and Staff Research Scientist at Afiniti.

He has taught data science courses at undergraduate and graduate levels at Sabancı University, as well as courses in Medical Informatics at Acıbadem University.

The goal is simple: help you understand the reasoning behind a method, when it works and what its results can tell you.

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A FEW THINGS TO KNOW

Before you begin.

Which languages are available?

Current learning content is available in English and Turkish. Availability is shown with each course; additional languages are not promised at this stage.

Can I enroll or buy an application today?

Paid enrollment is not open yet. Mathematical Statistics is accessible to existing invited learners. Other courses are in preparation; application previews are currently limited to instructors.

Does a course include the applications?

No. Courses and applications are separate products. Application access and pricing will be announced separately.

Can I rely on every AI answer?

No. Ozzy can help explain and explore ideas, but AI answers can be wrong. Check calculations, assumptions and course materials, especially before making real-world decisions.