Statistics: theory and applications (R/Python/SPSS)

Van 50.21 $ /h

This class will provide students with private tutoring tailored to the needs of their BSc./MSc. classes, enriched with additional educational material and personalized explanations based on the scope and level of their course. The tutorials may cover statistical/econometric material for analyses pertaining to the disciplines of psychology, economics, policy evaluation, management, political science, sociology and more.

This class may cover any of the following topics:

- Hypothesis Testing, Analysis of Experimental Data, Power, Effect Size
- Parametric Inference and Estimation (i.e., regression, t-test, chi-square test)
- Causal Inference with Observational Data (i.e., instrumental variables, difference-in-differences, regression discontinuity)
- Probability Theory (i.e., LLN, CLT, probability distributions, Bayes theorem)
- Non - parametric and Machine Learning methods (i.e., supervised classification/regression techniques, unsupervised/clustering techniques)
- Coding in R, Python and SPSS
- Quantitative methodology and evaluation of analysis results

Extra informatie

Lessons can be held online (via Zoom, Skype or some other preffered platform) or at a physical location if possible. It is also possible to schedule classes with more than 1 person (max 4).

Locatie

Online vanuit Nederland

Over

I have worked as a full time Lecturer and Tutor at Erasmus University Rotterdam for more than 6 years, teaching several courses in statistics and quantitative methods, as well as supervising students in their BSc. thesis. At the moment I work as a Data Scientist at a large consulting firm in Amsterdam.

I have experienced the joy and rewards of teaching when students achieve their academic goals and I continue my teaching activities at Erasmus University as a guest lecturer. However, teaching small scale interactive classes is what I have always enoyed the most and would like to focus on.

I have received thousand student evaluations over the years and according to them some of my most salient characteristics as a tutor are: patience, clarity of explanations and the ability to create a safe environment for questions and reflections on the material. In my classes, students are placed in the driver's seat and learn from their mistakes at a pace that is optimal for them and their needs.

Opleiding

MSc. Behavioural Economics, Erasmus University Rotterdam - Thesis: 8.5/10
MSc. Policy Economics, Erasmus University Rotterdam - Thesis: 9/10
Certificate Statistics & Data Science, MITx

Leservaring

6+ year of teaching experience in statistics and quantitive research methods at Erasmus University Rotterdam, including teaching small scale interactive classes, lecturing, designing high quality interactive teaching material, thesis supervision and coordination of large classes with 200+ students.

Courses:
- Quantitative Research Methods & Analysis with R
- Intermediate Statistics I & II
- Introduction to Statistics & SPSS

Leeftijd

Volwassenen (18-64 jaar oud)

Senioren (65+ jaar oud)

Niveau van de leerling

Beginner

Gemiddeld

Gevorderden

Duur

60 minuten

90 minuten

120 minuten

De les wordt gegeven in

Engels

Grieks

Vaardigheden

Statistiek

Cursus methodologie

Computer programmeren

Beschikbaarheid typische week

(GMT -05:00)

New York

Online via webcam

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

Empirical project supervision in academia and industry

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This class will provide students with personalised, end-to-end guidance/supervision in empirical research projects. This could entail BSc./MSc. theses, academic projects/assignments or industry related work. These classes will provide hollistic support in all aspects of the empirical project, from data understanding, analysis, careful interpretation of the results and presentation through captivating and coherent storytelling. The class can also provide support with code implementation in R/Python/SPSS.

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Course Overview
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✅ Object-Oriented Programming (OOP) concepts

✅ Libraries for real-world tasks (e.g., pandas, matplotlib)

✅ Problem-solving strategies and debugging techniques

Teaching Style
Hands-on learning: You’ll write code in every session.

Project-driven: Build mini-projects like calculators, data visualizations, or simple web apps.

Adaptable pace: Lessons tailored to your level and goals (academic, professional, or hobby).

Who Is It For?
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Practical Details
📍 Online or in-person (depending on your location)

⏱ Flexible scheduling to fit your availability

🧑‍🏫 Personalized guidance with clear explanations and exercises