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

A partir de 50.19 $ /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

Información adicional

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).

Lugar

Conectado desde Países Bajos

Acerca de mí

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.

Formación

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

Experiencia / Calificaciones

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

Edad

Adultos (18-64 años)

Tercera edad (65+ años)

Nivel del estudiante

Principiante

Intermedio

Avanzado

Duración

60 minutos

90 minutos

120 minutos

La clase se imparte en

inglés

griego

Habilidades

Estadísticas

Metodología

Programación

Disponibilidad en una semana típica.

(GMT -05:00)

Nueva York

En línea vía 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

50.19 $ /h

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.

Gaëlle

5.0

(3)

Most kids think coding is for "smart kids" or "future programmers."
It's not. Coding is how real people solve real problems.
In this class, we skip the theory. Your child creates real things.

What they'll do:
✓ Build real projects in Scratch: a working game, an interactive animation, a story they coded
✓ Program virtual robots: solve real-world challenges (navigate a maze, automate a task, build a system)
✓ Create in Minecraft Education: design worlds, automate constructions, solve logic problems
✓ Experiment with different languages: not just learn "the right way," but understand that there are many ways to think about a problem
✓ Collaborate and share: work with other kids, get feedback, improve their work
✓ Develop logical thinking: not just for coding, but for anything: solving math problems, science challenges, real-world situations

Why this is different:
We don't teach syntax. We teach how programmers think.
Most children's coding courses say "here's the code, copy it." We teach "what problem are we trying to solve? How could we break it into steps? What options do we have?"
When your child learns to think like a programmer, they can learn any language afterward.

What they take home:
A portfolio of 3–4 completed, working projects. The ability to say "I built this." And the deep understanding that code is a tool to make real things happen.

Format: Online or Barcelona | 60–90 min sessions | Flexible pace, no prior experience needed
For curious 8-12 year olds who want to build.

Matías

5.0

(3)

Python is one of the best, if not the best, language to start learning programming. It is also one of the most widely used languages today, especially in cutting-edge areas such as machine learning.

This popularity means that Python is constantly evolving. It offers a wide range of tools and libraries, which are free and very varied.

As an aeronautical engineer, I like to share my knowledge and derive satisfaction from it by teaching and motivating others.

I'm used to working with people of different ages. I believe in the importance of segmenting learning, visualizing progress, setting concrete goals and practicing regularly.

Beyond these general principles, there is no magic rule or method. Some approaches work with some students but not with others. Adaptation to individual needs is therefore the main objective of private lessons. So I will do my best to find what motivates and helps my student.

Lina

5.0

(3)

This lossons will help you understand and apply the fundamental concepts of probability and statistics.

We can cover topics such as:

- Counting techniques
- Key concepts and definitions in probability
- Key concepts and definitions in statistics
- Inferential statistics
- Confidence intervals and hypothesis testing
- Probability distributions

...and many more! This course will give you the tools to confidently analyze data and make informed decisions.

Enrique

5.0

(3)

Don't settle for anything less than excellence.
I am an Aerospace Engineer with a Master's degree in Quantum Physics and have completed Ph.D. work at the University of Cambridge in Computational Physics. Additionally, I have 4 years of experience developing MATLAB and possess deep programming skills in MATLAB/Simulink family, C/C++, Fortran, and Python.

With over 12 years of tutoring experience, I have successfully guided more than 50 students worldwide to achieve distinction in various fields. Consistent results are my priority, and I strive for excellence in all aspects of my teaching.

My lessons are customized to meet each student's unique needs and are designed to be engaging and insightful.

Whether you are at a school level or require advanced or professional-level instruction, I offer support in the following areas:
- Preparation for IB/IA, A-Levels, GCSE, University Entry, or equivalent.
- Experience in preparing students to access world-class schools and universities, including Cambridge University, Oxford, Ivy League and other top institutions in the UK and US.
- University levels (undergraduate and postgraduate).
- High school studies and diploma programs.
- Assistance with specific projects at a professional level, including job interview preparation.
- Extensive experience working with children.

Every lesson is meticulously planned in advance to ensure that it aligns with your goals and targets areas for improvement.
I prioritize a dynamic and interactive learning experience, with one-on-one sessions tailored to your individual requirements. Lessons will be conducted via webcam, enabling you to connect from anywhere.

I have a highly flexible schedule and can adapt to accommodate your needs.
If you have any questions about my teaching method, availability, or pricing, please don't hesitate to reach out. I am here to assist you and provide the support you need.

Magella

5.0

(3)

📊 University and International Statistics – Step-by-Step Guide

👩‍🎓 Industrial Engineer
📍 Online classes from Lima – catering to high school and university students

I teach statistics and data analysis in a clear, structured, and practical way, so you can solve exercises, understand the logic of the subject, and prepare in advance for your assessments.
⚠️ Statistics requires time, practice, and patience. Starting early makes all the difference.

🎯 Who is it for?
High school students taking the exam:
British system exams (GCSE / A-Level / IGCSE)
Assessments and certifications from American or English universities
University students taking Statistics or Probability courses
Thesis students who need calculation and sample selection.

🧠 How can I help you?
✔️ Guided resolution of exercises from homework, books and guides
✔️ Conceptual preparation for exams
✔️ Methodological advice for theses (not execution)
❌ I do not conduct official exams or assessments

💻 Modality

Classes via Google Meet, Use of interactive whiteboard
Step-by-step explanations, with exam-style examples

📚 Syllabus
Probability
Propositional logic and set theory
Basic concepts of probability
Conditional probability and total probability
Discrete and continuous random variables. Probability functions.
Mathematical expectation
Discrete distributions (binomial, Poisson, etc.), Continuous distributions
Descriptive and Inferential Statistics
Frequency distributions and statistical graphs
Measures of central tendency: Arithmetic and geometric mean
Median and mode, Quartiles, deciles and percentiles
Variance, standard deviation, interquartile range, coefficient of variation
Symmetry and kurtosis coefficients
Linear correlation
Standard normal distribution
Hypothesis testing (one and two samples)
F distribution and chi-square.
Time series

🖥️ Supporting software: Excel, SPSS
Spanish language class

Mauricio

5.0

(3)

Clases personalizadas para explicación de un tema, resolución de trabajos prácticos y preparación de exámenes. Las clases se ajustan a tu demanda. Trabajamos con tableta gráfica para exportar el contenido de la clase como PDF. Además, contamos con el uso de diversos software si fueran necesarios, como: Geogebra, Excel, R, Python. No pierdas esta oportunidad para reforzar tus conocimientos.

Stefano

5.0

(3)

Visión 360 del ciclo de vida del software
– Programación de 0 a 100 en Python, Java, Javascript, Typescript, C# y SQL
– Diseño de módulos y patrones de arquitectura (Patrones de diseño, SOLID, Clean Architecture, Hexagonal, DDD)
– Bases de datos relacionales (MySQL, PostgreSQL, MariaDB, SQL Server, Oracle)
– NoSQL (MongoDB, Firebase, Cassandra, Neo4J)

Procesamiento y análisis de datos
– ETL con pandas, Dataform, Airflow, Apache Beam
– Streaming con Apache Spark Streaming y Apache Flink
– Almacenamiento en Data Lakes, Data Warehouses y Lakehouses (BigQuery, Databricks, Redshift)

Desarrollo Backend y APIs
– REST con Spring Boot, FastAPI, Node.js
– Autenticación, pruebas unitarias (JUnit, pytest, Jest)
– Contenerización y despliegue (Docker, Kubernetes, CI/CD)

Frontend y automatización
– Manipulación del DOM, ReactJS, Next.js
– Testing end-to-end, integración de microservicios
– Scripts de automatización y web scraping

Donatella

5.0

(3)

Mi curso de francés, idioma extranjero ,está diseñado para un publico joven y adulto. Yo utilizo la metodología de la Alianza Francesa que se basa en el Programa de aprendizaje de idiomas de la UE. Consta de 4 niveles A1 principiante, , A2 intermedio , B1 avanzado y B2 nativo . El estudiante va a tener un aprendizaje integral en las 4 competencias del idioma que son la expresión oral y escrita y la comunicación oral y escrita.
El objetivo primordial es que el estudiante hable, comunicarse es el pilar de cualquier estudiante de idiomas.

Nandee

5.0

(3)

Esta clase está dirigida a estudiantes y desarrolladores que ya están aprendiendo JavaScript, Vue.js, Nuxt.js o Node.js, pero que necesitan apoyo directo para resolver dudas, desbloquearse y avanzar con seguridad en sus proyectos. El objetivo es ayudarte exactamente en lo que necesitas: depurar errores, entender conceptos que no te quedan claros y recibir orientación práctica para mejorar tu código.

Trabajaremos sobre tus propios ejercicios o proyectos: revisaremos tu código juntos, identificaré oportunidades de mejora y te compartiré buenas prácticas utilizadas profesionalmente. Si estás preparando una entrevista técnica o una certificación, también puedo ayudarte con ejercicios y estrategia de estudio.

Cada sesión se adapta completamente a tu nivel y a tus objetivos. Ya sea que recién estés comenzando o que ya tengas experiencia, estaré a tu lado para guiarte de manera clara, personalizada y sin sobrecargarte con teoría innecesaria. Avanzarás más rápido y te sentirás acompañado en tu proceso.

Si tienes errores que no sabes cómo solucionar, te atrancaste en un tema o simplemente quieres asegurarte de que estás programando de la mejor manera... ¡Aquí encontrarás el apoyo que necesitas para seguir creciendo como desarrollador!

5.0

(3)

This is not a class; it is the strategic starting point for your child's success in the digital future.

This 60-minute session is a premium diagnostic evaluation conducted by a Technology Educator with over 10 years of experience and specialized in SEN pedagogy. It is designed to go beyond simple tutoring:
This session is divided into three parts: Discovery, Diagnostic, and Deliverable.

1. Discovery & goal setting
- Technology Fluency Check
- The "Why" & The "Fear":
- SEN & Learning Style Review

2. Diagnostic & assessment
- The AI Myth Buster Test
- Prompt Engineering Trial
- The learning process
- Ethical Scenarios

3. Deliverable & Roadmap

3-Phase Roadmap: Upon completion, you will receive a Personalized Learning Roadmap detailing exactly:
The 3-5 priority AI concepts the student should master.
The safest and most age-appropriate AI tools for their needs.
A recommended coaching plan to build their confidence, creativity, and critical thinking.

Precise and specialized educational plan that guarantees your child will not only understand AI, but learn how to master it ethically and independently.

Alexander

5.0

(3)

Este curso está diseñado para personas que desean aprender programación y desarrollo web Full Stack, así como aplicaciones prácticas de Inteligencia Artificial, desde un enfoque claro, estructurado y orientado a proyectos reales.

A lo largo del curso aprenderás a desarrollar aplicaciones web completas, integrando Frontend y Backend, manejo de bases de datos y consumo de APIs. Además, conocerás cómo aplicar Inteligencia Artificial y automatización en proyectos reales, incluyendo el uso de modelos de lenguaje (IA generativa).

El enfoque es 100% práctico, basado en mi experiencia profesional como desarrollador senior y formador de bootcamps, con ejercicios guiados, buenas prácticas y acompañamiento constante para que puedas avanzar con seguridad y confianza.

Carlos

5.0

(3)

Création d'un site web.
Sous une distribution Linux ou Windows.
Installation de la dernière version de django
Installation de la dernière version de python, sous windows
Sous Linux configuration de environnement python.
Installation d'un IDE VSCODE

Dani

5.0

(3)

As a programmer and data engineer, I fully understand the academic and professional needs that are crucial for success in all sectors. We can learn everything from the basic syntax necessary to understand a language to advanced concepts such as backtracking and NLP.

Eryk

5.0

(3)

En este curso aprenderás a diseñar, ejecutar y automatizar pruebas de software aplicando las mejores prácticas de Quality Assurance (QA) utilizadas en proyectos reales de la industria.

Comenzaremos desde los fundamentos del testing de aplicaciones, entendiendo el rol del QA en el ciclo de vida del software, los tipos de pruebas y la correcta definición de casos de prueba. Luego avanzaremos hacia la automatización de pruebas mediante scripts, abordando conceptos clave como pruebas funcionales, regresión, validación de APIs y ejecución automatizada.

María

5.0

(3)

Soy María, Matemática en Sevilla. Tengo experiencia dando clases particulares, adaptando el ritmo a cada alumno, facilitando el contenido que se da en clase.
Me gusta dar atención total a cada uno de ellos, con ejercicios de refuerzo y resolución de dudas en cualquier momento (vía mensaje).