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

Von 50.08 $ /Std

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

Zusätzliche Informationen

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).

Ort

Online aus Niederlande

Über mich

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.

Bildung

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

Erfahrung / Qualifikationen

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

Alter

Erwachsene (18-64 Jahre alt)

Seniorinnen und Senioren (65+ Jahre alt)

Unterrichtsniveau

Anfänger

Mittel

Fortgeschritten

Dauer

60 Minuten

90 Minuten

120 Minuten

Unterrichtet in

Englisch

Griechisch

Fachkenntnisse

Statistik

Methodik-kurs

Programmierung

Verfügbarkeit einer typischen Woche

(GMT -04:00)

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

50.08 $ /Std

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.

Manoj

4.95

(21)

I am a Professional Full Stack Developer with over 15 years of hands-on experience in software engineering, system design, and artificial intelligence.
I’ve worked across frontend, backend, DevOps, and AI, building enterprise-grade systems for real-world applications — from large-scale microservices to cognitive AI platforms.

I’m passionate about teaching the real, modern way of coding — combining deep technical foundations with today’s most advanced technologies: Generative AI, Agentic systems, RAG architectures, cloud automation, and intelligent DevOps.

Whether you are a beginner exploring your first “Hello World,” a professional improving your stack, or a researcher/developer exploring AI systems, I can guide you step-by-step — conceptually, practically, and strategically.

🧩 What You Will Learn
🖥️ Front-End Development

Master how to build responsive, interactive, and high-performance interfaces:

HTML / HTML5 – Structure, semantics, forms, accessibility

CSS / CSS3 / SCSS – Layout, animations, responsive design, Flexbox, Grid

Bootstrap / Tailwind / Material UI – Rapid design frameworks

JavaScript (ES6+) – Functional programming, event loop, closures, async/await

TypeScript – Strong typing, interfaces, decorators, generics

React.js / Next.js – Components, hooks, state management, routing, APIs

Angular (1.x to 17) – Modules, dependency injection, RxJS, advanced architecture

Vue.js (optional) – Reactive programming, lifecycle management

jQuery / AJAX – Legacy support and backend communication

Web Performance – Lighthouse, Core Web Vitals, PWA, caching strategies

⚙️ Back-End & Enterprise Development

Build scalable, secure, and intelligent server-side systems:

C / C++ / Data Structures / Algorithms / OOPS

Java / J2EE / Spring / Spring Boot / Spring Cloud / Hibernate / Struts / Wicket

Microservices Architecture – API gateway, service registry, inter-service communication

Node.js / Express / NestJS – Modern JavaScript/TypeScript backend

REST & SOAP Web Services – API design, security, documentation (Swagger / Postman)

Python (Flask / FastAPI) – REST APIs, ML pipelines, automation

Shell Scripting (Linux/Unix) – Automation, cron jobs, log parsing, DevOps scripting

PHP / Laravel / CodeIgniter – Classic web backend development

Containerization & Orchestration: Docker, Kubernetes, Helm

CI/CD & Cloud: Jenkins, GitHub Actions, Azure DevOps Pipelines

☁️ Cloud & DevOps Mastery

Learn to build, deploy, and scale applications on the cloud:

AWS (EC2, S3, Lambda, DynamoDB, API Gateway, ECS)

Azure (App Services, Functions, CosmosDB, DevOps)

Google Cloud (GCP, Vertex AI, BigQuery, Cloud Run)

Monitoring & Logging: ELK Stack (Elasticsearch, Logstash, Kibana), Grafana, Prometheus

Infrastructure as Code (IaC): Terraform, AWS CDK, Azure Bicep

Version Control & Collaboration: Git, GitHub, GitLab, Bitbucket

CI/CD Pipelines: Build, test, deploy automation, rollback, release management

📱 App Development

Develop mobile and hybrid apps end-to-end:

Android (Java/Kotlin) – UI/UX, activity lifecycle, API integration

Hybrid Frameworks: Ionic, Cordova, React Native

Progressive Web Apps (PWA) – Offline-first, caching, mobile optimization

Firebase Integration: Auth, Firestore, Cloud Messaging

🤖 Artificial Intelligence & Machine Learning

Learn how modern AI systems are built and deployed:

AI Fundamentals: Neural networks, supervised/unsupervised learning

Machine Learning with Python: scikit-learn, TensorFlow, PyTorch

Natural Language Processing (NLP): Transformers, BERT, GPT

Computer Vision: OpenCV, YOLO, Image Classification

AI APIs & Integrations: Google DialogFlow, Azure Cognitive Services, OpenAI API

🧬 Generative AI, RAG & Agentic Systems

Special focus on real-world AI integration and automation:

Generative AI Models (GPT, Claude, Gemini, Llama, Mistral) – Practical implementation

Prompt Engineering – Designing powerful, reusable prompt frameworks

Retrieval-Augmented Generation (RAG) – Hybrid search + generation architectures

Agentic AI Systems – Building autonomous multi-agent workflows (e.g., AutoGPT, CrewAI)

Agentic RAG – Contextual memory, chaining, and reasoning systems

LangChain / LlamaIndex – RAG pipelines, document loaders, embeddings, vector DBs

Vector Databases: Pinecone, Chroma, Weaviate, FAISS

Knowledge Graphs & Context Management – Enterprise data linking with RAG

AI App Deployment: FastAPI + Streamlit + LangServe + Docker

Copilot & AI Tools: GitHub Copilot, ChatGPT API, Code Interpreter, Vertex AI Studio

Google AI Developer Kit (ADK) – Edge AI, TensorFlow Lite, Coral, and model serving

Voice AI & Conversational Design: Dialogflow CX, OpenAI Assistants, ElevenLabs

🔬 Data, Testing & Quality

Database Systems: MySQL, PostgreSQL, MongoDB, Oracle, DB2, Redis

Database Design: ERD, normalization, indexing, performance tuning

Testing Tools: JUnit, Mockito, Selenium, Cypress, Postman

TDD / BDD Practices: Unit, integration, and end-to-end testing

Logging & Monitoring: ELK, Splunk, Prometheus

Performance Optimization: Profiling, caching, concurrency

🧩 Operating Systems & Scripting

Windows / Linux / Ubuntu / Unix Administration

File Systems, Permissions, Networking, Process Management

Shell Scripting / Automation / Log Analysis

System Security and SSH Hardening

🧠 Bonus Topics

Mathematics for Programmers – Logic, combinatorics, probability, graph theory

Game Development Basics: Unity, Phaser.js, HTML5 Canvas

AI Ethics, Data Privacy, Responsible AI Design

Automation Projects & Web Crawling / Scraping: BeautifulSoup, Selenium, Puppeteer

No-Code / Low-Code Integrations: Zapier, Make, AI automations

Kevin

4.95

(21)

I offer you a new learning experience.

The focus is on practical application and theory is only introduced where intuition reaches its limits.

Whether you are a beginner or an advanced learner, my tailor-made lessons will accelerate your language acquisition in a positive learning environment.

You can book a complete course with regular sessions or individual lessons to overcome a specific problem, such as pronunciation or a particular point in grammar.

Learning a foreign language is not a linear process that consists of memorising a list of words, and speaking a foreign language is not an oral translation exercise.

There are two types of approaches to acquiring knowledge:

When asked what year follows 1999, you can immediately answer 2000 without having to think for a long time and, above all, without having memorised each number individually, starting with 1, 2, 3 ... You know that numbers are formed according to a certain pattern. With only ten digits, you can form an infinite number of numbers and always know which number comes next.

When it comes to the alphabet, words and sentences, it's more or less the same, but school pedagogy, school textbooks and regular lessons still follow the rote learning approach. In the lessons I propose, you will learn to use patterns because this is more efficient and faster.

Learning is easy, but unlearning bad habits is extremely difficult. This makes it all the more important to learn the right reflexes as early as possible.

My offer is aimed at both young people and adults who want to learn German or improve their knowledge without wasting time on nonsensical school methods.

I offer individual or group lessons for German. The methods are based on cognitive science and, in particular, comparative linguistics. My flexible programme can be tailored to your individual needs. The programme focuses on your independence in spontaneous conversations in real life.

What is particularly important to me:

motivating my students and help them establish a learning rhythm;
encouraging their creativity;
helping them become more familiar with the language;
teaching them the letters and their sounds;
strengthening their memory by training their phonological loop;
teaching sentence building plans instead of memorising sentences;
explaining how language works so that my students can become independent as quickly as possible.

I look forward to meeting you.

Hasmik

4.95

(21)

I am a graduate student in data science and very passionate about Math, Statistics. I can help students and pupils with current assignments, to prepare for class exams, tests. I am aware of the “struggle” students have with math and statistics subjects, and my tutoring methods make them to be passionate about seemingly complex subjects. I help them to understand the subjects in very practical ways and I am very student oriented. I am available on weekends and late evenings on weekdays.

Baia

4.95

(21)

Are you ready to create interactive, visually appealing websites that stand out in today’s competitive market? In this course, you’ll master the essential front-end development skills:

✅ HTML, CSS, and JavaScript – Build responsive and modern web pages
✅ React & Vue.js – Learn cutting-edge frameworks for dynamic UIs
✅ Real-World Projects – Work on hands-on projects to strengthen your skills
✅ Problem-Solving & Creativity – Develop intuitive, user-friendly interfaces

🔹 Who is this course for?

- Beginners who want to break into web development
- Developers struggling with front-end concepts
- Anyone looking to level up their skills and build real projects

🚀 Stuck on a project? Want to learn high-income tech skills?
This course will help you gain confidence, land opportunities, and grow in the tech industry.

📩 Contact me for more details and start your front-end journey today!

Ana

4.95

(21)

During the supervision of your maturity work, I accompany you during all the stages. From the "roughing out of the subject" to the defense of the work.
We look at the problem together, like writing a scientific work, a summary that presents the conclusions of the work. Several rereadings of it.
For those who present themselves as a free candidate, I can be your accompanying person.

Magali

4.95

(21)

I give the course the attention of students led by professors and am looking for didactic, pedagogical or organizational advice.
I am entrusted with the experience of a French and German professor at the age of 23 and have worked for several hours on my knowledge, the work routes, the teaching sequences, the work modalities, the support staff and the ability to respond to your questions and your doubts.

Abdallah

4.95

(21)

Benefits After Completing Our Course:
- Enhanced Problem-Solving Skills: Develop critical thinking and analytical skills, essential for high-demand careers such as data analysis, finance, engineering, and technology.

- Higher Earning Potential: Mastering Maths and Statistics can significantly boost your earning potential, as these skills are highly valued and sought after in the job market.

- Versatile Career Opportunities: Open doors to a wide range of career paths in sectors like business, economics, healthcare, and education, where analytical skills are paramount.

- Real-World Applications: Apply mathematical and statistical concepts to professional settings, improving decision-making and strategic planning capabilities.

- Academic Excellence: Achieve higher grades and a deeper understanding of maths and statistics, giving you an edge in academic and professional pursuits.

- Confidence in Numeracy: Build a solid foundation in maths, enhancing your ability to excel in interviews and on the job.

### Course Description: Maths and Statistics Lessons for All Stages and Syllabus

#### Overview
Our Maths and Statistics lessons are designed for learners of all ages and stages, from children to adults. We use fun and interesting methodologies to make learning engaging and effective. Whether you are a beginner or looking to advance your skills, our course covers a wide range of topics tailored to your needs. Lessons are available both online and offline in Egypt, providing flexible learning options.

#### Course Objectives
- **Mathematical Foundations**: Build a strong foundation in basic mathematical concepts.
- **Advanced Mathematics**: Explore advanced topics in algebra, calculus, and more.
- **Statistics**: Understand and apply statistical methods and concepts.
- **Fun and Engaging Learning**: Use interactive and enjoyable methods to make learning math and statistics exciting.

#### Key Topics
1. **Basic Mathematics**
- Arithmetic operations
- Fractions, decimals, and percentages
- Basic geometry and measurement

2. **Intermediate Mathematics**
- Algebraic expressions and equations
- Functions and graphs
- Probability and combinatorics

3. **Advanced Mathematics**
- Calculus (differentiation and integration)
- Linear algebra
- Advanced geometry and trigonometry

4. **Statistics**
- Data collection and organization
- Measures of central tendency (mean, median, mode)
- Probability distributions and statistical inference

5. **Fun and Interesting Methodologies**
- Interactive games and puzzles
- Real-world applications and projects
- Group activities and collaborative learning

#### Learning Outcomes
By the end of this course, participants will be able to:
- Solve mathematical problems with confidence.
- Apply statistical methods to analyze data.
- Understand and use advanced mathematical concepts.
- Enjoy learning math and statistics through engaging activities.

#### Delivery Method
- **Online**: Accessible from anywhere, providing flexibility for remote learners.
- **Offline**: In-person classes available in Egypt, offering hands-on experience and direct interaction with instructors.

#### Target Audience
This course is ideal for:
- Children and adults at any stage of their mathematical education.
- Students preparing for exams or needing extra support in math and statistics.
- Individuals looking to improve their math skills for personal or professional development.

#### Prerequisites
- No prior knowledge is required for beginners.
- For advanced levels, a basic understanding of math and statistics is recommended.

Ready to make math and statistics fun and engaging? Enroll now and start your journey towards mastering these essential skills with the expert instructor!
======================
Comment:

An experienced teacher at your disposal for:

- Methodology adapted to all levels.
- Upgrading.
- Consolidation of achievements.
- Preparation for an examination / competition
- Help with homework and lessons.
- Complementary exercises and review as controls and exams approach.
- Advice and supervision at the level of working methods.
- Recommended teaching methods.

At the level of my teaching methods, I use those that are advised pedagogically, I always try to explain and detail as much as possible the courses and I do not pass to the following stages until after making sure that the student understood what I explained.

As a teacher, I already have good experience teaching with students for 7 years. What is certain is that I always make sure to go as far as possible to explain the exercises.
Teaching is a telent.
Teaching is my passion. I enjoy helping the student to reach their goals and get the highest degree.
I like when i get a good result with students. The lecture is not only education, it is also fun. I use the most modern techniques.

Stephanie

4.95

(21)

I enjoy instilling confidence and passion for these fields and determining the right learning method for each student. My courses are designed for students from 6 to 20 years old, from beginner to advanced level in mathematics, statistics and/or physics.

Volodymyr

4.95

(21)

A Cambridge and UniVie Grad and a soon-to-start PhD student in Computer Science and Mathematics at ISTA to teach Maths, Stats, CS and/or Computational Biology/Programming modules.
Ich spreche auch Deutsch und kenne mich mit dem Schulmaterial (z.B. Matura) und Modulen aus Uniprogramm (BSc Mathe auf Uniwien) aus.

If your goal is not just to learn some formulas by heart, but to gain a deep insight into how mathematical topics are interconnected, or to get a hand at coding and how to think algorithmically to solve complex tasks – I am just the right fit for you or your child. Additionally, I am personally familiar with the British educational system – from A-Levels (3 x A*) to University (MSc/MPhil from Cambridge with distinctions).

Valérie

4.95

(21)

Bonjour à tous,

Passionnée par l’enseignement et l’accompagnement personnalisé, forte de 29 ans d’expérience dans l’enseignement, j’ai eu le privilège d’accompagner de nombreux élèves sur le chemin de leur réussite scolaire.

Mes services :
* Soutien scolaire : amélioration des résultats grâce à un accompagnement structuré, bienveillant et adapté aux besoins de chacun.
* Coaching scolaire & méthodes de travail : développement de l’autonomie, de stratégies d’apprentissage efficaces et d’une meilleure organisation.
* Travail ciblé sur la motivation, la concentration, l’estime de soi, ainsi que sur les techniques de mémorisation pour renforcer la confiance et la performance scolaire.

Chaque élève est unique, et je m’engage à l’aider à révéler son plein potentiel.

N'hésitez pas à me contacter si vous avez des questions :).
A bientôt,
Valérie

Kian

4.95

(21)

Data science, statistics & mathematics – clearly explained, personally supported.
My name is Kian, an experienced tutor from Bern. I support students, career starters, and professionals on their journey into the data-driven world—whether in their studies, projects, or everyday work.

With my structured, understandable, and motivating approach, I'll help you not only solve problems but also understand data, recognize connections, and make informed decisions. My lessons are personalized, efficient, and at eye level.

Who I am – and why I teach:
I teach in Bern and successfully completed the MAS program in Statistical Data Science at the University of Bern, focusing on statistics, mathematics, and data science. For several years, I have been passionately teaching, both in academic contexts and for professionals who want to think and work more data-driven.

In parallel to my teaching, I have implemented numerous data science projects – from exploratory analysis and data modeling to decision support in a business context. This combination of theory and practice makes my teaching particularly close to reality while remaining accessible.

I love making complex topics tangible, creating aha moments, and empowering people to handle data confidently. For me, tutoring isn't just about imparting knowledge—it's about developing their minds on equal terms.

-What you can expect from me:
One-to-one lessons with a focus on data comprehension, statistics & analytical thinking
Support with projects, assignments, exams or getting started in the data world
Practical explanations – step by step and adapted to your everyday life
Teaching modern methods for data analysis, modeling & interpretation
Long-term strategies for problem-solving & structured thinking
Flexible lessons in Bern or online – personal, competent & reliable

Why I can help you understand data science:
Because I work at the interface between science and practice. I know how quickly you can get lost in formulas and tools—and I'll help you see the common thread:
How data tells stories, how you analyze it, and how you make smart decisions.

With me, you won't just learn methods—you'll learn how to think with data. Whether in your studies or in your career, I'll guide you in truly understanding data and applying it confidently.
Learn data analysis.
Analyze and model complex data sets – understandable, practical and with structure.
If you're ready to get to grips with data, I'm ready to guide you.

Tereza

4.95

(21)

I teach mathematics from the basics to the Matura level – and also support students with complex topics. With clear explanations, targeted exercises, and individualized learning plans, I help you build understanding, pass exams successfully, and calculate with confidence. Suitable for school-age pupils, Matura students, and university students.

Danilson

4.95

(21)

This course is designed for students who want to gain a solid understanding of basic computer science concepts. It covers the logic behind computer systems, starting with the inner workings of a computer and progressing to topics such as networking, operating systems, and basic programming.

Whether you're considering a career in technology or simply want to better understand the digital world around us, this course will give you the tools you need to navigate the information age.

Edy

4.95

(21)

Doctor of Economics with a Master's degree in Statistics teaches statistics for secondary school, high school, gymnasium, vocational schools, apprenticeships, university (especially for economics).
Also: courses in econometrics, finance and business management.
Home schooling (up to 25 km from Neuchâtel), or at a location in Neuchâtel, or remotely with a webcam and a program such as Teams or Google Meet.

Rumen

4.95

(21)

My motto: With good explanations, anyone can understand difficult topics.
My profile: Expert in simplifying complex and abstract content.

Teacher training University of Cologne (German/Biology) and tutoring in applied linguistics.
Studied psychology (graduated with honors) at FernUniversität Hagen,conducted tutorials in statistics.
Native languages: German and English.

Several years of teaching experience in German as a foreign language, German, and biology at various age and level stages.
Successful experience in adult education (English as a foreign language) and tutoring in statistics.

Thanks to my dual professional training and experience as a teacher and psychologist, I can explain any content in a very clear, understandable, and application-based way for pupils and students. When teaching, I particularly enjoy offering you a simple and clear approach to complex and abstract topics. This allows you to have positive experiences as early as possible and enjoy learning. In addition, we can of course also address specific learning difficulties and learning techniques.

For successful teaching, I value a transparent structure in terms of content, comprehensibility, clarity, and a pinch of fun. My lessons are 100% tailored to your specific personal and school/university requirements.