Statistical Analysis for Various Projects (Especially Thesis)

Van 19 € /h

Like most students, you probably received little to no education in statistics and now your future hangs on the quality of your statistical analyses...

Fret not! Together we can find the significance and leave a lasting impression on your supervisors! Furthermore, the obtained knowledge will without a doubt help you in future.

This class focuses on boosting your projects through practical data analysis in R software.

Extra informatie

Bring your own laptop.

Locatie

Online vanuit België

Over

I obtained a First-class Genetics BSc from the University of Glasgow and magna cum laude Bioinformatics MSc from KU Leuven. So far I have worked on leukaemia, vaccines, male infertility, cutting-edge cancer drugs, AI in Alzheimer's, and meta-analyses of sequencing data.

Sounds cool and unrealistic? Well, I was in your shoes not so long ago! In my teenage years, I was very lost and confused. I was overwhelmed with the number of possibilities and the number of topics we had to learn. Even my choice to study Genetics and Bioinformatics was somehow random. But I went through it and so can you!

Let me help you go through this confusing period. Whether you are interested in science or just want to pass your exams, I will do my best to help you. And maybe together we will discover that science is not that scary but a rather cute beast.

Opleiding

BSc in Genetics at the University of Glasgow and MSc in Bioinformatics at KU Leuven. The academic environment there is incredible and it made me fall in love with science! I wish all students could experience something like that hence I am here trying to extend a little bit of that magic to you.

Leservaring

Internship on Chronic Myeloid Leukemia Stem Cells,
Project on Male Infertility due to Mitochondrial Dysfunction,
Industry experience working on Chromatography and creating Quality Test for Novel Cancer Drugs.
Software Engineer / Data Analyst at Unicle
Intern at VIB working on the implementation of AI in Alzheimer's research.

Leeftijd

Volwassenen (18-64 jaar oud)

Niveau van de leerling

Beginner

Gemiddeld

Gevorderden

Duur

60 minuten

De les wordt gegeven in

Engels

Litouws

Vaardigheden

Statistiek

Biologie

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

Biology classes for high or middle school students

19 € /h

I believe that the most important skill that a student has to develop prior university is self-learning and the ability to cope with mistakes.

To make a student self-learner I focus on three things: fundamentals, connections and interest.

I try to teach fundamentals through a discussion. I try to make the student ask questions rather than listen. Once all mysteries are clear, repetition is the key.

Once fundamentals are crystal, I try to teach a student how to connect bits of knowledge to answer a question. A narrative is always easier to work with than random memorised sentences.

Once the student can make connections, one can spark interest. Using real-world examples I try to show the student how their knowledge can be applied. How logic connections they make can answer hot topics in science!

Finally, I put a lot of attention on dealing with mistakes. It is easy to be top of the class in a school. However, once students go to university, the level of studies sky-rockets. Mistakes are unavoidable and for some that can be devastating. I do my best to show the student that mistakes are really opportunities to improve. Everyone makes them and they should not discourage them.

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Manoj

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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

Robert

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A highly experienced Franco-Belgian teacher (ook in het nederlands!) offers private lessons in mathematics (including finance), probability and statistics, as well as physics, chemistry, and biology for secondary and higher education levels. For physics, chemistry, and biology, the instruction is tailored to the secondary level, specifically up to the 5th year of secondary education in Belgium.

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For mathematics, I provide lessons for students up to the bachelor's level, including bachelor students, IB (Math SL and Math HL) students, AS/A-level students, European S6 and S7 level students, GCSE students, and IGCSE students.

Science (physics and chemistry) courses are available for students up to the European upper secondary level, including IB and A level.

Science (biology) lessons are available for students up to the European secondary level, GCSE level, and IGCSE level.

Currently, I am teaching:
1. GCSE students
2. IGCSE students
3. IB students
4. European School students
5. AS/A level students

My current students are from the following schools:
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2. International School of Luxembourg, Luxembourg, IB Curriculum (6 Students)
3. Lycée Athénée de Luxembourg, Luxembourg, IB Curriculum (4 Students)
4. Lycée - International School Michel Lucius, Luxembourg, Cambridge Curriculum (4 Students)
5. European School Kirchberg, Luxembourg, European Curriculum (4 students)
6. Lycée Aline Mayrisch, Luxembourg, Luxembourgish curriculum (1 student)
7. International School of the Hague, Netherlands, IB Curriculum (1 student)
8. International School Of Nice, France, IB Curriculum (2 students)
9. Merchiston Castle School, Edinburgh, Scotland, Edexcel (Pearson)/Cambridge (1 students)
10. Silverline Private School, Limassol, Cyprus, UK national Curriculum (1 Student)
11. North Broward Preparatory School, Florida, USA, IB Curriculum (1 Student)
12. King Solomon International School, Israel, IB Curriculum (1 student)

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