Python programming for Beginner Data Scientist and others

Van 36 € /h

Python basics
Python variable types
Python functions
Python Loops
Pandas for data wrangling
NumPy for mathematical manipulations
Scikit learn for machine learning
Deep learning with Keras
Python data visualization
Tutorial (Classification)

Locatie

Online vanuit Spanje

Over

Aymen received a computer science engineering degree from the Aviation
School of Borj El Amri in 2005. He obtained an M.S. degree in information systems and
network security from the High Institute of CS in 2007, an M.S. degree in modeling from
the High Institute of Management in 2009, and an M.S. degree in CS from the Naval
Postgraduate School in the USA in 2014. He defended his Ph.D. at the Polytechnic
School of Tunisia in 2022. Currently, he is a postdoctoral researcher at UPM in Madrid.
His research interests include IoT, anomaly detection, edge computing, Big data, and
Computer Vision for Surveillance and E-health Systems.

Opleiding

-Computer science engineering degree from the Aviation School in Tunisia.
-M.S. degree in information systems and
network security from the High Institute of CS in Tunisia.
-M.S. degree in modeling from
the High Institute of Management in Tunisia.
-M.S. degree in CS from the Naval
Postgraduate School in the USA
-Ph.D. at the Polytechnic
School of Tunisia

Leservaring

Engineering project management (E-health, Surveillance systems, Computational Biology)
Postdoctoral researcher (European Project)
Teaching Python, Computer networks, Security, and databases.

Leeftijd

Tieners (13-17 jaar oud)

Volwassenen (18-64 jaar oud)

Senioren (65+ jaar oud)

Niveau van de leerling

Beginner

Gemiddeld

Duur

60 minuten

De les wordt gegeven in

Engels

Arabisch

Vaardigheden

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

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

Mahmood

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Java is one of the most important of all computer programming languages. But learning Java can seem like a daunting task. Not any longer! In this course I will train you well in Java Programming step-by-step. Starting from basis right through the more advanced topics. No prior knowledge is required.

Course outlines:
- Objected Oriented Programming concepts (OOPS)
- Core Java Programming Introduction of Java
- Data types and Variables
- Methods
- Control Flow Statements
- Operators and Expressions
- While and do-while Loops
- Object-oriented Programming
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- Using Java Objects
- Java Files and I/O
- Interfaces and Abstract Classes
- Inner Classes

Joris

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Python is the fastest growing programming language. Master it and you can solve business and science problems!

If you are an absolute beginner, don't worry, I've got exercises that will help you get up to speed.

About me: I have worked 10 years in financial markets (bond trading and market data). Now I am working as a freelance Python trainer & developer.

Favourite Python packages / frameworks: Pandas, Numpy, Flask, Django, Beautifulsoup, PySpark & Pytest,

Kelly

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Python is a Programming Language widely used with huge capabilities on building projects of many different kinds but the most important advantage is that it is easy to learn and it can be a good start for someone to embrace Computer Science and improve their logical thinking.

Nousha

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Learning to program can be a big challenge, especially if you have to do it alone. There are plenty of videos or documentation to be found, but where do you start? Sometimes you can't see the forest for the trees.

With my experience in programming, mainly in the language C# and framework .NET, and the many years of experience in supervising students, this is an ideal combination in offering guidance in programming.

Albert

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Are you a high school or high school student and have difficulty understanding and solving math or physics problems? Then I am someone who would like to help you with that. I often see that in standard classroom teaching is succinctly taught. As a result, the student misses out on the whole picture, making the teaching material and the problems vague and unclear. My goal is to take the time for each student to complete the whole picture and guide them through complex problems, so that the student can not only take tests and exams with ease, but also enjoy learning the material.

Mehdi

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I am a certified communication scientist (WO, MSc.) who teaches computational data analysis methods in SPSS, Python, R and thesis supervision.

During the lessons we can cover the basics of computational methods or data analysis. I can also help you gain a better understanding of the data structure, design a questionnaire in QUALTRICS (or similar program), or collect data together with you. We can do this in the programs Python, R or SPSS. I am also an expert in supervising theses.

I give lessons of one hour as standard, but these can be longer if desired. If you are looking for guidance for a longer period, I can offer you a package where you get a discount on my hourly rate.

I have experience teaching computational data analysis and machine learning at university and college level. I myself have a research master's degree in communication sciences.

Rajitha

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I am a Software Engineer with more than 12 years of experience. I love to teach and share my experiences.

If you want any help with Java or any other programming language, I can assist you with it.

Web Application Development is also my expertise. I can guide you to build a successful web application.

Yoeri

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Nadeesha

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Mohamed

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Contact me if you want to have more information about the course!

Gilliard

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Greetings! My name is Gil. I'm based in the Den Haag area and am an experienced tutor with a strong background in applied physics holding a bachelor's and soon an master's in the field. I have a deep passion for teaching and helping students succeed.

I offer personalized tutoring in Dutch, English, and Papiamentu for all levels, from VMBO up to university (WO/Bachelor).

Subjects I cover:

* Mathematics A & B

* Physics

* Statistics, Calculus & Algebra (up to WO Bachelor level)

* Chemistry & English (up to VWO level)

* Other subjects are also possible

With over 5 years of experience, I've worked as a lecturer and student coach at TU Delft and Erasmus University, supporting first- and second-year students in courses like Technology Management, Optics, and Electronic Instrumentation.

I focus on building students’ curiosity and confidence by tailoring each session to their learning style and preferred language.

Gergely

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Is your printer refusing to work with your computer again? Are you stuck with a weird error that no one on the forums seems to understand? Or maybe you have an ancient device that stores priceless data, but no modern system will talk to it? That’s where I come in - call me your digital detective.

I specialize in solving the kinds of tech problems most people walk away from—legacy hardware, software compatibility issues, obscure drivers, and cryptic error messages. Whether it’s a memory leak in a 20-year-old Palm PDA or making two completely unrelated systems communicate, I’ve been there and I've fixed that.

If your setup is unique, outdated, or just plain broken, I’ll treat it like a puzzle worth solving. Tech archeology meets modern ingenuity. I’m also happy to travel and work on-site if needed—sometimes the only way to truly understand a system is to sit down with it in person.
“Legacy systems fear him. Devs envy him. Managers don’t understand him.” - one of my clients, probably.

Wahagn

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Hi! I’m Wahagn, a qualified international school teacher with 4+ years teaching Computer Science at IGCSE, A-Level, and IB DP levels. I hold a BSc and MSc in Computer Science from Leiden University and have worked in international schools across Europe. I specialize in helping students understand programming concepts, prepare for exams, and develop problem-solving skills. My lessons are personalized, practical, and focused on student success.

Tommie

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🐍 Python Programming – Learn by Doing
Course Overview
This class is designed for anyone who wants to learn Python from scratch or strengthen their coding skills. Whether you’re a complete beginner or looking to apply Python in data analysis, automation, or web development, this course will guide you step by step with practical examples and projects.

What You’ll Learn
✅ Python basics: variables, data types, operators, and control flow

✅ Functions and modules: writing reusable, clean code

✅ Working with files and data (CSV, JSON, text)

✅ 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?
Students preparing for exams or computer science courses

Professionals wanting to automate tasks or analyze data

Curious learners who want to start coding as a hobby

Practical Details
📍 Online or in-person (depending on your location)

⏱ Flexible scheduling to fit your availability

🧑‍🏫 Personalized guidance with clear explanations and exercises