Python Programming Courses for Beginners & Kids, Python for Students, Python for Data Science & Machine Learning (PyTorch)

A partir de 21.47 $ /h

I am online-tutor and freelance-programmer from Ukraine. I am a Python developer for over 5 years.

Python Programming Courses for Beginners & Kids!
Learn Python in a Fun & Interactive Way!
Whether you're a child, student, or future data scientist, we have the perfect Python course for you!

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1. Python for Kids & Beginners (Turtle & PyGame)
Ages 8+ | No prior experience needed!
Duration: 60-90 minutes

What You’ll Learn:
✔ Presentation of Python: Why this language?
✔ Installation and configuration of a programming environment (IDLE, Visual Studio Code, PyCharm, Anaconda Navigator, Jupyter Lab, Jupyter Notebook).
✔ Basics of Python with fun visuals using Turtle Graphics
✔ Create simple games & animations with Pygame
✔ Understand loops, conditions, and functions in a playful way
✔ Build a mini-game (e.g., Snake, Pong, or Drawing App)

Course Outline:
- First Steps: "Hello, World!" & Turtle drawing
- Game Logic: Moving objects, collisions, and scoring
- Final Project: Build your own mini-game!

Bonus: Parents can join too!

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2. Python for Students (Pandas, NumPy, Matplotlib)
Perfect for high school & college students
Duration:** 90-120 minutes

What You’ll Learn:
✔ Installation and configuration of a programming environment (IDLE, Visual Studio Code, PyCharm, Anaconda Navigator, Jupyter Lab, Jupyter Notebook).
✔ Data Manipulation with Pandas (Excel-like tables in Python)
✔ Numerical Computing with NumPy (Fast math operations)
✔ Data Visualization with Matplotlib (Graphs & Charts)
✔ Solve real-world problems (e.g., analyzing grades, sports stats, or trends)

Course Outline:
- Working with Data: Loading, cleaning, and filtering datasets
- Math & Stats: Mean, median, and trends
- Visualization: Bar charts, line graphs, and histograms
- Mini-Project: Analyze a dataset (e.g., weather, stocks, or sports)

Great for school projects & future STEM careers!

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3. Python for Data Science & Machine Learning (PyTorch)
For aspiring AI engineers & data scientists
Duration: 120-180 minutes

What You’ll Learn:
Installation and configuration of a programming environment (IDLE, Visual Studio Code, PyCharm, Anaconda Navigator, Jupyter Lab, Jupyter Notebook).
Fundamentals of Machine Learning (ML)
Neural Networks with PyTorch (Used by Nvidia GPU Tesla, OpenAI, and more!)
Train models to predict trends, classify images, or analyze text
Work with real datasets (e.g., housing prices, handwritten digits)

Course Outline:
- Intro to AI & ML: How computers "learn"
- Data Preprocessing: Getting data ready for training
- Building Models: Linear regression, classification
- Final Project: Train a model to recognize handwritten digits

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Customizable Options:
- Private 1-on-1 Coaching
- Group Workshops (Schools/Clubs)
- Corporate Training (Data Science & AI)

Perfect for schools, coding clubs, and future tech leaders!

Información adicional

My name is Yurii and I'm Engineer with more than 5 years of experience. I am online-tutor and freelance-programmer from Ukraine.
Get started with Python and modules: PyTest, (Flask, FastAPI, Django - API) Jinja2, Blueprint, wtforms, werkzeug.security, PyGitHub, Regular expression(re), Numpy, Pandas, Matplotlib, Openpyxl, csv, os, sys, Pdf, Docx, Pygame, Turtle, SQL-sqlite3. I suggest you study - Cource Data Structures and Algorithms in Python with presentation and practical exercises in Python.

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Conectado desde Suiza

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Formación

I am online-tutor and freelance-programmer from Ukraine. I am a Python developer for over 5 years.
PhD in production and technology in Donetsk National Technical University, Ukraine.

Experiencia / Calificaciones

I am online-tutor and freelance-programmer from Ukraine. I am a Python developer for over 5 years.
PhD in production and technology in Donetsk National Technical University, Ukraine.
I am specialized in python backend development.

Edad

Niños (7-12 años)

Adolescentes (13-17 años)

Adultos (18-64 años)

Tercera edad (65+ años)

Nivel del estudiante

Principiante

Intermedio

Avanzado

Duración

30 minutos

45 minutos

60 minutos

90 minutos

120 minutos

La clase se imparte en

inglés

ucraniano

ruso

Habilidades

Python

Linux

Java

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

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

Matías

4.95

(21)

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

4.95

(21)

This class is perfect for anyone taking their first steps into computer programming or early-semester engineering students looking to get familiar with Python and C++.

You’ll learn to think like a programmer, create your own programs, and unlock your creativity. Programming is fun, versatile, and practical, helping you apply concepts to real problems and other areas of study.

Hector

4.95

(21)

Do you want to learn how to program desktop applications in Java, C language, C ++, CSharp (C #), PSeint, Visual Basic .NET, Macros in Excel?

Do you want to learn how to program mobile applications in App Inventor 2?

My teaching methodology is Project Based Learning (PBL).

In this way, to build an application, I will teach you that the really important thing before sitting down to code (by attempt and error) in front of the computer, is the analysis and design of the algorithm (which constitutes 90% of the success of the program to be implemented. ), for this, with an example from the real world, the construction process will be explained: 1. Example with data from the real world, 2. Collection of information on requirements (input data, calculations, output data), 3. Hierarchy of operators (mathematical formulas versus computational formulas), 4. Desk test on a spreadsheet, 5. Constants, variables and data types to use, 6. Algorithm construction, 7. Flowchart, 8. Desk test on paper, 9. Implementation of the algorithm in the chosen programming language, if it is in console mode, it is implemented directly, if it is in form mode, the user interface is drawn on paper (UX) first.

En este curso aprenderemos programación en general, tanto las bases como técnicas avanzadas de diversos lenguajes, por ejemplo java, c++, c#, html, etc.
Se puede aprender tanto de 0 como de algún nivel más avanzado, repasar algún ejercicio que no entiendas o algún examen en el que no quedó del todo claro cual fue la falla, estamos para aprender y enseñar.

Sammy

4.95

(21)

🐍 Learn Python and Data Science with an experienced instructor.

🖥 I offer customised private lessons for beginners and advanced students.

👨🏻‍🏫 With two years of experience teaching at a public school for data science and data analysis, I will help you understand concepts such as data processing, machine learning and statistical analyses in a practical way.

🤖 Whether you want to improve your programming skills, analyse data efficiently or develop your own machine learning models, the lessons will be tailored to your individual needs.

Brenda

4.95

(21)

Curso online de programación y robótica desde cero.
La programación y la robótica son lenguajes clave del siglo XXI: nos permiten entender, crear y controlar la tecnología que usamos cada día.
Aprende a programar con Python, C++, Matlab, Scratch y Tinkercad y crea proyectos reales con Arduino y ESP32. Clases prácticas, personalizadas y adaptadas a tu nivel. Ideal para jóvenes, adultos autodidactas o docentes que quieran introducirse en la tecnología de forma sencilla y aplicada.

Jose

4.95

(21)

In my Operating System Implementation courses, you'll learn to install, configure, and maintain operating systems on both individual computers and network environments. Throughout the course, you'll work with various systems—such as Windows and GNU/Linux—learning to manage users, permissions, services, and system resources. We'll also cover topics like virtualization, task automation, and troubleshooting. This is a highly practical course designed to equip you with the skills necessary to administer systems professionally and adapt to diverse technological environments.

Samuel

4.95

(21)

Soy Profesor y Tutor Expert con una triple diplomatura y más de 9 años de experiencia , enseño Programación Orientada a Objetos (Java, Python, C++, JavaScript, SQL, TypeScript, C, html, css ) Base de datos, HTML, CSS, IA, VBA, Ciencia de datos Excel y herramientas específicas, Big data.

Aprenderás haciendo un uso práctico personalizado en tus gustos y vida cotidiana. Técnicas de academia propia: 25% comprensión aplicativa 75% prácticas y ejercicios. Ejercicios para estudiar durante la semana.

La única forma de aprender programación es comprendiéndola y yo voy a ayudarte con eso .

Videollamada.

Monica

4.95

(21)

🐍 Programación en Python para Principiantes

¿Querés aprender a programar desde cero y no sabés por dónde empezar?
Este curso/apoyo de Programación en Python para principiantes está pensado para personas sin conocimientos previos, con explicaciones claras, paso a paso y acompañamiento constante.

🔹 Aprenderás:
- Qué es la programación y cómo piensa un programa
- Variables, tipos de datos y operadores
- Condicionales (if, else)
- Bucles (for, while)
- Funciones
- Resolución de problemas reales con Python
- Lectura y escritura de archivos (según nivel)

🔹 ¿Cómo trabajamos?
- Explicaciones simples y prácticas
- Ejercicios guiados y resueltos
- Actividades para practicar solo/a
- Acompañamiento y consultas personalizadas
- Ritmo adaptado a cada alumno/a

📌 Ideal para:
- Estudiantes secundarios o terciarios
- Adultos que quieren iniciarse en programación
- Personas que necesitan apoyo para materias de programación
- Quienes quieren dar sus primeros pasos en tecnología

📌 No necesitás experiencia previa, solo ganas de aprender.

Dani

4.95

(21)

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.

Christiam

4.95

(21)

Programacion desde cero en los lenguajes de programacion PYTHON, JAVASCRIPT Y JAVA sin requisitos previos de programacion, no necesitas saber programacion, solamente las ganas de eprender e introducirte al mundo de la programacion con los lenguajes mas utilizados en el mundo.

Marcos

4.95

(21)

Doy clases para estudiantes de FP y Universidad, o cualquiera interesado en el ámbito, y también para personas que quieren aprender programación desde cero o mejorar para trabajar.

📍 Murcia (presencial - consultar disponibilidad) y Online (Zoom/Meet + ejercicios + material)

✅ ¿En qué puedo ayudarte?
- Programación (Java)
- POO y lógica de programación (desde cero)
- Bases de datos SQL (consultas, diseño, modelos relacionales)
- APIs REST / Backend (cómo se hace en empresa)
- Git y control de versiones
- Preparación de exámenes, prácticas y recuperaciones

🎯 Para quién es
- Estudiantes de DAM / DAW / ASIR
- Universidad (asignaturas de programación e informática)
- Personas que quieren entrar a trabajar en desarrollo

🧠 Cómo son las clases
- 100% personalizadas según tu nivel
- Explicación + práctica guiada + ejercicios
- Te doy recursos, ejemplos y seguimiento

Si tienes prácticas, las revisamos juntos y mejoramos el código

⚠️ Importante: no hago trabajos por ti, pero te explico y te guío para que lo saques adelante con tu propio código.

📩 Escríbeme con tu asignatura/temario y tu objetivo y preparo un plan de estudio

Erik

4.95

(21)

Introduction to Linux as a work environment course.
This course is designed for people who want to use Linux productively in their daily work, whether as an alternative to Windows or macOS, or as their first introduction to free and open-source operating systems. We start from scratch and explain in an easy-to-understand way how a Linux system works, how the desktop, file system, and user management are organized, and how to install and use common software for everyday tasks. The goal is not just to learn how to "use" Linux, but to understand it well enough to work independently, securely, and efficiently.