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

From 18 € /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!

Extra information

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.

Location

Online from Israel

About Me

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!

---

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!

---

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!

---

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, 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

Dear Learner, if you want to learn Python/R Programming Language for Data Analysis, Data Visualisation, Data Cleaning, or any type of Data Modification then you are in the right place. I am teaching Python professionally from 2016. So, if you face any sort of difficulty or want to start learning Python, I will do it in the best possible way by Zoom or Recorded Video Sessions whatever you are comfortable with. The Python programming session recording and the Python codes will be provided after ending each Python session.
For any kind of Data-Related Consultation feel free to let me know.
Topics include but not limited to:
Python Basic Interface Navigation
Different Types of Dataset Read and Write in Python/R
Data Cleaning
Data Modification
Different Types of Data Visualisation
Descriptive Statistics
Chi-Square
T-Test
ANOVA
Correlation
Regression
Time Series Analysis and so on.

I also provide customised packages too.
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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!

Education

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.

Experience / Qualifications

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.

Age

Children (7-12 years old)

Teenagers (13-17 years old)

Adults (18-64 years old)

Seniors (65+ years old)

Student level

Beginner

Intermediate

Advanced

Duration

30 minutes

45 minutes

60 minutes

90 minutes

120 minutes

The class is taught in

English

Ukrainian

Russian

Skills

Python

Linux

Java

Availability of a typical week

(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

Python draw graphics is an implementation of the popular geometric drawing tools.

21 € /h

Python drawing - it’s an effective and well-proven way for learners to encounter programming concepts and interaction with software, as it provides instant, visible feedback. It also provides convenient access to graphical output in general.

Headline: Turn Boring Code into Vibrant Art: Why Drawing with Python is the Best Way to Learn Programming
Imagine writing code where every single command creates an instant, visual reaction on your screen. This isn't magic — it's visual programming with Python.
Instant Feedback, Zero Guessing:
When you change a variable, a line moves. When you write a loop, a geometric pattern blooms before your eyes. You don't wonder if your code works — you see it in real time. This gives beginners the immediate, visible feedback that transforms confusion into confidence.

Matías

4.88

(85)

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.

Adam

4.88

(85)

Learn to code with method and logic
Whether it's to succeed in the NSI (Digital Sciences and Technology) specialization in high school, design personal projects, or prepare for higher scientific studies, mastering code relies on solid algorithmic thinking. I help students understand the structure of programming languages and the logic of data.

Subject areas and languages taught:

Algorithms & Logic: Designing data structures and solving problems.

Programming Languages: Python, C/C++, C# and Java.

Data Management: Analysis and SQL queries / databases.

Basic Web Development: HTML & CSS for creating structured pages.

The goal is to take the student from simply writing code to true autonomy in development.

Moetez

4.88

(85)

In this training, we will try to describe what is object-oriented programming (often abbreviated as OOP) and model this approach with these different concepts. My goal is to advance the student to reach his goal without overloading it.

Hector

4.88

(85)

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.

Amin

4.88

(85)

Python is the most in-demand programming language in the world right now — and one of the easiest to learn with the right guidance.
Whether you've never written a line of code or you're a student who needs to pass a programming course, this is a practical, no-fluff introduction that gets you writing real code from session one.
What we can cover depending on your goals:

Python fundamentals: variables, loops, functions, data structures
- Object-oriented programming (OOP)
- Data manipulation with pandas and NumPy
- Introduction to machine learning with scikit-learn
- Database management with SQL
- C and Java upon request
- MATLAB and R available for engineering/science students

Why learn with me?
I'm not a student teaching on the side — I'm a professional engineer who uses Python daily for data analysis, modeling, and automation. I know exactly which concepts matter in the real world and which ones you can skip for now.
Sessions are 100% personalized: I adapt the pace, the examples, and the exercises to your background and your goal — whether that's passing your university exam, building a project, or landing a job.

Giuliano

4.88

(85)

Python is a powerful and versatile programming language with countless possibilities. You can use it for data analysis, image processing, automation, software development, hardware control, and much more.

Do you want to create your own software?
Work with data or images?
Automate repetitive tasks?
Control or manage your own hardware?

Whether you are just starting to learn Python or already have a specific project and need some guidance, I would be happy to help you.

My goal is to explain things clearly, adapt to your level, and help you understand not only how to make something work, but also why it works.

Let's turn your ideas into working Python projects!

Salah

4.88

(85)

Master Python with Personalized Courses

Discover the art of programming with Python courses tailor-made to meet your specific needs. Whether you are a beginner, intermediate or professional, my lessons are suitable for all levels.

Why Choose My Courses?

Personalized Teaching Approach: Each course is tailored to your skill level and individual goals.

Practical Experience: Learn by doing with real-world projects that build your understanding and skills.

Ongoing Support: Get unlimited email support for any questions you have between sessions.

As a Python expert, I have a passion for teaching and sharing my knowledge. My goal is to guide you effectively in your learning journey.

Book Your First Lesson:

Start your journey to Python mastery now by booking your first lesson. Whether you aspire to enter the development field or hone your existing skills, these courses are designed for you.

Adam

4.88

(85)

🐍 Python Course – Learn to code and create your projects!

This course is for anyone who wants to:

✅ Learn Python from the beginning
✅ Strengthen their programming skills

📚 On the program:

Variables

Loops

Functions

Data structures

Practical projects for implementation

💡 How does the course work?

Clear explanations to understand the programming logic

Targeted exercises adapted to your level

Concrete projects to create your own applications

🎯 My goal:

Helping you understand the logic behind the code

Progress at your own pace

Create your own projects in Python and gain independence

Ali

4.88

(85)

I teach machine learning, AI and Python online to university students, postgraduates, career changers and serious beginners across the UK and Europe. Lessons are in English.

I hold an MSc in Electronics and Electrical Engineering with Distinction and I teach as a Visiting Lecturer on a Master's level module covering data analytics, machine learning and generative AI at a UK university. I also have two accepted international conference papers on deep learning for image classification. I set and mark postgraduate assignments myself, so I know where marks are won and lost on this kind of work.

Who this is for

Undergraduates and postgraduates on AI, ML, data science or computer science modules at any European university. Final year, Master's and thesis students working on a machine learning project. IB and A Level students moving into computing or engineering. Professionals retraining for data roles. Complete beginners who want to learn Python properly rather than copying it from videos.

I work with students on UK, IB and continental European programmes. I have tutored engineering students in Germany and international school students across several countries, so an unfamiliar syllabus or a module taught in a different structure is not a problem. Send me the material and I will work from it.

What we cover

Python for data science with NumPy, Pandas, Matplotlib and scikit-learn. Deep learning using TensorFlow and Keras. Core theory including regression, classification, clustering, decision trees, random forests, neural networks and CNNs, together with the linear algebra, calculus and statistics underneath them. Computer vision and image classification, which is my published research area. Model evaluation, overfitting and hyperparameter tuning. Writing machine learning work up to academic standard, covering methodology, results and critical evaluation.

How lessons work

Send me your module handbook, assignment brief, thesis spec or the code that will not run, and I plan the session around it before we meet. Nothing generic.

In the lesson I explain the concept with a worked example, then you take the keyboard while I watch and correct, because you learn far more doing it than watching me do it. You finish with annotated notes and a clear next step, and you can message me between sessions with questions.

Practical details

Online over Google Meet or Zoom with screen sharing and a shared whiteboard. Sessions run 60 or 90 minutes. I am based in the UK and teach across GMT and Central European time, with evening and weekend slots that suit students anywhere in Europe.

Tell me your course, your deadline and exactly where you are stuck, and I will come back with a plan for the first session.

Baia

4.88

(85)

I'm a working MEP engineer, currently building Python automation for Revit workflows daily - plan checks, model coordination, and repetitive drafting tasks. I teach other engineers, architects, and BIM professionals how to do the same, using pyRevit and real project workflows, not toy examples.

Topics include:
pyRevit fundamentals and setup
Automating repetitive Revit tasks (model checks, plan generation, data extraction)
Writing custom scripts for your firm's specific workflows
Applying Python automation to real MEP/BIM projects

Pallavi

4.88

(85)

Learn Python with a structured, hands-on approach! Whether you are a absolute beginner looking to start coding, a student needing help with coursework, or a professional aiming to automate tasks, these lessons are tailored for you.What we will cover:
Core Fundamentals: Variables, loops, functions, and data structures.Object-Oriented Programming: Building reusable and clean code.Real-World Projects: Creating scripts, data analysis, or web scraping based on your goals.

Problem Solving: Learning how to debug and think like a programmer. Lessons are highly interactive. We will write code together from day one, and you will receive practical exercises after every session to build your confidence.

Said

4.88

(85)

I offer personalized lessons adapted to each student’s level, objectives, and learning pace. Whether you want to strengthen your fundamentals, prepare for an exam, improve your academic performance, or develop practical skills, I provide clear explanations and hands-on exercises.

📐 Mathematics: algebra, functions, equations, calculus, probability, and applied mathematics.

💰 Finance: financial analysis, corporate finance, investments, financial markets, portfolio management, risk management, and quantitative finance.

📊 Statistics: descriptive statistics, probability, hypothesis testing, correlation, regression, data analysis, and interpretation of results.

💻 Microsoft Office: Excel, Word, and PowerPoint — from basic to advanced level, including formulas, data analysis, charts, professional documents, reports, and presentations.

As a Master’s student in Finance at the University of Neuchâtel, with a background in Finance and experience in quantitative analysis and credit-risk modelling, I focus on making complex concepts simple, practical, and easy to understand.

Courses available in French or English.

Nourhan

4.88

(85)

Welcome! Whether you are a complete beginner or a university student aiming to strengthen your technical foundation, this course is tailored to help you master Python programming, database design, and SQL queries effectively.

In our sessions, we focus on hands-on practical learning rather than passive theory. Here is what we can cover:
• Python Programming fundamentals, data structures, and logic building.
• Relational Databases design, schemas, and ER diagrams.
• Writing clean, optimized SQL queries (SELECT, JOINs, aggregations, subqueries).
• Hands-on practice with real-world datasets and troubleshooting common errors.
• Assistance with university coursework, exam prep, and personal projects.

Lessons are tailored to your pace and goals, ensuring you build confidence in writing code independently. Feel free to reach out with any questions before booking!

Pratiksha

4.88

(85)

Python Level 1Workshop

**Course Description**

Want to learn programming from scratch? This beginner-friendly Python course introduces students to coding through interactive lessons, practical exercises, and fun mini-projects.

Students will learn how to write Python programs, work with different types of data, take user input, make decisions using conditions, and repeat actions using loops. Each concept is explained step by step with real-life examples and hands-on coding activities.

**What You Will Learn**

* **Lesson 1: Your First Python Program** — Learn the `print()` function, display messages, and create simple programs.
* **Lesson 2: Variables and Data Types** — Store and work with text, numbers, and other basic data.
* **Lesson 3: User Input and Calculations** — Build interactive programs that accept user input and perform calculations.
* **Lesson 4: Conditional Statements** — Use `if`, `elif`, and `else` to make programs respond to different situations.
* **Lesson 5: Loops and Mini-Projects** — Use loops to repeat actions and apply your skills in practical coding challenges.

**Hands-On Projects**

Students will apply their learning by building beginner-friendly projects such as a calculator, a number-guessing game, and a Rock-Paper-Scissors game.

**Who Is This Course For?**

* Children and teenagers aged 8–16.
* Complete beginners with no prior programming experience.
* Students who want to develop logical thinking, problem-solving, and computational skills.
* Learners who want to explore programming through practical projects.

**My Teaching Approach**

I explain concepts step by step, use relatable examples, and encourage students to write their own code instead of simply copying solutions. Lessons are adapted to each student's pace, with coding exercises and challenges to strengthen understanding.

**No prior coding experience is required.** Students need a computer and an internet connection to participate.

By the end of Level 1, students will have a solid foundation in Python basics and the confidence to start creating their own simple programs.

Mariam

4.88

(85)

Beginner-Friendly AI & Python Programming Course 🤖🐍

Curious about Artificial Intelligence (AI) and how computers learn, solve problems, and follow instructions? This course is designed for beginners who want to explore the exciting world of AI and programming in a simple, fun, and practical way!

No previous programming experience is required. We’ll start with the basics and gradually build your understanding through clear explanations, relatable examples, hands-on exercises, and small projects.

What you’ll learn:

Introduction to AI: Discover what artificial intelligence is and how we use it in everyday life.

AI in the real world: Explore AI tools, applications, and careers that use AI.

Introduction to Python: Learn one of the most popular programming languages from the ground up and develop a new skill.

Programming fundamentals: Understand variables, data types, conditions, and other essential concepts.

Algorithms and problem-solving: Learn how to break problems into smaller steps and turn ideas into code.

Machine Learning vs. Deep Learning: Get a beginner-friendly introduction to how computers can learn from data.

Practical exercises and mini-projects: Apply what you learn and build confidence through hands-on practice.
and more to come!

Lessons can be adapted to your current level, learning goals, and pace. Individual and group sessions are welcome!