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This teacher has a fast response time and rate, demonstrating a high quality of service to their students.
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Since June 2023
Instructor since June 2023
Python Programming Courses for Beginners & Kids, Python for Students, Python for Data Science & Machine Learning (PyTorch)
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From 17.77 € /h
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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 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

---

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
location type icon
Online from Switzerland
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 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

---

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
Availability of a typical week
(GMT -05:00)
New York
at teacher icon
Online via webcam
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
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I am a certified corporate programming trainer specializing in Python and Data Analysis, with over a decade of experience in tutoring and software development. My goal is to make programming approachable and engaging by helping learners build a strong foundation and grow into confident, independent coders.

Over the years, I have trained students across different levels and backgrounds in Python programming, automation, and data analytics. I emphasize hands-on, practical learning supported by clear explanations and real-world examples. My teaching approach focuses on understanding core concepts, writing efficient code, and developing problem-solving skills that can be applied in professional and academic settings.

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Introduction to Python and environment setup
Variables and data types
Operators and expressions
Conditional statements
Types of loops and loop control
Functions and scope
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Mini projects and problem-solving exercises

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Lambda functions and list comprehensions
Generators, yield, and closures
Decorators
Object-Oriented Programming (classes, inheritance, polymorphism, encapsulation)
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Good-fit Instructor Guarantee
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Contact Yurii