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!