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Seit Juni 2023
Lehrer seit Juni 2023
Python Programming Courses for Beginners & Kids,
Von 21.17 $ /Std
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!
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!
Zusätzliche Informationen
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.
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.
Ort
Online aus Israel
Über mich
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.
---
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!
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.
---
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!
Bildung
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.
PhD in production and technology in Donetsk National Technical University, Ukraine.
Erfahrung / Qualifikationen
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.
PhD in production and technology in Donetsk National Technical University, Ukraine.
I am specialized in python backend development.
Alter
Kinder (7-12 Jahre alt)
Jugendliche (13-17 Jahre alt)
Erwachsene (18-64 Jahre alt)
Seniorinnen und Senioren (65+ Jahre alt)
Unterrichtsniveau
Anfänger
Mittel
Fortgeschritten
Dauer
30 Minuten
45 Minuten
60 Minuten
90 Minuten
120 Minuten
Unterrichtet in
Englisch
Ukrainisch
Russisch
Verfügbarkeit einer typischen Woche
(GMT -04:00)
New York
Online via Webcam
Mon
Tue
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Fri
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00-04
04-08
08-12
12-16
16-20
20-24
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.
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.
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