Learn to Program in Python for Data Science and AI

Von 36.28 $ /Std

AI and data have taken over the world in 2023. Every day data-driven tools and assistive AI are playing a larger part in both our corporate and recreational lives. One of the most preferred languages for developing and using such tools is Python, known throughout the coding world for both its accessibility to beginners and its versatility for professionals.

From beginner to advanced, there is something for you. Consistent classes with diligent practise outside teaching time will launch you to fluency in python and the tools it provides, cultivate a deep understanding in data and AI, develop awareness of where the industry is and where it is going, and of course build a diverse portfolio of projects to show your friends or even an employer!

As both an experienced tutor and a data scientist who has worked on social media analytics on behalf of some of the world's largest private equity firms, I will be able to challenge you, interest you and enable you to code things you never thought you would be able to.

Interested? Please contact me!

Zusätzliche Informationen

Please make sure you have a good microphone and quiet, comfortable environment to take your class in :)

Ort

Online aus Vereinigtes Königreich

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

60 Minuten

Unterrichtet in

Englisch

Fachkenntnisse

Programmierung

Python

Statistik

Verfügbarkeit einer typischen Woche

(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

Make Your Own Video Games with C# in the Unity Game Engine

36.28 $ /Std

Don't you love video games? Their ability to send us to a different world, to test our abilities in things we could never dream of in real life, the list goes on! Have you ever wondered how huge titles such as Cities: Skylines, Escape from Tarkov and Hollow Knight end up on your screens?

Well, it turns out that all three of these titles were made in the Unity game engine, a software that allows you to intuitively design levels and bring characters to life. With the help of the C# programming language, you can expect to be making your very own games in a project based environment from day 1, picking up the wide range of features Unity and C# have to offer as we move along. You can expect to make your very own platformer in 4 lessons, and even a first person shooter in another 5.

Interested? Contact me and let's start!

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

Jerome

4.95

(21)

Doctor in cognitive psychology graduated from the University of Strasbourg, holder of a master 2 of research in Biology and a master 2 professional in scientific communication, I propose courses of statistics (descriptive and inferential, theoretical and applied it is according to your requests) with a pedagogy and methodologies rigorous and personalized according to your needs and your potentialities. My courses are divided into 3 possible approaches: 1 / Theoretical courses / methods and practice 2 / Help with data analysis 3 / Through a scientific popularization approach and a rigorous and effective method (references available) to answer to the expectations of the students and to reach or exceed the objectives set, my courses are easy to understand and appropriate. I propose in addition a training on varied and targeted exercises as well as annals of examination to optimize your preparation. Thus, what seems complex, abstract and incomprehensible to you will become concrete, and you will be able to answer questions without hesitation. I also integrate a coaching method to optimize the learning and training necessary to pass the university exams in statistics.

My courses are aimed at students in psychology or from other courses (university, medicine, engineering schools, BTS, MBA, Business School, Business School, international finance, etc.) wishing to optimize their performance and grades in exams and competitions.

Teacher and trainer at the Ecole Polytechnique, at the Universities of Strasbourg and Paris 8, ESSEC Business School, ISTH, IONIS Education Group, EEEA, Institut Tocqueville etc.

I receive many requests from students at Paris 8 University (IED or not) Paris 5 and Nanterre because I am very familiar with the program and the expectations of the exam jury.

Arianit

4.95

(21)

Struggling with MATLAB? Whether you're a beginner or tackling advanced simulations, our one-on-one online tutoring is here to help you master MATLAB step-by-step. We offer personalized lessons tailored to your level, covering:

Basics of MATLAB programming
Data analysis & visualization
Numerical methods & simulations
Signal processing & control systems
MATLAB for engineering, math, and science courses
Help with assignments, projects, and exam prep

Hasmik

4.95

(21)

I am a graduate student in data science and very passionate about Math, Statistics. I can help students and pupils with current assignments, to prepare for class exams, tests. I am aware of the “struggle” students have with math and statistics subjects, and my tutoring methods make them to be passionate about seemingly complex subjects. I help them to understand the subjects in very practical ways and I am very student oriented. I am available on weekends and late evenings on weekdays.

Baia

4.95

(21)

Are you ready to create interactive, visually appealing websites that stand out in today’s competitive market? In this course, you’ll master the essential front-end development skills:

✅ HTML, CSS, and JavaScript – Build responsive and modern web pages
✅ React & Vue.js – Learn cutting-edge frameworks for dynamic UIs
✅ Real-World Projects – Work on hands-on projects to strengthen your skills
✅ Problem-Solving & Creativity – Develop intuitive, user-friendly interfaces

🔹 Who is this course for?

- Beginners who want to break into web development
- Developers struggling with front-end concepts
- Anyone looking to level up their skills and build real projects

🚀 Stuck on a project? Want to learn high-income tech skills?
This course will help you gain confidence, land opportunities, and grow in the tech industry.

📩 Contact me for more details and start your front-end journey today!

Jaydip

4.95

(21)

I can help you with your python project works. With live coding sessions, tips, and tricks you will have a chance to improve your knowledge or complete your coding project/assignments with great insight into the code. I am working with the following libraries in my everyday work AI developer:

Numpy
Pandas
Scipy
Scikit-learn
Tensorflow / Keras
Pytorch
OpenCV
Tesseract
Pillow
Tkinter
Flask
selenium
Matplotlib and many more...

Abdallah

4.95

(21)

Benefits After Completing Our Course:
- Enhanced Problem-Solving Skills: Develop critical thinking and analytical skills, essential for high-demand careers such as data analysis, finance, engineering, and technology.

- Higher Earning Potential: Mastering Maths and Statistics can significantly boost your earning potential, as these skills are highly valued and sought after in the job market.

- Versatile Career Opportunities: Open doors to a wide range of career paths in sectors like business, economics, healthcare, and education, where analytical skills are paramount.

- Real-World Applications: Apply mathematical and statistical concepts to professional settings, improving decision-making and strategic planning capabilities.

- Academic Excellence: Achieve higher grades and a deeper understanding of maths and statistics, giving you an edge in academic and professional pursuits.

- Confidence in Numeracy: Build a solid foundation in maths, enhancing your ability to excel in interviews and on the job.

### Course Description: Maths and Statistics Lessons for All Stages and Syllabus

#### Overview
Our Maths and Statistics lessons are designed for learners of all ages and stages, from children to adults. We use fun and interesting methodologies to make learning engaging and effective. Whether you are a beginner or looking to advance your skills, our course covers a wide range of topics tailored to your needs. Lessons are available both online and offline in Egypt, providing flexible learning options.

#### Course Objectives
- **Mathematical Foundations**: Build a strong foundation in basic mathematical concepts.
- **Advanced Mathematics**: Explore advanced topics in algebra, calculus, and more.
- **Statistics**: Understand and apply statistical methods and concepts.
- **Fun and Engaging Learning**: Use interactive and enjoyable methods to make learning math and statistics exciting.

#### Key Topics
1. **Basic Mathematics**
- Arithmetic operations
- Fractions, decimals, and percentages
- Basic geometry and measurement

2. **Intermediate Mathematics**
- Algebraic expressions and equations
- Functions and graphs
- Probability and combinatorics

3. **Advanced Mathematics**
- Calculus (differentiation and integration)
- Linear algebra
- Advanced geometry and trigonometry

4. **Statistics**
- Data collection and organization
- Measures of central tendency (mean, median, mode)
- Probability distributions and statistical inference

5. **Fun and Interesting Methodologies**
- Interactive games and puzzles
- Real-world applications and projects
- Group activities and collaborative learning

#### Learning Outcomes
By the end of this course, participants will be able to:
- Solve mathematical problems with confidence.
- Apply statistical methods to analyze data.
- Understand and use advanced mathematical concepts.
- Enjoy learning math and statistics through engaging activities.

#### Delivery Method
- **Online**: Accessible from anywhere, providing flexibility for remote learners.
- **Offline**: In-person classes available in Egypt, offering hands-on experience and direct interaction with instructors.

#### Target Audience
This course is ideal for:
- Children and adults at any stage of their mathematical education.
- Students preparing for exams or needing extra support in math and statistics.
- Individuals looking to improve their math skills for personal or professional development.

#### Prerequisites
- No prior knowledge is required for beginners.
- For advanced levels, a basic understanding of math and statistics is recommended.

Ready to make math and statistics fun and engaging? Enroll now and start your journey towards mastering these essential skills with the expert instructor!
======================
Comment:

An experienced teacher at your disposal for:

- Methodology adapted to all levels.
- Upgrading.
- Consolidation of achievements.
- Preparation for an examination / competition
- Help with homework and lessons.
- Complementary exercises and review as controls and exams approach.
- Advice and supervision at the level of working methods.
- Recommended teaching methods.

At the level of my teaching methods, I use those that are advised pedagogically, I always try to explain and detail as much as possible the courses and I do not pass to the following stages until after making sure that the student understood what I explained.

As a teacher, I already have good experience teaching with students for 7 years. What is certain is that I always make sure to go as far as possible to explain the exercises.
Teaching is a telent.
Teaching is my passion. I enjoy helping the student to reach their goals and get the highest degree.
I like when i get a good result with students. The lecture is not only education, it is also fun. I use the most modern techniques.

Stephanie

4.95

(21)

I enjoy instilling confidence and passion for these fields and determining the right learning method for each student. My courses are designed for students from 6 to 20 years old, from beginner to advanced level in mathematics, statistics and/or physics.

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.

Kevin

4.95

(21)

► EXPERT STATISTICS, DATA ANALYTICS, MACHINE LEARNING & AI TUTOR FROM SWITZERLAND
► UNIVERSITY, FOUNDATION, IB, A-LEVEL & INTERNATIONAL SCHOOL SUPPORT

I completed my Master’s degree in Business Information Systems at a Swiss University of Applied Sciences, where my academic background strongly combined mathematics, statistics, data analysis, analytical thinking and problem-solving. This technical and data-oriented foundation shaped the way I teach today: clearly, logically and with a strong focus on real understanding.

For many years, I have successfully supported students in Statistics, Data Analytics, Machine Learning and AI. My main focus is especially on Statistics — from basic descriptive statistics to advanced statistical methods, hypothesis testing, regression, probability distributions and interpretation of results.

I mainly use R for statistical analysis, data handling, visualisation and practical exercises. My goal is not only to help students calculate results, but to make sure they understand what the results mean and how to explain them correctly.

► STATISTICS, DATA ANALYTICS & AI SUPPORT

► STATISTICS & PROBABILITY
I help students understand descriptive statistics, probability, random variables, distributions, sampling, confidence intervals, hypothesis testing, p-values, correlation, regression and statistical interpretation. My lessons focus on explaining the logic behind each method, not just applying formulas.

► APPLIED STATISTICS WITH R
I support students in using R for statistical analysis, data cleaning, visualisation, hypothesis testing, regression models and interpretation of outputs. Students learn how to connect theory, calculation, code and real meaning step by step.

► QUANTITATIVE METHODS & RESEARCH STATISTICS
I help students with statistical methods used in business, economics, psychology, social sciences, science and university research. This includes choosing the correct test, understanding assumptions, interpreting results and presenting findings clearly.

► DATA ANALYTICS & DATA SCIENCE
I support students with data preparation, exploratory data analysis, visualisation, dashboards, summary statistics and practical interpretation. The focus is always on understanding the data and drawing meaningful conclusions.

► MACHINE LEARNING & AI FOUNDATIONS
For students working with modern data topics, I also provide support in the foundations of Machine Learning and AI, including regression, classification, clustering, model evaluation and practical applications. These topics are explained from a statistical point of view, so students understand the logic behind the models.

► UNIVERSITY, FOUNDATION & INTERNATIONAL COURSES
I support students in Statistics, Data Analytics, Business Analytics, Quantitative Methods, Econometrics, Research Methods and technical modules. I help with exam preparation, assignments, projects and practical data analysis tasks.

► HOW I TEACH

► I FOCUS ON REAL STATISTICAL UNDERSTANDING.
Statistics becomes much easier when students understand why a method is used, what the result means and how to interpret it correctly.

► I EXPLAIN FORMULAS STEP BY STEP.
Difficult formulas, tests and models are broken down into simple, logical parts so students can follow the reasoning clearly.

► I CONNECT THEORY WITH R PRACTICE.
Students learn not only the statistical theory, but also how to apply it in R, read the output and explain the result in proper academic language.

► I HELP STUDENTS CHOOSE THE RIGHT METHOD.
Many students struggle with deciding whether to use a t-test, chi-square test, ANOVA, regression or another method. I teach students how to recognise the correct approach from the question or dataset.

► I TRAIN INTERPRETATION AND EXAM TECHNIQUE.
Students learn how to structure statistical answers, write clear conclusions, explain p-values, interpret confidence intervals and present results professionally.

► I ADAPT EVERY LESSON TO THE STUDENT.
Some students need help with theory, others with R coding, assignments, research projects or exam preparation. I adjust every lesson to the student’s exact course, level and goals.

► YEARS OF EXPERIENCE WITH STATISTICS, DATA & UNIVERSITY STUDENTS

Over the years, I have successfully supported students from demanding academic programmes, helping them strengthen their statistical understanding, improve their analytical thinking and achieve excellent progress in Statistics, Data Analytics, Machine Learning and AI.

► ONLINE LESSONS

► Interactive whiteboard
► Clear digital notes
► Step-by-step statistical explanations
► R support for data analysis
► Exam preparation
► Assignment and project guidance
► Practical examples with real datasets
► Focused one-to-one support from Switzerland

► MY GOAL

My goal is not only to help students pass exams or complete assignments, but to help them truly understand Statistics. With the right guidance, statistical methods become logical, practical and much easier to apply.

► SUBJECTS: Statistics, Probability, Data Analytics, Data Science, Machine Learning, AI, Quantitative Methods, Research Methods, Econometrics
► MAIN TOOL: R
► LEVELS: International School, IB, A-Level, Foundation Courses, University Modules, Professional Training
► FORMAT: Online tutoring from Switzerland
► FOCUS: Statistical understanding, R practice, interpretation, exam preparation, assignments, projects and long-term analytical confidence.

Tereza

4.95

(21)

I teach mathematics from the basics to the Matura level – and also support students with complex topics. With clear explanations, targeted exercises, and individualized learning plans, I help you build understanding, pass exams successfully, and calculate with confidence. Suitable for school-age pupils, Matura students, and university students.

Danilson

4.95

(21)

This course is designed for students who want to gain a solid understanding of basic computer science concepts. It covers the logic behind computer systems, starting with the inner workings of a computer and progressing to topics such as networking, operating systems, and basic programming.

Whether you're considering a career in technology or simply want to better understand the digital world around us, this course will give you the tools you need to navigate the information age.

Edy

4.95

(21)

Doctor of Economics with a Master's degree in Statistics teaches statistics for secondary school, high school, gymnasium, vocational schools, apprenticeships, university (especially for economics).
Also: courses in econometrics, finance and business management.
Home schooling (up to 25 km from Neuchâtel), or at a location in Neuchâtel, or remotely with a webcam and a program such as Teams or Google Meet.

Ghassen

4.95

(21)

I offer personalized tutoring in mathematics, programming, and languages, tailored to your level and goals. Whether you are a student, beginner, or someone looking to improve your skills, I provide structured and practical lessons to help you succeed.

With a background in AI and Software Engineering, I combine strong theoretical knowledge with real-world applications. I can help you understand complex concepts in a simple and intuitive way.

Subjects I teach:

Mathematics: from school-level to university basics (algebra, calculus, problem-solving)
Programming: Python, C, C++, and Java (from fundamentals to practical projects)
Languages: English, French, German and Arabic (speaking, writing, and comprehension)

My teaching approach focuses on:

Clear explanations and step-by-step guidance
Practical exercises and real examples
Adapting to your pace and learning style

I am patient, flexible, and committed to helping you build confidence and achieve your goals—whether it's passing exams, improving skills, or starting something new.

Rami

4.95

(21)

This class is designed to introduce students to the world of programming and technology in a simple, practical, and engaging way. Whether you are completely new or already have some basics, I adapt the lessons to your level.
We will cover topics such as:
Programming fundamentals using Python
Basics of web development (HTML, CSS, simple JavaScript)
Understanding how computers and the internet work
Problem-solving and logical thinking
Small hands-on projects to apply what you learn
My teaching approach is interactive and focused on practice rather than theory. Students will build real examples step by step, making learning both fun and useful.