Cambridge Graduate & Google Developer - Programming Tutoring 1 on 1

You are a highschool student? You have a baccalaureate? You need help with Python (Algorithmic Programming). I am here to teach you ! I am certified from Python Institute (PCAP: Certified Associate in Python Programming) and I work with Python for more than 5 years. I am also a teacher and my students love the way I teach with (simple, clear and always funny)

I am a Yale educated tutor ready to help you learn computer science to achieve higher exam scores, gain admission to top universities or advance your career. I encourage students to explore topics they enjoy and strive to make each lesson entertaining. Learning should be fun, so my approach expands students' horizons, increasing their creativity so they realize their potential. Please click “Request a Booking” to book a lesson.

Curious about coding and need some extra help with math? This class is ideal for school students who want to learn programming or those already interested in tech but looking for additional support. Python is an excellent first language—it’s simple, intuitive, and connects well with math concepts, making it perfect for beginners. Why Choose This Class? -Engaging Python Lessons: We’ll explore essential Python concepts through hands-on projects, helping you understand coding fundamentals in a fun and accessible way. -Fun Math Support: Math can be challenging, but I’ll teach it in a way that makes it enjoyable and practical! From interactive exercises to real-life examples, I’ll help you build strong math skills that also reinforce your coding knowledge. Together, we’ll turn math into a tool for creativity and problem-solving. Whether you're new to coding or just need a boost in math, this class will set you up for success in tech and academics alike. Join me to build confidence in both Python and math!

This lesson is the fifth lesson of the Web Penetration Testing Series. This lesson consist of the following topics: - Cryptography Overview - Modern Cryptography - Steganography v/s Cryptography - Encoding and Decoding - Symmetric v/s Asymmetric Cryptography - Message Authentication and Hashing This lesson is followed by a two hours practical lab session.

Hi! Welcome to my class on Python programming! As a PhD student in Geophysics my main tool is my computer. In order to do science one needs to know how to program. I use Python everyday in order to analyze data, run numerical models, plot results and much more. So, let's embark on the journey of learning Python and explore its diverse capabilities together! For beginners: I have designed it for absolute beginners to become at ease with the language within 5 sessions of 1h. Message me to know the 5 classes curriculum and I will be more than happy to share it with you! For intermediate users: If you already know the basics of Python but want to go more in-depth on certain packages this is the right place! Message me and we can discuss what your needs are! I am a professional user of Numpy, Pandas, Matplotlib, os, scipy and many more packages! Are you not sure Python is the right language for you? Check the following out and let me know if you have any questions! First of all, what is Python? According to its creator, Guido van Rossum, Python is a: “high-level programming language, and its core design philosophy is all about code readability and a syntax which allows programmers to express concepts in a few lines of code.” Learning Python is a rewarding experience for several reasons. Firstly, Python is inherently beautiful as a programming language, offering a natural and expressive way to translate your thoughts into code. Its readability and simplicity make coding an enjoyable and intuitive process. The Python language finds applications across various domains, including data science, web development, machine learning and AI. For example, platforms like Quora, Pinterest, and Spotify leverage Python for their backend web development! This versatility makes Python a powerful tool for those eager to delve into different aspects of programming. If this caught your curiosity message me and I'll make you a Python hero! Welcome to the community!

Dive into the world of Python programming and machine learning in this hands-on introductory class! This course is designed for beginners and focuses on the foundational concepts of Python, along with the essentials of machine learning. Course Highlights: Python Fundamentals: Learn the basics of Python programming, including data types, control structures, functions, and libraries. Through practical exercises, you’ll gain confidence in writing and executing Python code. Data Manipulation and Analysis: Explore popular libraries like NumPy and pandas to handle and analyze data efficiently. Understand how to clean, process, and visualize data, preparing it for machine learning tasks. Introduction to Machine Learning: Discover the key concepts of machine learning, including supervised and unsupervised learning, algorithms, and model evaluation. Gain insights into how machines learn from data. Hands-On Projects: Apply your knowledge through real-world projects, where you'll build simple machine learning models using libraries such as scikit-learn. You'll learn to make predictions and evaluate model performance. Collaboration and Support: Work alongside fellow students in a collaborative environment, with ample opportunities for group discussions and individual support from the instructor. Who Should Enroll: This class is ideal for anyone interested in starting a career in data science or machine learning, or for those looking to enhance their programming skills with practical applications in Python. Join us and embark on an exciting journey into the realm of programming and machine learning!

I am a Yale educated tutor ready to help you learn computer science to achieve higher exam scores, gain admission to top universities or advance your career. I encourage students to explore topics they enjoy and strive to make each lesson entertaining. Learning should be fun, so my approach expands students' horizons, increasing their creativity so they realize their potential. Please click “Request a Booking” to book a lesson.

<Course Description> This course is designed for beginners who are interested in learning programming with Python. It covers the basic concepts of programming such as data types, variables, control structures, functions, and file I/O. Participants will learn how to write Python programs, debug code, and design algorithms using Python. The course also introduces the basics of object-oriented programming and the Python libraries used for data manipulation and visualization. <Prerequisites> No prior programming experience is required. However, familiarity with basic computer concepts such as files, folders, and operating systems is recommended. <Learning Objectives> By the end of the course, participants will be able to: * Understand the fundamentals of programming and how it applies to Python * Write Python code for simple applications and automate repetitive tasks * Use control structures such as loops and conditional statements * Create functions to encapsulate code and enable code reuse * Work with Python libraries such as NumPy, Pandas, and Matplotlib * Use object-oriented programming principles to design more complex programs * Debug code and use error-handling techniques <Course Outline> The course is divided into modules that build on each other to provide a comprehensive introduction to Python programming. Each module consists of lectures, demonstrations, hands-on exercises, and quizzes to reinforce learning. Here is an outline of the course: Module 1: Introduction to Python History and Overview of Python Setting up Python environment Writing and running basic Python programs Variables, data types, and operators Module 2: Control Structures Conditional statements and Boolean logic Loops and iteration User input and output Module 3: Functions Writing and calling functions Scope and namespaces Return values and parameters Lambda functions Module 4: File Input and Output Reading and writing files File modes and buffering Handling exceptions and errors Module 5: Object-Oriented Programming Classes and objects Inheritance and polymorphism Data encapsulation and abstraction Special methods and decorators Module 6: Python Libraries Introduction to NumPy, Pandas, and Matplotlib Data manipulation and analysis with Pandas Data visualization with Matplotlib Conclusion This beginner's programming class in Python provides a solid foundation for anyone interested in learning programming and using Python for data analysis, automation, or software development. With hands-on exercises, interactive quizzes, and a comprehensive final project, participants will learn how to write Python code that is efficient, maintainable, and elegant.

My class teaching working goes smooth . Learning pattern goes in a interesting manner . Unlimited doubt sessions and deep understanding is given to each student. Lot of other guidance are also provided along with notes. Each child will get a growth chart every month. There will be no burden in the teachings . Just normal learnings and small test will be conducted.

Computer Science is the future. As we are moving towards a digital age with a high speed. As a programmer you can be a part of that future and can develop many different novel things. This course is made specifically for any person of any age to get a crystal clear image of Computer Science. You will learn basic concepts of Programming (using Python and C++) and of many other fields (such as, AI, database, networking and so so). After completing the course you will be able to create and implement many different novel idea digitally.

6 Python Programming Sessions of 1 hour each: Session 1: Basics Python Data Types and Variables: Operators and Expressions. Decision Making: If statement; If - else statement; If- elif - else statement; Nested if - else. Session 2: Using Loops: The while, while-else. For loop; Jump statements: break, continue; Nesting loops. Session 3: Working with variables and its scope; Conversion and casting types in Python. Session 4: Python Built-in functions Maths Functions. Random Functions. Session 5: Strings Functions.

Welcome to "AI and Data Science" – a comprehensive, customizable course designed for learners at any level, from beginners to advanced professionals. Whether you're just starting your journey into the world of artificial intelligence and data science or looking to enhance your existing skills, this course will provide you with the knowledge and practical tools you need to excel. What You'll Learn: Fundamentals of Data Science: Understanding data collection, cleaning, and preprocessing; learning to analyze and visualize data using tools like Python, Pandas, and Matplotlib. Introduction to AI and Machine Learning: Explore basic concepts of AI, supervised and unsupervised learning, and popular algorithms (e.g., regression, classification, clustering) with hands-on coding exercises. Advanced AI Techniques: Delve into deep learning, neural networks, and advanced algorithms like decision trees, SVMs, and reinforcement learning. Practical Projects: Work on real-world projects such as predictive modeling, sentiment analysis, and building AI applications using Python libraries like TensorFlow and PyTorch. Storytelling with Data: Develop skills to communicate insights effectively, using data visualization tools and storytelling techniques to create compelling narratives from data. Database Management: Learn how to work with databases (SQL and NoSQL) and manage data efficiently for large-scale applications. What to Prepare: Basic Computer Skills: No prior programming experience is required for beginners, but familiarity with basic computer operations is recommended. Software Setup: Students will need to install software like Python, Jupyter Notebooks, and data science libraries (instructions will be provided during the course). Curiosity and Dedication: This course encourages a hands-on approach, so students should come ready to code, experiment, and learn through practical examples. What to Expect: Customized Learning Experience: Lessons are tailored based on the student’s level and goals, ensuring a personalized approach that aligns with your learning pace and interests. Supportive Environment: Receive one-on-one mentoring and support to help you overcome challenges and master complex topics. Skills You Can Apply Immediately: Gain practical, job-ready skills that are in high demand across industries, including AI, finance, marketing, and tech.

I have 15 years of experience working in companies large and small, specialising in Excel VBA, Access VBA and SQL to create databases and reports. If you want to learn Excel, be it a beginner introduction class or expert level than I can help. I am a native English speaker with friendly and clear communicaton.

As an online and physical tutor, i am knowledgeable and experienced in your subject matter. I possess excellent communication skills, and i am patient and understanding when working with students. I have a passion for teaching and are committed to helping your students succeed. I adept at using technology to facilitate online learning, and you are able to create engaging and interactive lessons that cater to each student's learning style. In a physical setting, I create a welcoming and comfortable learning environment that allows students to feel at ease and encourages them to ask questions and participate in discussions. Overall, I am a skilled and effective tutor who is dedicated to helping students achieve their academic goals.

I am a Graphics Designer and web developer with over 5 years of experience, I have worked with more than 200 clients around the world and created more than 2000 designs, and designed more than 15 websites. I am a man of knowledge that can change and build your future not just by helping you in your studies but also with life and helping your businesses and Jobs to grow and how to work with the market. I will do my best to make you run with society and lead to the future.