Programming lessons: All levels - Algorithms/Data structures/Objects

By delving deep into the practical applications of statistics and data science, this course is designed to set you up for success. Learn from real-world examples: Instead of spending hours on theoretical material and trying to relate it to practical issues, we will focus solely on applied statistics. Programming will allow you to apply theory to real-world problems, equipping you with the knowledge and skills you need to succeed. We won’t be spending hours solving math problems by hand for reinforcement, as this isn’t school. Instead, we’ll use cutting-edge methods and code libraries that leverage the latest software releases to maximize productivity and efficiency. If you have any further questions, please do not hesitate to contact us.

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This course is tailored for IGCSE Computer Science and ICT students who want to master all the key topics in their curriculum. With a focus on practical programming skills, theoretical computer science concepts, and hands-on problem-solving, this class will guide you through the essential topics covered in the IGCSE syllabus. Learn the fundamentals of data representation, hardware and software, databases, and Boolean logic, and then build on those concepts with programming and algorithm design. Gain a deep understanding of the inner workings of computers and their applications in real-world scenarios. By the end of this course, you will have a solid understanding of key computer science concepts and the practical skills to succeed in your IGCSE exams and beyond. What You’ll Learn: Data Representation: Learn how computers represent and process data, including binary, hexadecimal, and conversions between number systems. Data Transmission: Understand how data is transmitted over networks, focusing on packet switching, USB, and data packets. Hardware & Software: Gain a foundational understanding of computer hardware components and the role of software in running programs. Boolean Logic: Explore logic gates, truth tables, and Boolean expressions, and apply them to solve complex problems. Algorithm Design: Learn to design algorithms and solve problems using effective computational methods. Programming: Master the basics of programming with hands-on coding in Python, C++, and C#. Databases: Understand database structures, SQL queries, and primary keys. Build single-table databases and learn data management techniques.

Online Course: Basic Concepts of Algorithms and Data Structures Duration : - 60 minutes: condensed format to introduce fundamental concepts with targeted exercises. - 90 minutes: extended format to explore concepts in depth, solve complex problems, and include an interactive question-and-answer session. --- General description This course is designed for students and professionals who are new to computer science, as well as those who want to solidify their foundation in algorithms and data structures. It provides a clear and practical introduction to the essential tools for solving problems effectively, by learning how to design and analyze algorithms. Whether you are preparing for an exam, a technical interview, or want to improve your programming skills, this course will guide you in understanding theoretical concepts and their practical application. --- Educational objectives At the end of the course, participants will be able to: 1. Understand the fundamental concepts of algorithms: sorting, searching, time complexity. 2. Master key data structures: arrays, lists, stacks, queues, trees, and graphs. 3. Solve problems by choosing appropriate data structures and algorithms. 4. Analyze and optimize the performance of algorithms. --- Course syllabus 1. Introduction (5-10 min) - Presentation of the objectives and concepts covered. - Importance of algorithms and data structures in computer science. 2. Fundamental concepts (20-30 min) - Definitions and roles of algorithms and data structures. - Temporal and spatial complexity: basic notions (Big O). - Basic data structures: arrays, lists, and dictionaries. 3. Practical application and examples (30-40 min) - Simple sorting implementation (insertion sort, bubble sort). - Search example (linear search, binary search). - Manipulation of stacks and queues through practical exercises. - Bonus for the 90 min format: Exploration of trees and graphs (simple example of a route). 4. Q&A and conclusion (5-10 min) - Review of the concepts covered. - Tips for continuing to practice and progress. - Suggestions for personal projects to apply the knowledge acquired. --- Teaching methodology - Interactive learning: a combination of theoretical explanations and practical applications. - Concrete examples: each concept is illustrated by practical cases and guided exercises. - Adaptation to needs: the courses are adjusted to the level and objectives of each participant, with a focus on the most relevant aspects. --- Target audience This course is aimed at: - Computer science students wishing to strengthen their mastery of the basics before exams or projects. - Programming beginners who want to understand the essential mechanisms behind problem solving. - Professionals preparing for technical interviews or seeking to improve their understanding of algorithms. --- Benefits of this online course - Personalized support from an experienced trainer. - Educational materials and practical exercises accessible after the session. - Flexible hours to fit your schedule. - Progressive approach to facilitate learning, even for beginners. Develop your skills in algorithms and data structures today to efficiently solve the complex problems of tomorrow! ---

Do not deal with the manual with terms of reference statements and basic documents that cannot be obtained in order to avoid the MongoDB problem. Please include the connection to one of the MongoDB données base, comment on simple CRUD operations and sujets clés que l'agrégation, l'indexation, la mode des données et les Transaction. 1- Install MongoDB 2- Implement MongoDB 3- Use of documents and collectibles 4 - Leadership Committee 5- Execute CRUD commands (create, read, update, delete) avec mongo shell 6- Type the register in a MongoDB database 7- Reset the base to remonter specific documents depuis mongo shell. 8- Lagrégation 9- Indexing 10- Amending institutions and transactions

In this class, kids will learn the fundamentals of programming and computer science in a fun and engaging way, and discover how these hard and soft skills can be used in their personal and future professional lives. Through interactive lessons and hands-on projects, kids will explore the world of code and create their own digital creations. Throughout the course, they will: Learn the basic concepts and terminology of programming Experiment with different programming languages and platforms Create simple programs and apps using code Collaborate with peers and share their creations Develop problem-solving skills, logical thinking, and other valuable skills that will be useful in any field By the end of the class, your children will have the knowledge and confidence to continue exploring the exciting world of programming and computer science and will understand how code can be a powerful tool for achieving success in any field. They'll be able to choose the job they want in the future or even build their own company. So, join us and code your way to success!

Mathematics: Master the fundamental concepts: algebra, geometry, statistics and functions. Solve complex problems to prepare for tests, exams or competitions. Physics: Understand the basic principles: mechanics, electricity, optics and thermodynamics. Learn how to solve practical exercises and apply formulas effectively. Python and SQL programming: Python: Introduction to programming, algorithms, data manipulation and practical projects. SQL: Introduction to databases, writing simple queries to extract and manipulate data. This course offers detailed explanations, practical exercises and projects adapted to each level for optimal progress.

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This Python course teaches you the basics of programming in Python, including variables, data types, operators, control structures (if, for, while), functions, and lists. You will also learn how to manipulate data with libraries such as Pandas and NumPy, create graphs and visualizations with Matplotlib and Seaborn, and even develop simple web applications with Flask or Django.

As a tutor, my goal is to create a supportive and engaging learning environment where students feel confident to explore and grow. I tailor my teaching style to suit each student's unique needs. My focus is on building a solid foundation in algorithm and computational concepts and fostering critical thinking, helping students not only understand the material but also develop independent problem-solving skills. For parents, I value open communication and progress updates, ensuring they are informed and involved in their child’s learning journey. My background in mathematics and data science allows me to approach problems from both analytical and practical perspectives, giving students valuable insights into real-world applications of what they learn.

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I am an Ivy League educated tutor ready to help you learn computer science to achieve higher exam scores, gain admission to top universities and 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 class.

Discover the exciting world of programming through Minecraft, you will learn the fundamentals of coding while creating and modifying your own Minecraft world. You will learn how to use programming languages to control in-game elements, create custom mods, and design your own mini-games within Minecraft. With a fun, hands-on approach, it not only teaches valuable programming skills, but also encourages creativity and logical thinking.

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