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Discover the Best Private Computer science Classes in Bexley

For over a decade, our private Computer science tutors have been helping learners improve and fulfil their ambitions. With one-on-one lessons at home or in Bexley, you’ll benefit from high-quality, personalised teaching that’s tailored to your goals, availability, and learning style.

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1 computer science teacher in Bexley

Trusted teacher: 🌱 EVERY JOURNEY STARTS WITH ONE STEP LET'S START YOUR JOURNEY TO BECOMING TECH PROFESSIONAL 🎯 Welcome to the exciting world of PYTHON🐍😁! An exciting and comprehensive course designed to introduce students to the fascinating world of Python programming. As a private home tutor, I have created this course to equip students with the essential skills and knowledge needed to thrive in the digital age. Through engaging lessons and hands-on projects, students will embark on a coding adventure, unleashing their creativity and building a solid foundation in Python programming. By learning with me, you will gain a competitive edge in the rapidly evolving technological landscape. Python is a versatile and widely-used programming language with applications in various fields, including web development, data analysis, artificial intelligence, and more. Mastering Python opens doors to exciting career opportunities and lays a strong foundation for future studies in computer science and related disciplines. This course will empower you to think critically, solve problems systematically, and harness the power of coding to shape the world around them. In my classes, I adopt an immersive and hands-on approach to make learning Python programming enjoyable and effective. The course is thoughtfully structured, starting with the basics and gradually progressing to more advanced concepts. Through a series of interactive lectures, practical exercises, coding challenges, and creative projects, students will gain a deep understanding of Python syntax, data structures, algorithms, and programming techniques. To foster a collaborative learning environment, I encourage students to actively participate, share ideas, and collaborate on coding projects. Real-world examples and case studies will be incorporated to demonstrate the practical applications of Python programming. Additionally, I will introduce students to industry-standard tools and best practices, preparing them to write clean, efficient, and professional code. Throughout the course, I will provide individualized attention and support to address each student's unique learning needs. By offering personalized feedback and guidance, I will ensure that students build a solid programming foundation and develop their problem-solving and logical thinking skills. 🎁 My commitment to student success extends beyond the classroom. I believe in fostering a lifelong passion for coding and providing ongoing support to my students. Even after the course concludes, I will continue to offer guidance, resources, and assistance to help students further enhance their Python programming skills. Whether they aspire to pursue advanced projects, participate in coding competitions, or explore specific areas of interest, I will be there to provide professional guidance and mentorship. So Join me today, let's embark on a thrilling coding journey. Together, let's unlock the potential of Python programming and empower your child to become a confident and skilled programmer, ready to navigate the digital landscape of the future.
Python · Computer science · Computer programming
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Trusted teacher: With over seven years of experience in teaching Computer Science & Information Technology (ICT), I have developed a strong expertise in delivering high-quality education across multiple internationally recognized curricula, including Cambridge IGCSE, GCSE, A-Levels, O-Levels, and Checkpoint. My passion lies in equipping students with coding, cybersecurity, and digital literacy skills, ensuring they are well-prepared for the evolving demands of the digital world. Expertise & Teaching Areas: ✅ Programming & Software Development: Python, Java, C++ ✅ Cybersecurity: Ethical hacking, data protection, network security ✅ Digital Literacy: ICT applications, online safety, cloud computing ✅ Data Science & AI: Data analysis, machine learning fundamentals ✅ Web Development: HTML, CSS, JavaScript Curriculum & Pedagogical Experience: 🔹 Cambridge IGCSE & GCSE ICT & Computer Science – Teaching core and extended syllabi, focusing on programming logic, databases, and networking. 🔹 Cambridge A-Levels & O-Levels Computer Science – Preparing students for advanced computing concepts, problem-solving, and algorithm development. 🔹 Cambridge Checkpoint ICT – Building foundational skills in digital technology and computer applications. Professional Impact: 📌 Mentored students to achieve top grades in Cambridge ICT & Computer Science exams. 📌 Developed interactive lesson plans integrating real-world applications of technology. 📌 Conducted coding boot camps and cybersecurity workshops to enhance practical learning. 📌 Guided students in project-based learning, including app development and website design. With a strong commitment to student-centered learning and technological innovation, I am dedicated to shaping future tech leaders and empowering learners with skills relevant to careers in technology, data science, and software development.
Computer science · Information technology
Trusted teacher: Python is a high level programming language. It's object oriented approach help programmers to write simple and logical codes. Due to its easy syntax, it is actually easier as compared to other programming languages. Having years of experience in coding language, I know how and where to start and move the topics at a good pace. I'll be starting with you from scratch and help you to build your concepts and master over the language. I am providing you a brief summary of our course which we generally follow but that doesn't mean that I am bound to just this much content. In case you have any doubt for any other specific topic related to the subject, you could always come up to me or you need any help in your assignments or projects, you are always welcome. Here is a brief overview of the topics we'll be covering : 1: Introduction To Python • Installation and Working with Python • Understanding Python variables • Python basic Operators • Understanding python blocks 2: Python Data Types • Declaring and using Numeric data types: int, float, complex • Using string data type and string operations • Defining list and list slicing • Use of Tuple data type 3: Python Program Flow Control • Conditional blocks using if, else and elif • Simple for loops in python • For loop using ranges, string, list and dictionaries • Use of while loops in python • Loop manipulation using pass, continue, break and else • Programming using Python conditional and loops block 4: Python Functions, Modules And Packages • Organizing python codes using functions • Organizing python projects into modules • Importing own module as well as external modules • Understanding Packages • Powerful Lamda function in python • Programming using functions, modules and external packages 5: Python String, List And Dictionary Manipulations • Building blocks of python programs • Understanding string in build methods • List manipulation using in build methods • Dictionary manipulation • Programming using string, list and dictionary in build functions 6: Python File Operation • Reading config files in python • Writing log files in python • Understanding read functions, read(), readline() and readlines() • Understanding write functions, write() and writelines() • Manipulating file pointer using seek • Programming using file operations 7: Python Object Oriented Programming – Oops • Concept of class, object and instances • Constructor, class attributes and destructors • Real time use of class in live projects • Inheritance , overlapping and overloading operators • Adding and retrieving dynamic attributes of classes • Programming using Oops support 8: Python Regular Expression • Powerful pattern matching and searching • Power of pattern searching using regex in python • Real time parsing of networking or system data using regex • Password, email, url validation using regular expression • Pattern finding programs using regular expression 9: Python Exception Handling • Avoiding code break using exception handling • Safe guarding file operation using exception handling • Handling and helping developer with error code • Programming using Exception handling 10: Python Database Interaction • SQL Database connection using python • Creating and searching tables • Reading and storing config information on database • Programming using database connections 11: Python Multithreading • Understanding threads • Forking threads • Synchronizing the threads • Programming using multithreading 12: Contacting User Through Emails Using Python • Installing smtp python module • Sending email • Reading from file and sending emails to all users addressing them directly for marketing 13: Python CGI Introduction • Writing python program for CGI applications • Creating menus and accessing files • Server client program In case you have any query, please feel free to contact me. Give yourself a chance for a better future. All the best
Computer science · Computer programming · Computer engineering
Trusted teacher: Master pseudo-code algorithms in this hands-on course with dozens of different algorithms In this course, you will learn the basics of computer programming through the fundamental subject taught in all higher schools of computer science: algorithms. This is the initial stage of your learning to become a computer scientist (programming) First we will see a broad introduction to computer programming, and we will explain what algorithms are. Then, you will learn the language of computer scientists by studying "pseudo-code", and you will learn all the concepts of computer science through a multitude of practical exercises. The topics covered are very broad and comprehensive: Introduction - Algorithm Syntax - data type and Variables - The operators - The instructions - Conditions - The repetitive structure (loops) - The tables - Research techniques - Sorting algorithms - dichotomous search - Functions - The procedures - Recursion -complexity - Introduction to the C language - ... Your first programs... Finally, you will start programming by creating several algorithms in a specific programming language (here, C language). These algorithms are applicable in all programming languages. The goal... With more than 8 hours of e-courses, quizzes, and an assessment, you will have what you need to continue your learning of computer programming and advance towards your future profession. Who is this course for? Beginner in programming Retraining Computer science students or future students Thanks and see you soon ! IMAD
Computer programming · Algorithms · Computer science
### **Junior Level (Ages 11-14)** #### Module 1: Introduction to Cyber Security - **Week 1-2: Basics of Cyber Security** - What is cyber security? - Importance of cyber security in daily life - Common cyber threats (e.g., phishing, malware) - **Week 3-4: Safe Internet Practices** - How to create strong passwords - Recognizing suspicious online behavior - Safe use of social media #### Module 2: Introduction to Consultancy - **Week 5-6: Basics of Consultancy** - What does a consultant do? - Types of consultancy (e.g., IT consultancy, management consultancy) - Basic problem-solving techniques - **Week 7-8: Communication Skills** - Basics of effective communication - Listening skills and giving feedback - Role-playing exercises #### Module 3: Basic Cyber Security Tools and Techniques - **Week 9-10: Introduction to Encryption** - Basics of encryption and why it's important - Simple encryption activities - **Week 11-12: Cyber Security Software** - Overview of anti-virus and anti-malware software - Hands-on practice with basic cyber security tools #### Module 4: Cyber Security Projects - **Week 13-14: Group Projects** - Working on small cyber security projects - Presenting findings and solutions - **Week 15-16: Reflect and Review** - Reviewing key concepts learned - Feedback and assessment --- ### **Intermediate Level (Ages 15-17)** #### Module 1: Advanced Cyber Security Concepts - **Week 1-2: Understanding Cyber Attacks** - Types of cyber attacks (e.g., DDoS, ransomware) - Anatomy of a cyber attack - **Week 3-4: Network Security** - Basics of network security - Firewalls and intrusion detection systems #### Module 2: Consultancy Skills - **Week 5-6: Advanced Consultancy Techniques** - Consulting frameworks (e.g., SWOT analysis) - Case studies of cyber security consultancy - **Week 7-8: Client Interaction** - Understanding client needs - Role-playing client-consultant scenarios #### Module 3: Practical Cyber Security Skills - **Week 9-10: Ethical Hacking Basics** - What is ethical hacking? - Basic ethical hacking techniques and tools - **Week 11-12: Incident Response** - Responding to a cyber incident - Creating an incident response plan #### Module 4: Cyber Security Projects - **Week 13-14: Group Cyber Security Projects** - Working on intermediate cyber security challenges - Presenting solutions and findings - **Week 15-16: Reflection and Assessment** - Reviewing key concepts and projects - Feedback and improvement areas --- ### **Senior Level (Ages 18-21)** #### Module 1: Professional Cyber Security Practices - **Week 1-2: Advanced Threat Analysis** - Identifying and analyzing advanced threats - Case studies of significant cyber attacks - **Week 3-4: Cyber Security Policies and Governance** - Understanding cyber security policies - Developing and implementing cyber security policies #### Module 2: Advanced Consultancy Skills - **Week 5-6: Strategic Consulting** - Developing long-term strategies for clients - Advanced consulting methodologies - **Week 7-8: Business Development in Cyber Security** - Creating business models for cyber security services - Pitching cyber security solutions to clients #### Module 3: Specialized Cyber Security Skills - **Week 9-10: Advanced Ethical Hacking** - In-depth ethical hacking techniques - Conducting penetration testing - **Week 11-12: Cyber Forensics** - Basics of digital forensics - Tools and techniques for forensic analysis #### Module 4: Capstone Project and Professional Skills - **Week 13-14: Capstone Cyber Security Project** - Large-scale project addressing a real-world cyber security issue - Collaboration with local businesses or organizations - **Week 15-16: Professional Skills** - Advanced communication and presentation skills - Professional ethics in cyber security --- ### **Supplementary Activities** - **Workshops and Guest Lectures** - Regular workshops with industry professionals - Guest lectures from cyber security experts and consultants - **Competitions and Hackathons** - Participation in local and national cyber security competitions - Hosting cyber security challenges and hackathons --- This syllabus aims to provide a comprehensive education in both cyber security and consultancy, ensuring that students gain the necessary skills and knowledge to excel in these fields.
Computer science
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(24 reviews)
Adam - Paris, France25Fr
Trusted teacher: 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! ---
Tutoring · Computer science · Algorithms
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Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.8 out of 5 based on 83 reviews.

Python Step by step tutorial for beginners and intermediate (Amsterdam)
Izhar
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Izhar is an excellent tutor. He is very professional, knowledgeable, enlightening, insightful and adaptable/receptive to individual student needs. My tutoring session with him was really amazing and transformative for me and I highly recommend him. He keeps his lessons effective, engaging and fun. He customizes classes based upon your level of understanding. He conveys his knowledge of complex material in a manner which is easily understandable. If you want someone to work with you and ensure you progress like I have, go with Izhar.
Review by DANNY
Tutor for Math, Physics, and Mechanical/Material Engineering courses (The Hague)
Reza
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Extremely professional and knowledgeable with any problem that I have had. Reza is always polite, friendly and always shows great patience, which I believe is of the highest importance when learning difficult subjects. I highly recommend him as a teacher!
Review by EDEN
Math / Stat / Proba, Physics / Chemistry, and Bio, At Your Place, At My Place, or Remotely (Dilbeek)
Robert
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We are happy with Mr Robert , now we have him frequently for our kids
Review by EUNICE
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