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Computer science lessons in Barkā’

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1 computer science teacher in Barkā’

Neel - Manchester, United KingdomC$27
C$27Introduction to Python Programming and Machine Learning Basics
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!
Computer programming · Computer engineering · Computer science
Hurraira - United KingdomC$31
C$31Computer Science, Math and Physics Tutoring for GCSE Students
GCSE Computer Science, Mathematics, and Physics Tutoring I specialize in tutoring Computer Science, Mathematics, and Physics for GCSE students. I aim to provide clear, engaging lessons that help students master key concepts while building confidence in their problem-solving abilities. In Computer Science, students will learn programming fundamentals, algorithms, loops, logic gates, conditions, computational thinking, and exam techniques to excel in theory and practical assessments. Whether you're new to coding or refining your skills, I guide students through real-world applications of computing, using languages like Python to bring lessons to life. In Mathematics, I focus on helping students understand the core principles of algebra, geometry, and statistics. Lessons are designed to reinforce schoolwork, address challenging topics, and prepare students for GCSE exams with practice problems, test-taking strategies, and personalized feedback. For Physics, I make complex concepts like mechanics, electromagnetism, and energy systems accessible and interesting. Students will engage in hands-on activities and thought experiments that deepen their understanding of the physical world, preparing them for exams and future STEM studies. I assign targeted homework after each session and provide periodic progress reports to ensure students stay on track and continuously improve. My approach is to challenge students without overwhelming them, fostering a positive learning environment where they can excel academically.
Computer science · Math · Physics
Yedija Messa Sirao - Manchester, United KingdomC$38
C$38Learning and Mastering Artificial Intelligence and Data Science: From Fundamentals to Advanced Applications for Real-World Success
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.
Numerical analysis · Database · Computer science
Muhammad - PakistanC$29
C$29computer networking with CCNA CCNP MCSE AND VMWARE ESXI
I am a highly experienced computer network engineer with over 9 years of field expertise and 4 years of online teaching. My core specialties include Cisco CCNA, CCNP, VMware ESXi, Fortigate firewall, MCSE Server, and Linux systems. I focus on helping students and professionals excel in networking, system administration, and cybersecurity. With a solid foundation in both practical and theoretical knowledge, I provide hands-on learning experiences using real-world scenarios. I specialize in simplifying complex topics for students of all skill levels, ensuring they build a strong understanding of core concepts. Skills and Expertise Cisco CCNA & CCNP: Master the core networking concepts and configurations with practical labs. VMware ESXi Virtualization: Virtualization expertise for data center management and optimization. Fortigate Firewall: Learn advanced security configurations to secure and optimize networks. MCSE Server: Comprehensive teaching on Windows Server environments for enterprise-level management. Linux: Guide students on Linux server administration and configuration, focusing on open-source technologies. Teaching Approach My teaching method is highly interactive, focusing on personalized learning based on each student's unique needs. I emphasize real-world labs, troubleshooting, and best practices to ensure students can apply their skills directly in the field. Whether you are preparing for a certification exam, aiming to upgrade your skills, or pursuing a new career path, I am dedicated to helping you achieve your goals. Why Choose Me? Proven track record with hundreds of successful students. Focus on practical, job-ready skills. Custom-tailored lessons to meet your learning pace and objectives. Guidance on certifications and career advancement.
Networking · Computer science · Computer engineering
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