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4223 online computers & electronics teachers

Computer science · Information technology · Computer modeling
These Microsoft Excel classes are designed to help students, freshers, and working professionals build strong Excel skills that are directly applicable in real corporate environments. The course focuses on hands-on learning, real business scenarios, and practical problem-solving rather than just theoretical functions. With guidance from an industry professional currently working as a Pricing Analyst at Honeywell International, learners will gain exposure to how Excel is actually used in analytics, pricing, operations, and business decision-making. What You Will Learn: ● Excel basics: interface, formatting, shortcuts, and productivity tips ● Data handling: sorting, filtering, data validation, and cleaning ● Core Excel formulas: IF, VLOOKUP/XLOOKUP, INDEX-MATCH, SUMIFS, COUNTIFS ● Advanced Excel techniques for analysis and reporting ● Pivot Tables & Pivot Charts for data summarization ● Dashboard creation using Excel ● Automation using formulas and Excel tools to reduce manual work ● Real-world use cases from finance, pricing, sales, and operations ● Best practices used in corporate reporting and decision support Teaching Approach: ● Step-by-step explanation from basic to advanced level ● Practical exercises using real business datasets ● Focus on speed, accuracy, and efficiency ● Industry examples from global organizations. ● Personalized attention based on the learner’s background and goals Who Should Join: ● Students and fresh graduates looking to build strong Excel skills ● Working professionals aiming to improve productivity and reporting ● Aspiring data analysts and business analysts ● Anyone who wants to use Excel confidently in real-world scenarios By the end of the course, learners will be able to analyze data effectively, create professional reports and dashboards, automate repetitive tasks, and use Excel confidently in their academic or professional work.
Microsoft excel
With over 25 years of academic teaching experience in both Mathematics, Computer Science, and Statistics. I am confident in my ability to contribute meaningfully to teaching. I have taught a diverse range of courses within the Department of Mathematics – College of Science, including both Mathematics and Computer Science Courses, both in English as well as Arabic. Additionally, I have taught Mathematics in the Department of Basic Sciences – Preparatory Year Deanship, preparing students for academic success across scientific disciplines. Earlier in my career, I also taught at the University of Khartoum in Sudan, where I contributed to building foundational skills in both Mathematics and Computing among undergraduate students. I am fluent in English, highly skilled with LMS platforms such as Blackboard, Google Meet, Zoom, MS Teams and committed to student-centered teaching. My approach integrates digital tools, real world examples, and collaborative learning to help students bridge the gap between secondary and higher education. My philosophy of teaching evolved via my long teaching experience. As I reflect on my beliefs regarding teaching and learning, I find that my mission as a teacher is threefold: - To promote positive learning. - To spark the learner’s enthusiasm for learning. - and to provide a strong foundation for lifelong learning. I am an expert in teaching Calculus, Trigonometry, Algebra, Differential Equations, at all levels from school to university. In Computer Science I have been teaching Java Language for more than 24 years and also I teach Python and OUBuild which is a unique graphical Computer Language, MS Excel, MS Word, MS PowerPoint.
Algebra · Calculus · Computer science
After an initial assessment, this course is designed to transform your child from a passive consumer of technology into an active, ethical AI creator. Based on the personalized roadmap developed in the first session, the 5-week program delivers structured, project-based learning tailored to your child's cognitive strengths and interests, specifically addressing any learning barriers identified during the diagnostic phase. What we achieve in 5 weeks: Week 1-2: Foundations of Machine Learning & Critical Thinking: We move beyond definitions, using interactive projects to understand how AI learns (data, bias, pattern recognition). This builds critical thinking about the technology they use daily. Week 3-4: Ethical Generative AI for Creativity: Students learn to master prompt engineering to create digital art, stories, or game concepts using generative AI tools. Safety and Ethics are paramount: we focus on responsible usage, digital citizenship, and copyright basics. Week 5: The Final AI Creator Project: personalized mini-project (e.g., training a simple image classifier or writing a fully co-authored AI story) to demonstrate autonomy and mastery of the core concepts. As your specialized 10+ year tech educator and coach, I ensure: SEN Integration: Continuous adaptation of project requirements and delivery methods to ensure students with Special Educational Needs (SEN) maintain confidence and measurable progress. Skill Transfer: We teach skills that translate directly to school projects, not just AI theory, but advanced digital literacy and structured problem-solving.
Information technology · Computer programming · Learning & study skills
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