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As a university professor specializing in statistics and mathematics. In addition to that, I obtained many certificates in computer training, and after my previous experience as a computer trainer in many training centers, it was necessary for me to master the use of the Excel program at its basic and advanced levels. As a result, I prepared two lessons that included distinct explanations in Arabic and English, according to the trainee’s language. As a university professor specialized in statistics and mathematics, and with multiple certifications in computer training, in addition to my prior experience as a computer trainer in various training centers, it was imperative for me to master the use of Excel at both basic and advanced levels. . Consequently, I have prepared two lessons, presented in both Arabic and English, which include comprehensive explanations. Lesson One: Introduction to using Excel In this lesson, you will introduce basic concepts about Excel in a simplified way. You can include the following: Explanation of the Excel interface: Explanation of the main interface elements such as the toolbar and navigation bar. Create a simple table: How to create a basic table in Excel and enter data into cells. Simple Calculations: How to use basic arithmetic operations such as addition, subtraction, multiplication, and division. Data formatting: How to format data so that fonts, colors, and style can be changed. Lesson 1: Introduction to Using Excel In this lesson, I will provide a simplified explanation of basic Excel concepts, covering: Excel Interface: An overview of the main elements of the interface, such as the toolbar and the navigation bar. Creating a Simple Table: How to create a basic table in Excel and input data into cells. Basic Calculations: How to perform fundamental mathematical operations such as addition, subtraction, multiplication, and division. Data Formatting: How to format data, including changing fonts, colors, and styles. Lesson Two: Excel for the advanced level This lesson can be targeted at people who want to use Excel for more complex purposes. You can include the following topics: Functions and equations: An explanation of the use of built-in functions such as SUM and AVERAGE, but not limited to, and custom equations. Dynamic Tables: How to create dynamic tables and use them to analyze data. Conditional formatting: How to set up conditional formatting of cells based on certain rules. Graphs: How to create graphs and use them to visualize data. Data Review: Explain how to use review tools such as filters, sorting, and searching. Within each lesson, you can include interactive examples and hands-on exercises to help students apply the concepts explained. Students can also be directed to additional resources for delving deeper into Excel if they are interested. On the practical side, you can use Excel to create examples and practical exercises that help students apply the concepts taught in the lessons. Thus, you will have excellent lessons to teach basic and advanced use of Excel. Lesson 2: Advanced Excel This lesson is designed for individuals who wish to utilize Excel for more complex purposes. It will cover the following topics: Functions and Equations: Explanation of using built-in functions like SUM, AVERAGE, and more, as well as creating custom equations. Pivot Tables: How to create pivot tables and use them for data analysis. Conditional Formatting: How to set up conditional formatting for cells based on specific criteria. Charts and Graphs: Create charts and graphs to visualize data. Data Review: Explanation of tools for data review, such as filters, sorting, and search. Within each lesson, interactive examples and practical exercises will be included to help students apply the concepts taught. Additionally, students can be directed to additional resources for further in-depth exploration of Excel if they are interested. These lessons will ensure that students can learn how to use Excel effectively at both basic and advanced levels, benefiting from my expertise in the field.

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offering best technologies to build web applications front end and back end using , java, spring boot, angular, bootstrap, sql and non sql database and other technologies with testing, micro services architecture and more The best techniques and programming languages to build the most powerful applications using Java, SpringBot, Angular, Bootstrap, and various databases, with the application of the testing system, Microservices, and many of the latest technologies.

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We can provide private lessons for all mathematics subjects for middle and primary school, in an interesting and interactive way. More than 5 years experience in private lessons Competitive prices - lessons in Arabic and English Possibility of establishing from scratch and follow-up online or at the student’s home, in addition to supporting examples

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Welcome to an immersive journey through the world of computer science! As a seasoned educator proficient in all facets of computer science, I offer personalized tutoring sessions tailored to students from ages 5 through university level. Whether your child is taking their first steps into coding or you’re pursuing advanced topics in computer science, my tutoring services are designed to meet your needs. Skills Covered: 1. Programming Fundamentals: From understanding basic syntax to advanced algorithmic problem-solving, students will grasp the core principles of programming languages such as Python, Java, and C++. 2. Web Development: Learn HTML, CSS, and JavaScript to build dynamic and interactive websites from scratch. Explore frameworks like React and Angular for advanced front-end development. 3. Data Structures and Algorithms: Master the fundamentals of data structures like arrays, linked lists, trees, and graphs, along with efficient algorithms for sorting, searching, and optimization. 4. Database Management: Gain expertise in database design, SQL querying, and database administration to effectively manage and manipulate data. 5. Computer Science Theory: Delve into theoretical concepts including finite automata, formal languages, Turing machines, and computational complexity. 6. Cybersecurity Basics: Understand the principles of cybersecurity, including encryption techniques, network security, and ethical hacking practices to stay safe in the digital world. Approach: My teaching approach is highly interactive and student-centered, fostering a supportive learning environment where questions are encouraged and concepts are reinforced through hands-on exercises and projects. I believe in empowering students to think critically and creatively, equipping them with the skills they need to excel in computer science and beyond. Benefits: 1. Customized Curriculum: Each tutoring session is tailored to the individual needs and learning styles of the student. 2. Flexible Scheduling: Convenient scheduling options to accommodate busy student schedules. 3. Progress Tracking: Regular assessments and progress reports to monitor student development and adjust teaching strategies accordingly. 4. Holistic Learning: Beyond technical skills, students will develop problem-solving abilities, logical reasoning, and a passion for lifelong learning. Embark on your computer science journey with confidence and let’s unlock the endless possibilities of technology together!

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ICT for school Web development web design database Microsoft office (word - excel - PowerPoint...) PHP HTML, CSS, Bootstrap Angular Python photoshop MATLAB Image Processing Teaching all classes in computer science and information technology

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I have taught for a number of years’ experience teaching in the UK and currently teach in Doha. I have taught GCSE's and the High school American curriculum. I currently teach at am American school and cover Java Script and AI to the senior students, I design lesson plans, quizzes, projects, arrange trip where possible along with covering other subjects. For GCSE’s I have taught KS3, KS4 & KS 5 information technology and computer science. I covered a wide range of the curriculum from I.T, Functional skills ICT, KS3 to CS KS4, BTEC I.T level 3 KS5. I teach a small number of students Imedia and followed the OCR spec J277 for GCSE’s CS. I taught topics such as Mobile app dev, spreadsheets, network security etc. I also covered a wide range of topics in GCSE’s such as the OCR spec J277: J277/01: Computer systems 1.1 Systems architecture • 1.2 Memory and storage • 1.3 Computer networks, connections and protocols • 1.4 Network security • 1.5 Systems software • 1.6 Ethical, legal, cultural and environmental impacts of digital technology J277/02: Computational thinking, algorithms and programming • 2.1 Algorithms • 2.2 Programming fundamentals • 2.3 Producing robust programs • 2.4 Boolean logic • 2.5 Programming languages and Integrated Development Environments

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I am graduate in Electrical engineering with more than 8 years of professional experience. Always love to teach and share information to others. I love to teach my kids and so I am here to teach your little one’s.Learning is fun. I would love to teach kids.

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IT Specialist, Technical Support Engineer, IT Assistant Lecturer with Master's Degree in Computer Engineering (Networking).10 years of experience as a Computer and Math teacher in Arabic and English languages. I am seeking a challenging position, which will allow me to make full use of my academic qualifications and experience. I would like to have the opportunity to contribute to an organization, organization, or business in which my skills, work ethic, and personality are put to the best use.

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I focus on building strong technical skills that will enable you to excel academically and succeed professionally. The lessons cover topics such as computer basics, programming, office software use, networking, and information security, with practical applications to help students understand and apply the material. The lessons are suitable for all ages, from elementary school to university, and are delivered in a calm and engaging manner that caters to each student's needs.

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Computer Science courses from beginner to intermediate level - Using Windows - Using Microsoft Office (Word, Excel, PowerPoint) - Safe-surfing (using Web without risks) - Using specific applications (on-demand) - Trick of using computer - Programming courses

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For example, when talking about the types of data that we deal with, the software has a specific type, and its type is what determines what we can do with it. For example, numerical data can be subjected to mathematical operations, while textual data can be modified and displayed in the way we want.

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I specialize in mathematics and computers I have great confidence in myself to deliver information and simplify it to the student, and I am responsible and honest, and I promise my dear students to follow up and make sure to find the necessary ways to simplify the lesson, even though I have high capabilities in science and student training and to ensure the enhancement of the student’s self-confidence. Thank you very much, respect, peace and mercy of God be upon you.

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21Students

I teach Python specifically for finance and data applications - the kind used in economics, business analytics, and quantitative programs. This isn't a general "learn to code" course; it's built around real financial data, benchmarking, and the workflows you'll actually use in coursework or early career work. Topics include: Python fundamentals through a finance lens (data structures, functions, control flow). Working with financial data and datasets. Performance benchmarking and writing efficient code. Applying concepts from Hilpisch's Python for Finance.

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14Students

Python is the most in-demand programming language in the world right now — and one of the easiest to learn with the right guidance. Whether you've never written a line of code or you're a student who needs to pass a programming course, this is a practical, no-fluff introduction that gets you writing real code from session one. What we can cover depending on your goals: Python fundamentals: variables, loops, functions, data structures - Object-oriented programming (OOP) - Data manipulation with pandas and NumPy - Introduction to machine learning with scikit-learn - Database management with SQL - C and Java upon request - MATLAB and R available for engineering/science students Why learn with me? I'm not a student teaching on the side — I'm a professional engineer who uses Python daily for data analysis, modeling, and automation. I know exactly which concepts matter in the real world and which ones you can skip for now. Sessions are 100% personalized: I adapt the pace, the examples, and the exercises to your background and your goal — whether that's passing your university exam, building a project, or landing a job.

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1Students

I teach machine learning, AI and Python online to university students, postgraduates, career changers and serious beginners across the UK and Europe. Lessons are in English. I hold an MSc in Electronics and Electrical Engineering with Distinction and I teach as a Visiting Lecturer on a Master's level module covering data analytics, machine learning and generative AI at a UK university. I also have two accepted international conference papers on deep learning for image classification. I set and mark postgraduate assignments myself, so I know where marks are won and lost on this kind of work. Who this is for Undergraduates and postgraduates on AI, ML, data science or computer science modules at any European university. Final year, Master's and thesis students working on a machine learning project. IB and A Level students moving into computing or engineering. Professionals retraining for data roles. Complete beginners who want to learn Python properly rather than copying it from videos. I work with students on UK, IB and continental European programmes. I have tutored engineering students in Germany and international school students across several countries, so an unfamiliar syllabus or a module taught in a different structure is not a problem. Send me the material and I will work from it. What we cover Python for data science with NumPy, Pandas, Matplotlib and scikit-learn. Deep learning using TensorFlow and Keras. Core theory including regression, classification, clustering, decision trees, random forests, neural networks and CNNs, together with the linear algebra, calculus and statistics underneath them. Computer vision and image classification, which is my published research area. Model evaluation, overfitting and hyperparameter tuning. Writing machine learning work up to academic standard, covering methodology, results and critical evaluation. How lessons work Send me your module handbook, assignment brief, thesis spec or the code that will not run, and I plan the session around it before we meet. Nothing generic. In the lesson I explain the concept with a worked example, then you take the keyboard while I watch and correct, because you learn far more doing it than watching me do it. You finish with annotated notes and a clear next step, and you can message me between sessions with questions. Practical details Online over Google Meet or Zoom with screen sharing and a shared whiteboard. Sessions run 60 or 90 minutes. I am based in the UK and teach across GMT and Central European time, with evening and weekend slots that suit students anywhere in Europe. Tell me your course, your deadline and exactly where you are stuck, and I will come back with a plan for the first session.