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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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Whether you're involved in finance, management, planning, project management, human resources, or perhaps an ambitious student looking to hone your professional dashboarding skills, you've come to the right place. If you're looking for a solution that goes beyond the limitations of Excel and PowerPoint, then you've come to the right place: allow me to introduce you to Power BI. With Power BI, I offer you much more than just a tool. It's a gateway to interactive reporting, efficient data management, and advanced analytics. Here's what I can offer you: - Expert creation and management of interactive reports. - Careful transformation and cleaning of data for maximum accuracy. - Use of powerful DAX formulas for advanced data analysis. - Creation of custom visualizations and impactful dashboards. - Secure sharing and publishing of your reports for seamless collaboration. -Automation of repetitive tasks with Power BI & Power Query. Whatever your specific needs—whether they relate to professional projects, studies, or personal aspirations—I'm here to offer you a tailor-made solution. Together, we'll create a program tailored to your goals, guiding you through every step of your learning journey. Whether you're a beginner looking to master the basics or an expert looking to deepen your knowledge of data analysis, I'm here to provide the expertise and support you need to succeed.

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Artificial Intelligence (AI) is transforming industries and reshaping how we interact with technology. This course is designed for individuals interested in understanding the fundamentals of AI, its applications, and its impact on society. Whether you're a complete beginner or have some prior knowledge, this course will provide you with a solid foundation in AI concepts and techniques. In this course, you will learn about: Understanding AI Fundamentals: Explore the core principles of artificial intelligence, including machine learning, deep learning, and natural language processing. AI Applications: Discover how AI is being used across various sectors such as healthcare, finance, automotive, and entertainment. Data and Algorithms: Gain insights into the importance of data in AI and learn about the algorithms that power machine learning models. Ethics in AI: Discuss the ethical implications of AI technologies and their societal impact, including bias, privacy concerns, and job displacement. Hands-On Projects: Engage in practical exercises that will allow you to apply your knowledge by working on real-world AI projects.

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Learning about computer science and how to write programs from an early age will teach students to logically think their way through any type of problem. This paves the way for independent thinking and the ability to produce solutions to problems from a new perspective: an extremely useful skill in any career choice. Adept at developing interactive lesson plans, maintaining a safe and clean lab, and helping students with specialized projects. Specializes in getting students to understand the practical side of computers and teaching students Internet responsibility.

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the description: In the "Writing Commands for AI" course, we will learn how to formulate effective commands and directives that allow AI to achieve accurate and reliable results. This course is designed for anyone who wants to understand how to communicate with intelligent systems, whether you are a beginner or a technology professional. Content: Introduction to artificial intelligence and machine learning: Overview of artificial intelligence. Understand how intelligent systems work and interact with commands. Principles of writing commands: How to formulate orders clearly and specifically. Avoid vague orders and make sure directions are comprehensive. Command structure: Typical command components: inputs, processors, and outputs. Use conditional commands and repetitive operations. Test and improve commands: Methods for testing the effectiveness of commands and verifying the accuracy of the response. Optimize orders based on the results and data received. Application examples: Practical application on writing commands for various artificial intelligence systems such as chatbots, recommendation systems, and natural language processing. best practices: Tips for keeping orders organized and maintainable. How to write commands that handle unexpected situations. Expected benefits: Trainees will learn how to effectively communicate with intelligent systems to achieve desired goals more efficiently, and how to employ artificial intelligence to solve complex problems and provide continuous performance improvements. Level: Beginner Media: educational videos, practical applications, and interactive exercises.

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Computer basics: How does a computer work and its components (Hardware, Software). Explain the role of each part and how it works. Office programs: Explanation of the most important office programs (Word - Excel - Powerpoint). And the practical application of the programs - Web Design (HTML - CSS - JAVA Script) Practical application and projects. You know the basics of programming in JAVA or Python

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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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Understanding algorithms is essential for anyone pursuing computer science or programming. In this course, I provide a structured approach to learning algorithms—from fundamental concepts like sorting and searching to advanced techniques such as dynamic programming and graph theory. Whether you're preparing for exams, coding interviews, or aiming to improve your problem-solving skills, this course is designed to build strong algorithmic thinking. Through practical examples and step-by-step explanations, I help students master the logic and techniques needed to write efficient and elegant code.

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I offer one-to-one Machine Learning and AI tuition for university students, postgraduates, working professionals, and serious self-learners. Lessons are available online or in person around Birmingham. What I cover: Python for data science and ML (NumPy, Pandas, Scikit-learn) Deep learning with TensorFlow and Keras Core ML concepts: regression, classification, clustering, neural networks, CNNs Computer vision and image classification (my published research area) University coursework support, dissertation help, project guidance Help with Kaggle competitions and personal portfolio projects How I teach: I focus on understanding, not memorisation. We work through real datasets and real problems — not toy examples — so you can actually apply what you learn. I'll help you build a model from scratch, debug it when it doesn't work, and explain the maths behind why it does or doesn't perform well. For university students, I can also help with assignments, dissertations, and final-year projects. Whether you're just starting out, stuck on a coursework project, or trying to break into ML professionally, I can meet you wherever you are and help you move forward.