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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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I am smruthy, I have 10 years of teaching experience in computer science and engineering. Professional Summary: Compassionate, creative and effective Teacher with valuable experience in classroom administration, professional development and project planning. Equipped with extensive background in versatile education environments. Student-centric instructor, academic facilitator and motivational coach. Competent at performing independently or as member of teaching team. Well- versed in classroom and online technologies. Detail-oriented team player with strong organizational skills. Ability to handle multiple projects simultaneously with a high degree of accuracy. Computer Skills Programming Languages: Python, C++, C, Java, Scratch basics. Operating System : Windows, Linux Working Experience : MS Word, MS Power Point, MS Excel. Web Technologies: HTML, JavaScript, CSS. Databases: SQL. Testing Tools: Selenium Education Master of Engineering, Computer Science – Kumaraguru College of Technology, Anna University, Coimbatore, India | 2008 – 2010 Bachelor of Technology, Computer Science –Viswa Jyothi College of Engineering and Technology, Mahatma Gandhi University, Kerala, India | 2004-2008 Work History Computer Faculty, Canoli Institute of Advanced Technology (CIAT), Ponnani, Kerala, Duration: 2021– 2023. Assistant Professor | Mar Baselios Institute of Technology and Science (MBITS) Nellimattom, Kerala, Duration: 2010 -2018 Handled subjects like: Operating Systems, Computer Programming, Object Oriented Programming, Java, Network Security, Computer Graphics, Python, Algorithm Analysis and Design ,Discrete mathematics etc...

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Online classes and Offline Classes available. For Special requirement, can come and conduct the classes in your place. Science, Math and Computer Science classes for Grade 8 to 12, and all subjects for grade 4 - 7.

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19Students

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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You will learn Systematic Reasoning & Logical Thinking which is a requirement for entering Computer Science program in many universities. The book “Delftse Foundations of Computation” especially its second chapter will be the main source of our lesson, but other more in-depth books will be also covered if you want to improve even further on logical thinking. The topics in our lesson include: • Propositional Logic: Logical operators; Precedence rules; Logical equivalence; Implications in English; Exclusive or; Universal operators; Classifying propositions • Boolean Algebra: Substitution laws • Logic Circuits: Logic gates; Combining gates to create circuits; From circuits to propositions; Disjunctive Normal Form; Binary addition. • Predicate Logic: Predicates; Quantifiers; Tarski’s world and formal structures; • Deduction: Valid arguments and proofs; Proofs in predicate logic If you have any additional questions before starting a class, please feel free to ask me. I am here to assist! :)

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1Students

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.

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2Students

This comprehensive course is designed to take absolute beginners with no prior coding experience to confident Python programmers. Through hands-on projects, real-world examples, and interactive exercises, students will master Python fundamentals and apply them to build applications, automate tasks, analyze data, and even explore game development. What You’ll Learn: 🐍 Python Basics: Syntax, variables, data types, and operators Input/output, loops (for, while), and conditionals (if-else) 📚 Core Programming Concepts: Functions, modules, and error handling Lists, tuples, dictionaries, and sets 🎮 Real-World Applications: File handling (read/write files) Web scraping (intro to BeautifulSoup/Requests) Basic game development (with Pygame) 🔢 Next-Level Skills (Towards "Hero" Level): Object-Oriented Programming (OOP) – Classes & Objects Working with APIs (fetching data from the web Intro to data analysis (Pandas & Matplotlib basics) Mini-capstone project to showcase skills

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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.