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General objective: To allow participants to: -Understanding how AI works -Use AI tools effectively -Applying AI in their professional field -Avoid errors and risks associated with its use -Prompt Engineering Techniques

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Python is the most widely used open source programming language for computer scientists. This language has propelled itself to the forefront of infrastructure management, data analysis and software development. Indeed, among its qualities, Python allows developers to focus on what they do rather than how they do it. It has freed developers from the constraints of form that occupied their time with older languages. Thus, developing code with Python is faster than with other languages. I'm a software engineer who likes to share what I do. I benefit by teaching and motivating people. I am used to working with people of different ages. I believe in segmentation, progress visualization, objective results and practice. the training program: Python #1: Introduction & coding first program Python #2: Variables & Operations Python #3: Conditions & Loops Python #4: Functions & Modularity Python #5: Introduction to object programming Python #6: classes & attributes Python #7: encapsulation & inheritance properties Python #8: Strings & Lists & Tuples & Dictionaries Python #9: Files

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Algorithms, Databases, Office Automation EXCEL, ACCESS. SQL, MERISE MCD / MLD, VBA, SPSS Analysis, HTML-CSS Website Development, Wix, Word Press, (Courses intended for students: ENCG / UIR / HEM / EMSI / HEC / ISTA / EST / CPGE / FSJES Economics / Faculty of Sciences / Preparation for the CNAEM - BCE competition.)

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As a data scientist with in-depth expertise in artificial intelligence, machine learning, deep learning, time series and data mining, I put my skills at your disposal as a data engineer specializing in Business Intelligence within a large company. I offer you comprehensive training covering the entire Business Intelligence pipeline, from data collection to visualization. During these sessions, you will learn: • The conception and design of data warehouses adapted to your specific needs. • Data models such as star schema and snowflake to optimize your data structure. • Practical use of SQL Server as well as other SQL databases to efficiently manage your data. • Advanced Extraction, Transformation and Loading (ETL) techniques with SSIS to automate processes. • Creating interactive reports and impactful dashboards with Power BI and DAX or IBM Cognos. In-depth presentations, based on solid practical experience and up-to-date theoretical knowledge, covering all aspects of the Business Intelligence pipeline. Concrete and relevant examples, taken from real use cases, to illustrate theoretical concepts and facilitate their understanding. Please feel free to contact me to discuss your specific needs and to schedule training sessions tailored to your schedule and goals. With this training, you will be ready to take full advantage of your data and make informed strategic decisions.

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this course contains the course, tutorials and tutorials on (C, C ++, MATLAB, PHYTON, VBA) and object-oriented programming.this course is for beginners and advanced students.the objective of this course is to learn the basics of programming in C, C ++, MATLAB, PHYTON

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20Students

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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16Students

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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9Students

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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3Students

As a Franco-Belgian management teacher, I give Excel lessons with passion! Whether remotely or face-to-face, I offer many examples and exercises to accompany you. I travel without problem throughout the region of Brussels and its surroundings, for lessons of at least 2 hours. For France, courses are only given remotely. Here are some key words that will be covered in my classes: Scenario analysis, Year, Rounding, Today, Bdnb, Bdnbval, Bdsum, Search, Column, Copy/paste in values, Copy/paste with transposition, Consolidation, Date, Datedif, Determat, Dollar, Right, Righterg, Equiv, Esterror, Estna, Frequency, Filter (simple and advanced), Format of cells, Left, Large.Value, Printing of documents, Index, Indirect, Inversemat, Day, Weekday, Line, Matrix, Max, Maxa, Max.Si, Min , Mina, Mina.If, Formatting of cells and ranges, Month, Average, Average.If, Nb, Nb.If, Nbval, Naming of cells and ranges, No, Small.value, Product, Productmat, Protection of cells, Lookup (Lookup), Lookupv (VLookup), Lookuph (HLookup), If (If), If.Not.Disp, If.Conditions, Iferror, Sum, Sumproduct, Sum.If, Sum.If.Set, Substitute , Pivot tables, Sorting, Cell locking Do not hesitate to contact me to organize your lessons according to your needs and availability. Together, we will develop your Excel skills in an efficient and personalized way.

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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.