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In this course, you will learn how to efficiently package, containerize, and deploy Python applications and microservices using Docker. The course covers fundamental Docker concepts, best practices for structuring Python projects, and strategies for building scalable and portable applications. Through hands-on projects, you will gain practical experience in creating Docker images, managing containers, and orchestrating microservices, enabling seamless deployment across different environments. Contact me if you want to have more information about the course!

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>>> What is Excel? Microsoft Excel is a spreadsheet that allows you to do calculations, analyze data with formulas, tables and graphs. >>> What about pedagogy? I favor the learning by doing method >>> Who am I? For information, I am consultant / trainer and certified Microsoft Excel Expert. I have considerable experience in training. Indeed, I have trained hundreds of people whether in groups, or in private. >>> Location of the training? The place is to be agreed with the apprentice. Training can also be organized remotely (Teams, Zoom, Google Meet, Skype...) >>> Content of the training I can adapt to your level and your needs in terms of content. Here is a non-exhaustive example of the subjects taught. **** Excel Training (Beginner and Intermediate) **** Part I: Basic Concepts What is Excel? Discover the Excel window. Workbooks, spreadsheets, cells. Use the toolbars, the menu, the help. Part II: Working in a spreadsheet Identify basic concepts Manage cells: capture and copy Set up formulas. Master the modes of referencing cells: absolute, relative. Insert, delete rows or columns, move fields. Part III: Formatting a spreadsheet Format cells: present numbers, text, titles. Define conditional formatting. Print the entire sheet or part. Build the layout: titles, pagination Part IV: Workbook Management Save, edit a workbook. Divide your data over several sheets. Insert, delete, move, copy a sheet. Edit multiple sheets simultaneously Part V: Data Analysis Using Functions Calculate percentages, establish ratios. Perform statistics: AVERAGE, MAX, MIN Apply conditions: SI. Use functions: NOW, TODAY. Consolidate multiple sheets of a workbook with the SUM function. Part VI: Linking spreadsheets Transfer data from one table to another Copy / paste with link. Create summary tables. Part VII: Illustrate with graphics Create a chart from a table Change the type: histogram, curve, sector. Add or delete a series. **** Excel Training (Advanced) **** Part I: Configure Excel Options Set up Excel options. Customize the interface. Part II: Gaining time to present his paintings Define styles, use themes. Define conditional formats. Insert Sparklines charts. Part III: Creating simple and complex calculation formulas Master the various modes of referencing: relative, absolute, mixed. Name cells. Set up simple and complex conditions: IF, OR, AND. Calculate statistics: NBVAL, NB, NB.SI. Use mathematical functions: Sum and SUM. Retrieve data with search functions: VLOOKUP Calculate dates, times: DATE(), DAY() and MONTH() ... Manipulate text: CAPITAL, MINISCULE and CONCATENATE. Protect formulas, sheets or binders. Part IV: Consolidation of data Link multiple cells in a workbook. Manage connections between workbooks. Consolidate tables in a workbook. Consolidate data from multiple workbooks. Part V: Exploiting Data Lists Tris multicriteria. Custom sorting: Numeric, Textual and Chronological. Extract data: advanced filters. Delete duplicates. Part VI: Implementing Pivot Tables / Charts Create charts / pivot tables Group the information by period and by slice. Filter and sort Segment filters Show / hide data. Add ratios and percentages.

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Hello everyone ! Use 2 fingers to type a document or something else? this keystroke will consume you a lot of time! The typing course that I propose will allow you to acquire a certain speed of typing without looking at the keyboard, because your fingers will recognize, by default, their places on the keyboard. Do not waste time, learn to type quickly for your use!

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A 34-year-old university graduate, business engineer, with 12 years of professional experience, offers her teaching services. Lessons (1 hour online only) - 1.5 or 2 hours depending on the subject/level/location Educational and organized teacher with excellent revision and organizational techniques Microsoft Office - Excel/Word/PowerPoint - email - typing - ... Educational and patient with a good methodology adapted to each student 97% success rate with regular monitoring Feel free to contact me for more information! See you soon

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Having graduated in management and finance I offer courses on Everything related to qualitative and quantitative statistics. If you want inductive statistics. The concepts of economics and management (management) management accounting (inventory management) mathematics. IT

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I have been a doctoral student at UCLouvain since 2018 in climate sciences. I therefore offer private lessons in everything related to science and math. This provides assistance in passing an exam but also a university course. I would be happy to help you as best I can.

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19Students

Want to learn Revit and AutoCAD for engineering and BIM projects? This course is designed for beginners, university students, and aspiring engineers who want to develop practical skills in electrical design, BIM workflows, and technical drafting. No previous experience is required. Students can also receive help with: - university assignments - BIM and Revit projects - technical drawings - portfolio development - internship preparation Lessons are adapted to the student’s level and learning goals.

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Objective: To understand AI without fear, to use it to simplify one's life, to know how to identify digital traps, and to use Word, Excel, etc. without difficulty. 1: Demystifying AI (What exactly is it?) AI is not a movie robot: Difference between fiction and reality. How it works (simply): The image of the "giant library": AI has read billions of books and uses them to predict the continuation of a sentence or create an image. Where is it already present? Spell checkers, Netflix/YouTube suggestions, GPS, and voice assistants (Siri/Alexa). 2: Using AI to make life easier Conversing with AI (ChatGPT, Claude, Gemini): Ask him to write an administrative email or a complex letter. Summarize a long newspaper article or document. Plan a travel itinerary or find recipe ideas with what's left in the fridge. AI for creativity and memory: Generate images to illustrate a birthday card (Midjourney, DALL-E). Using AI to restore or colorize old family photos. 3: Learning to "talk" to AI (The Art of the Prompt) The context method: Why "Give me a cake recipe" is less effective than "I am allergic to gluten and I am hosting 4 people, give me a simple chocolate cake recipe". The expert's role: Learning to tell AI "Act like a travel guide" or "Act like an expert gardener". 4: Precautions and Critical Thinking (The Survival Guide) "Hallucinations": Understand that AI can make false claims with complete certainty (never take medical or legal advice from AI without verification). Privacy protection: Never give sensitive data (social security number, passwords, bank details) to an AI. Knowing that everything we write to the AI is potentially used to train it. Spotting "Deepfakes": How to recognize a doctored image or video (details on the hands, strange reflections, slightly metallic voice). Verify the information: the golden rule of cross-referencing sources. 5: Ethics and Impacts (To go further) Copyright: Who owns an image created by AI? The environmental impact: The water and energy consumption of AI servers. The future: Will AI replace us or assist us?

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This course is designed for students and professionals who want to learn how to analyze data using the R programming language. You will start with the basics of R, including variables, data types, and simple functions, and then move on to real-world data analysis skills such as data cleaning, visualization, and basic statistics. By the end of the course, you will be able to work with datasets, create clear and professional graphs, and perform meaningful data analysis for projects, studies, or work.

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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.