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Do not deal with the manual with terms of reference statements and basic documents that cannot be obtained in order to avoid the MongoDB problem. Please include the connection to one of the MongoDB données base, comment on simple CRUD operations and sujets clés que l'agrégation, l'indexation, la mode des données et les Transaction. 1- Install MongoDB 2- Implement MongoDB 3- Use of documents and collectibles 4 - Leadership Committee 5- Execute CRUD commands (create, read, update, delete) avec mongo shell 6- Type the register in a MongoDB database 7- Reset the base to remonter specific documents depuis mongo shell. 8- Lagrégation 9- Indexing 10- Amending institutions and transactions

I am a freelancer who graduated from the University of Westminster, where I began my journey into programming. During my studies, I started applying programming skills to solve physical and mathematical problems. Since then, I’ve developed a passion for continuous learning and have expanded my expertise in data implementation and software development. For the past 16 years, I have been offering private programming lessons, helping students of all ages and backgrounds, from beginners to advanced learners. Whether you're a student looking to build a project portfolio, prepare for an exam, or a professional aiming to learn Python through practical applications, I can help you reach your goals. What I Offer: Learn Python by building projects: From the basics to more advanced concepts, you will learn programming through hands-on experience, working on real-world projects that solidify your understanding. Customized lessons: I tailor each lesson to your learning style and needs, whether you're just starting out or looking to deepen your skills. Project support: Whether you're working on a portfolio, completing a boot camp project, or preparing for an exam, I offer guidance and assistance to help you succeed. Step-by-step approach: Before each lesson, you'll receive study materials and exercises designed to help you grasp the concepts we’ll cover. Afterward, you'll receive homework to reinforce what you've learned. Flexible online lessons: Learn from the comfort of your home with flexible scheduling. I currently work as a freelancer, collaborating with companies, startups, and schools to deliver online programming classes. If you’re eager to learn Python in a practical, engaging way, or if you have any questions, feel free to send me a message - I will surely reply. Thank you, Alex

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In this course you will learn how to transform your data into useful information for decision making through visualizations. You will also create your data model. Cake Graphics. Bar Charts. Dispersion. Measurements. DAX expressions. At the end of the course you will have created your first report in Power BI Desktop.

Welcome to "AI and Data Science" – a comprehensive, customizable course designed for learners at any level, from beginners to advanced professionals. Whether you're just starting your journey into the world of artificial intelligence and data science or looking to enhance your existing skills, this course will provide you with the knowledge and practical tools you need to excel. What You'll Learn: Fundamentals of Data Science: Understanding data collection, cleaning, and preprocessing; learning to analyze and visualize data using tools like Python, Pandas, and Matplotlib. Introduction to AI and Machine Learning: Explore basic concepts of AI, supervised and unsupervised learning, and popular algorithms (e.g., regression, classification, clustering) with hands-on coding exercises. Advanced AI Techniques: Delve into deep learning, neural networks, and advanced algorithms like decision trees, SVMs, and reinforcement learning. Practical Projects: Work on real-world projects such as predictive modeling, sentiment analysis, and building AI applications using Python libraries like TensorFlow and PyTorch. Storytelling with Data: Develop skills to communicate insights effectively, using data visualization tools and storytelling techniques to create compelling narratives from data. Database Management: Learn how to work with databases (SQL and NoSQL) and manage data efficiently for large-scale applications. What to Prepare: Basic Computer Skills: No prior programming experience is required for beginners, but familiarity with basic computer operations is recommended. Software Setup: Students will need to install software like Python, Jupyter Notebooks, and data science libraries (instructions will be provided during the course). Curiosity and Dedication: This course encourages a hands-on approach, so students should come ready to code, experiment, and learn through practical examples. What to Expect: Customized Learning Experience: Lessons are tailored based on the student’s level and goals, ensuring a personalized approach that aligns with your learning pace and interests. Supportive Environment: Receive one-on-one mentoring and support to help you overcome challenges and master complex topics. Skills You Can Apply Immediately: Gain practical, job-ready skills that are in high demand across industries, including AI, finance, marketing, and tech.

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This course provides a comprehensive introduction to the core principles of Computer Science, with a focus on practical applications in Computer Programming and Database Management. Students will explore the fundamentals of programming, learning how to write, analyze, and debug code using modern programming languages. The course also delves into database concepts, covering data storage, retrieval, and management techniques. By the end of the class, students will be equipped with the skills necessary to design efficient programs and manage databases effectively, preparing them for more advanced studies in computer science and related fields.

This class covers statistics and statistical methods for data analysis which cuts across all industry and disciplines. Sample topics, Statistical calculations Statistical methods Statistical analysis Quantitative analysis Quantitative analysis techniques Non Quantitative data analysis Research methods Research methods paper section Mathematical analysis Statistical software and spreadsheets like Rsutdio, Excel, SPSS, and many others. and any statistical topic requests by students

I am a Ph.D. student at the University of Luxembourg. For the past 4 years, I taught the University: statistics and probability theory to first-year students, and economics to 3th-year students. I really enjoy teaching. I am looking forward to helping students when they need reinforcement on different subjects, or anyone interested in learning the following topics: For maths: System of equations, derivatives, integrals, type of equations, etc. For statistics: Probability theory, descriptive statistics, regression analysis, multivariate analysis, hypothesis testing, and methods for causal inference. For young professionals: I have extensive experience in data analysis, data management, and statistical modeling. My class mixes both theoretical and practical parts using financial data as examples. If you are interested, just write me a message telling me what topics are you interested in learning.

Discover the Magic of Airtable: A Beginner's Guide to Database Bliss! Hey there! Are you intrigued by the idea of organising your life or business with a database tool but feel overwhelmed by the tech jargon? Don't worry, I've got your back! Join me for a laid-back class where we'll demystify the world of databases, starting with everyone's favourite: Airtable the no-coding needed database platform. I can show you the ropes of Airtable no need for fancy degrees or prior experience - just bring your curiosity and a willingness to learn! What's on the agenda, you ask? Well, we'll kick things off by getting cozy with the Airtable interface, so you can navigate like a pro in no time. Then, it's time to roll up our sleeves and dive into the juicy stuff: creating your own custom databases! Potential uses of Airtable bespoke creation: - Personal Task Management - Event Planning - Inventory Management - Content Calendar - Customer Relationship Management (CRM) - Project Management - Habit Tracking - Budgeting and Expense Tracking But hey, don't sweat it if you're not sure what kind of database you need. Whether you're a freelancer, small business owner, or just someone trying to keep track of your life admin, I'll help you brainstorm ideas and tailor your database to fit your unique needs. From managing contacts to tracking projects or even organizing your collection of cat memes (we don't judge!), Airtable's got you. And the best part? I can show you how to do it all without pulling your hair out in frustration! So, if you're ready to kick your spreadsheet game up a notch and embrace the zen of organized data, grab a spot with a class and let's get this database party started!

Je propose des cours complets en Power BI, analyse de données, science des données et algorithmes d'apprentissage profond, adaptés à tous les niveaux d'expérience. Mon approche pédagogique se concentre sur l'acquisition de compétences pratiques, vous permettant d'appliquer directement ce que vous apprenez dans des projets réels. Dans le cadre de mes cours de gestion de données, vous apprendrez à transformer vos données en visualisations interactives et informatives, en maîtrisant les techniques de création de tableaux de bord, de rapports et d'analyses visuelles. Vous découvrirez également comment connecter différentes sources de données et optimiser vos modèles pour des insights pertinents. En ce qui concerne l’analyse de données, vous développerez une compréhension approfondie des méthodes statistiques et analytiques, vous permettant de tirer des conclusions significatives à partir de vos données. Vous serez initié aux outils et aux techniques de manipulation des données, y compris l'utilisation de langages de programmation tels que Python, R, PowerBI ou TABLEAU. Dans le domaine de la science des données, nous explorerons les étapes clés du processus de data science, de la collecte et le nettoyage des données à la modélisation et à la validation des résultats. Vous serez également introduit aux algorithmes d’apprentissage profond, apprenant à construire et à entraîner des modèles neuronaux pour des applications variées, allant de la reconnaissance d'image à la prévision. Chaque cours est structuré autour de projets pratiques et de cas d’étude, afin de vous préparer à relever des défis réels en matière d’analyse et d’interprétation des données. Si vous êtes prêt à développer vos compétences en Power BI, analyse de données, science des données et apprentissage profond.

Are you preparing for your college SQL exams and want to excel in database querying? Join my SQL Exam Preparation course, where you’ll get expert guidance from an experienced tutor with a strong background in databases. (mainly PostgreSQL and mySQL) With 2 years of SQL experience, top scores in exams at KdG University, and over a year of tutoring, I’ll help you master SELECT statements and beyond. What you’ll learn: - Basics of SQL: tables, columns, rows - Writing SELECT queries - Filtering data using WHERE, LIKE, and logical operators - Using ORDER BY and LIMIT for sorting and limiting results - Aggregate functions: COUNT, SUM, AVG, MIN, MAX - GROUP BY and HAVING clauses for data aggregation - Joins: INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL JOIN - Subqueries and nested SELECT statements Who is this for? This course is ideal for anyone looking to strengthen their SQL skills, whether you're a beginner or preparing for college-level exams. We’ll cover core SELECT query concepts, ensuring you have the confidence to work with real-world data and ace your tests. Looking for something more advanced? Check out my other course on CREATE and INSERT statements.

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