Computer Sciences for college students database specialist

Master Python with Personalized Courses Discover the art of programming with Python courses tailor-made to meet your specific needs. Whether you are a beginner, intermediate or professional, my lessons are suitable for all levels. Why Choose My Courses? Personalized Teaching Approach: Each course is tailored to your skill level and individual goals. Practical Experience: Learn by doing with real-world projects that build your understanding and skills. Ongoing Support: Get unlimited email support for any questions you have between sessions. As a Python expert, I have a passion for teaching and sharing my knowledge. My goal is to guide you effectively in your learning journey. Book Your First Lesson: Start your journey to Python mastery now by booking your first lesson. Whether you aspire to enter the development field or hone your existing skills, these courses are designed for you.

This course is tailored for IGCSE Computer Science and ICT students who want to master all the key topics in their curriculum. With a focus on practical programming skills, theoretical computer science concepts, and hands-on problem-solving, this class will guide you through the essential topics covered in the IGCSE syllabus. Learn the fundamentals of data representation, hardware and software, databases, and Boolean logic, and then build on those concepts with programming and algorithm design. Gain a deep understanding of the inner workings of computers and their applications in real-world scenarios. By the end of this course, you will have a solid understanding of key computer science concepts and the practical skills to succeed in your IGCSE exams and beyond. What You’ll Learn: Data Representation: Learn how computers represent and process data, including binary, hexadecimal, and conversions between number systems. Data Transmission: Understand how data is transmitted over networks, focusing on packet switching, USB, and data packets. Hardware & Software: Gain a foundational understanding of computer hardware components and the role of software in running programs. Boolean Logic: Explore logic gates, truth tables, and Boolean expressions, and apply them to solve complex problems. Algorithm Design: Learn to design algorithms and solve problems using effective computational methods. Programming: Master the basics of programming with hands-on coding in Python, C++, and C#. Databases: Understand database structures, SQL queries, and primary keys. Build single-table databases and learn data management techniques.

Hello, I offer my services in IT and telecommunications: - introductory courses in the use of office software, specialization sessions on request. - hardware and software troubleshooting, installation of new software. - information session on new technologies (AI, crypto, regulation, information security, others). Please contact me privately for details. See you soon.

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

EXCEL POWER POINT WORD and ACCESS are inevitable software when working with a computer. I will introduce you to this software with exercises to do by yourself, exercises accompanied by courses appropriate to your requests.

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.

I offer personalized courses that cover a wide range of topics, from the basics of relational database management to advanced data manipulation using query languages such as SQL and tools such as DBSM, MySQL, and PostgreSQL. My courses are tailored to the needs and learning styles of each student, and I am committed to helping my students achieve their individual learning goals. Whether you are a beginner or looking to improve your skills, I can help you develop your relational database management skills and take your expertise in this field to the next level. I am excited to guide you through the world of relational database management and help you master the skills necessary to succeed in this field. Please do not hesitate to contact me for more information about my services and how I can help you achieve your relational database management goals.

Experienced teacher in science and doctor in psychology and cognitive neurosciences graduated from the University of Strasbourg (holder of a master 2 in research in Biology and a professional master 2 in scientific communication), I offer private lessons in psychology (cognitive , social, developmental psychology, neuropsychology etc.), neurosciences as well as in statistics (theoretical and applied to experimental protocols) with a personalized methodology according to the needs and potentialities of each student. Thanks to a rigorous pedagogical approach, specific and adapted to each request, I offer effective methodological assistance (references available) to meet the expectations of the students and to achieve or even exceed the objectives set. My courses also include a coaching method to optimize the learning and training necessary to pass university exams in psychology, neuroscience and statistics (as well as your research dissertations and oral defenses with or without PowerPoint support). My courses are aimed at students (in psychology, neurosciences, medicine, etc.) wishing to optimize their performance and marks in exams and competitions. Schools, Universities and teaching institutes: Universities of Strasbourg and Paris 8, CNRS, Ecole Polytechnique, ESSEC Business School, ISTH, IONIS Education Group, EEEA, Institut Tocqueville etc.

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.

Using a computer and these applications can be complicated for some and I therefore offer training to those who need it. This training includes basic and advanced use of Windows computers and/or Mac OS (Apple) multiple applications such as the MS-Office suite (Word, Powerpoint, Excel etc.), Teams, Outlook etc... Being a graduate with more than 20 years of experience at different levels in the field, it is possible to approach different levels of complexity from beginner to expert in Microsoft/Windows and/or Apple/MacOS/IOS environments. Do not hesitate to contact me and I will be happy to answer your questions. David

You are a highschool student? You have a baccalaureate? You need help with Python (Algorithmic Programming). I am here to teach you ! I am certified from Python Institute (PCAP: Certified Associate in Python Programming) and I work with Python for more than 5 years. I am also a teacher and my students love the way I teach with (simple, clear and always funny)

_*IMPORTANT*_ It will depend on how fast you learn, but you should allow at least 3 hours for a quick start. Here is the proposed program: I) What is SAP? * Introduction to SAP (ECC) * The main functions of SAP * SAP architecture * Structure and organizational data * Overview of SAP functional modules (FI, SD, MM, PP etc.) II) SAP : Getting Started * Navigating the SAP system * Logging in and out * Presentation of the home screen * Organization of SAP screen (fields, tabs, tables...) * Use of the data search functions * How to navigate in SAP * Transaction system * Examples of flows

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.

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.