Database Systems: All Concepts of Graduate Level for CS Graduates

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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.

L’automatisation informatique est devenue essentielle pour gagner du temps, optimiser les processus et réduire les erreurs humaines. Dans ce cours, vous apprendrez à automatiser des tâches courantes avec des outils comme Bash, Ansible, Terraform ou des scripts personnalisés. Nous aborderons également Hadoop, un framework open source puissant utilisé pour le traitement et l’analyse de très grandes quantités de données. Vous apprendrez les bases de l’écosystème Hadoop (HDFS, MapReduce, Hive, etc.), la configuration d’un cluster, et la manipulation des données à grande échelle. Ce cours est conçu pour les personnes souhaitant acquérir des compétences pratiques et directement applicables dans les domaines de l’IT, de la data et du développement. Vous allez apprendre à : • Écrire des scripts d’automatisation pour Windows/Linux • Gérer et planifier des tâches automatisées • Comprendre le fonctionnement d’Hadoop et de son écosystème • Traiter des données volumineuses avec MapReduce et Hive • Déployer et utiliser un cluster Hadoop local ou cloud

Dive into the world of SQL databases with this comprehensive course designed for learners of all levels. Whether you are new to databases or seeking to expand your expertise to advanced concepts like distributed systems, this course has you covered. What You can Learn: - Fundamentals of relational databases and SQL syntax. - Designing robust databases using normalization and entity relationships. - Writing complex queries, joins, and subqueries. - Database optimization techniques for performance tuning. - Implementing stored procedures, triggers, and views. - Managing transactions and ensuring data integrity. - Understanding and working with distributed database systems like Distributed PostgreSQL

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.

Introduction to Databases Learn about the importance of databases in the digital world, their role in managing and exploiting data, and the fundamental concepts of structured storage. SQL for Beginners Learn the basics of SQL: SELECT, INSERT, UPDATE, DELETE queries, joins, aggregate functions and more to effectively interact with a database. MySQL and WAMP Server Install and configure WAMP Server to create and manage MySQL databases locally. Learn how to use phpMyAdmin for easy management. DBever and SQL Server Introduction to professional database management tools: Get started with DBever and SQL Server to administer, analyze and optimize your databases. Database Management and Operation Learn best practices for database management: indexing, query optimization, data security and backup. Database Administration Understand the roles of a database administrator (DBA): user management, access rights, maintenance and performance monitoring. Practical DBMS Project Apply your knowledge to a real-world database management project, from design to deployment, optimization and administration.

Module 1: SQL Overview Outlining SQL as the cornerstone of database activity Applying the ANSI/ISO standards Describing the fundamental building blocks: tables, columns, primary keys, and foreign keys Module 2: Building the Database Schema - Creating tables and columns Building tables with CREATE TABLE Modifying table structure with ALTER TABLE Adding columns to an existing table Removing tables with DROP TABLE - Protecting data integrity with constraints Guaranteeing uniqueness with primary key constraints Enforcing integrity with foreign key constraints Imposing business rules with check constraints - Improving performance with indexes Expediting data retrieval with indexes Recommending guidelines for index creation Module 3: Manipulating Data - Modifying table contents Adding table rows with INSERT Changing row content with UPDATE Removing rows with DELETE - Applying transactions Controlling transactions with COMMIT and ROLLBACK Deploying BEGIN TRANSACTION in SQL Server Module 4: Working with the SELECT Statement - Writing Single Table queries Retrieving data with SELECT Specifying column expressions Sorting the result with ORDER BY Handling NULL values in expressions - Restricting rows with the WHERE filter Testing for equality or inequality Applying wildcard characters Avoiding NULL value pitfalls Module 5: Querying Multiple Tables - Applying the ANSI/ISO standard join syntax Matching related rows with INNER JOIN Including nonmatched rows with OUTER JOIN Creating a Cartesian product with CROSS JOIN - Combining results with set operators Stacking results with UNION Identifying matching rows with INTERSECT Utilizing EXCEPT to find nonmatching rows Module 6: Employing Functions in Data Retrieval - Processing data with row functions Conditional formatting with the CASE expression Utilizing the CASE expression to simulate IF tests Dealing with NULL values - Performing analysis with aggregate functions Summarizing data using SUM, AVG and COUNT Finding the highest/lowest values with MAX and MIN Defining the summary level with GROUP BY Applying filter conditions with HAVING Module 7: Constructing Nested Queries - Applying subqueries in filter conditions Creating correlated vs. noncorrelated subqueries Testing the existence of rows - Including subqueries in expressions Placing subqueries in the column list Creating complex expressions containing subqueries Handling subqueries that return no rows Module 8: Developing In-Line and Stored Views - Breaking down complex problems Selecting data from a query result set Using subqueries in the FROM clause - Creating views in a database Building reusable code Creating updateable vs. non-updateable views

Description: This course is a comprehensive introduction to database management, including design, administration, and integration into applications. Goals : Understand relational models and the use of the SQL language. Create and administer efficient and secure databases. Integrating foundations into modern applications. Course methods and format: Video courses: Guided practice on tools like MySQL or PostgreSQL. Flexibility: Exercises adapted to your specific projects. For who ? Students, developers or professionals wishing to master databases.

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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.

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.

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SERVICES I can offer my assistance with Data Analysis, Data Science, Quantitative Methods, Analysis, Statistical Modelling, Forecast, Regression, Coding, Python, Matlab, Excel statistical software and packages such as Stata, R and Database languages such as SQL, Oracle, MySql and other Business-related subjects (with coding and programming if you are interested in it). I understand that there are different kinds of learning methods, so as long as you can find your style and the appropriate method, I believe that you can get twice the result with half the effort. I have been told to be good at breaking down complex statistical and modelling concepts, explaining them in diagrams, and also relating them to their uses in our daily lives. I can help you to understand statistics, econometrics, linear regression, forecast modelling, statistical modelling, quantitative methods, as well as introducing you to the fast-growing field of Data Analysis and Data Science. I can teach how to use Python, Matlab, Stata, R, Sas, R, Excel, SQL, Oracle, MySql and many more. - Statistics - Machine Learning - Deep Learning - Probability - Linear Regression - Statistical Modelling - Analysis - Data Analysis/Science - Modelling - Forecasting model - Time Series Analysis - Quantitative Methods - Python - Matlab - Stata - R - Sas - Excel EXPERIENCE AND EDUCATION - PhD graduate in Finance, with 5 years of research experience and scientific contribution in the field of empirical asset pricing with focus on equity factor models, machine learning for asset pricing, regime switching models, sentiment analysis, and portfolio construction - Freelance tutor and consultant in Finance, Data Science, Python, Statistics, and Econometrics for 3 years with 1500+ hours delivered to 150+ students and customers internationally - Former financial analyst with 4 years of experience in design and realization of prototypes of several financial algorithms of a proprietary software for portfolio management, analysis, and consulting - Experienced in written and oral communication to various audiences, from academic students to financial industry leaders and professionals through reviewing, editing, teaching, consulting, and oral presentations - Former University Teaching Assistant, strong analytical background with extensive classroom and online teaching experience, MSc in Quantitative Finance, Bachelor of Science in Economics and Finance - Excellent material available including slides, videos, tutorials and reading material. Extensive experience in research methods and software including Python, Jupyter notebook, Matlab, Sas, Stata, R, SQl/Oracle and Excel. - I thoroughly enjoy helping others, as my patience and friendly nature makes it easier to be in an educational environment. - I have learnt to adapt to different needs and learning styles according to the student, in order to optimise their success in turning their weaknesses into strengths. - I'm patient, friendly and understanding. I am proficient in research and development and it’s my day to day work. I am a photography enthusiast and an insatiable learner. GREETINGS My goal is also to inspire further study that will lead to an interesting and successful career. If you need further information about myself or my services, please do not hesitate to contact me. Feel free to send me a message and I'd be happy to give you an informal consultation. Thank you for looking at my profile and hope to hear from you soon, Andrea

This course offers a complete immersion into the world of artificial intelligence, exploring the mathematical foundations through to their concrete implementation in Python. You'll discover the key principles of AI, from machine learning algorithms to statistical modeling, with a focus on modern techniques used in the field. In addition, we'll cover advanced language models, such as ChatGPT and other LLMs, to understand how they work and how to integrate them into your own projects. This course is ideal for those looking to gain practical AI skills, from theory to practice.