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8 private teachers in Berrechid

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Brahim - Berrechid126 QAR
126 QARIntroduction to Relational Database and SQL Language by practise
Trusted teacher: 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
Mysql · Oracle database · Microsoft sql server
Badr Eddine - Berrechid103 QAR
103 QARDESCRIPTIVE/INFERENTIAL STATISTICS - FINANCIAL MATHEMATHICS - ALGEBRA - ANALYSIS
Trusted teacher: This comprehensive support course gives you a solid foundation in four essential mathematical areas: descriptive and inferential statistics, financial mathematics, algebra and analysis. Whether you are a student looking to strengthen your math skills for academic success or a professional looking to improve your quantitative abilities, this course is designed for you. Course content : Of course, here is a description for a support course that encompasses the areas of descriptive and inferential statistics, financial mathematics, algebra and analysis: Course title: Support in Statistics, Financial Mathematics, Algebra and Analysis Description: This comprehensive support course gives you a solid foundation in four essential mathematical areas: descriptive and inferential statistics, financial mathematics, algebra and analysis. Whether you are a student looking to strengthen your math skills for academic success or a professional looking to improve your quantitative abilities, this course is designed for you. Course content : Descriptive and Inferential Statistics: Learn to analyze and interpret statistical data. Master basic concepts such as mean, median, standard deviation and correlation. Explore statistical inference methods to make informed decisions. Financial mathematics : Understand the fundamentals of financial mathematics, including the time value of money, interest rates, and cash flow. Learn how to calculate financial indicators such as net present value (NPV) and internal rate of return (IRR). Explore key concepts in investing and financial management. Algebra: Strengthen your algebra skills, including solving equations, factoring, and manipulating algebraic expressions. Discuss advanced concepts such as matrices, determinants, and systems of linear equations. Analysis : Dive into mathematical analysis concepts including derivation, integration, and limit. Understand the concept of continuity and explore functions, sequences and series. Teaching methodology: This support course is designed to be interactive and tailored to your specific needs. Sessions include detailed explanations, practical examples, exercises, and case studies to ensure your understanding and mastery of the topics covered. The goal is to help you develop strong math skills and prepare you for academic or professional success. Target audience : Students of all academic levels, from middle school to university. Professionals looking to improve their math skills for their career. In summary, this support course combines a variety of essential mathematics areas to help you develop a deep understanding of concepts, problem-solving skills, and mathematical tools needed to succeed in your studies or career. Join us to boost your math skills today!
Math
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