Trusted teacher

I am a data expert, and I offer you a complete 8-hour training course in business intelligence (Data analyst). The training will be organized as follows: - Courses (summary slides) to master the life cycle of a business intelligence project (ETL, data integration, modeling, reporting) - Theoretical exercises on modeling business intelligence problems (star diagram, snowflake diagram). - practical case study using SQL server tools: SSIS, SSAS, SSRS - reports with QlikView

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

Trusted teacher

Master Microsoft Power BI – From Beginner to Advanced Data Analytics Unlock the power of data with Microsoft Power BI and learn how to transform raw information into meaningful insights and interactive dashboards. Whether you are a complete beginner, a university student, or a working professional looking to improve your analytical skills, this course will equip you with the practical knowledge needed to analyse data with confidence. As an experienced university lecturer and business analytics tutor, I provide hands-on, project-based lessons that focus on real-world applications rather than theory alone. Every session is tailored to your experience level and learning objectives. What you will learn Introduction to Microsoft Power BI Desktop Connecting to multiple data sources (Excel, CSV, SQL databases, SharePoint, and online services) Data cleaning and transformation using Power Query Data modelling and relationships Creating interactive reports and professional dashboards DAX (Data Analysis Expressions) fundamentals and advanced calculations Charts, maps, KPIs, slicers, and custom visualisations Drill-through, bookmarks, and report navigation Publishing reports to the Power BI Service Sharing dashboards and collaborating securely Best practices for business intelligence and data storytelling Why choose this course? Learn through practical, real-world business scenarios. Build professional dashboards from scratch. Receive personalised guidance based on your goals and experience. Develop skills that are highly valued by employers across finance, healthcare, business, marketing, operations, and data analytics. Improve your confidence in analysing, visualising, and presenting data effectively. Who is this course for? Beginners with no previous Power BI experience. University and college students. Business professionals and managers. Finance, accounting, HR, marketing, and operations professionals. Data analysts and aspiring Business Intelligence (BI) professionals. Anyone looking to develop in-demand data analytics skills. Lesson Format Lessons are available online and combine guided instruction, hands-on exercises, practical projects, and continuous feedback. By the end of the course, you will be able to create professional dashboards, automate reporting processes, and make data-driven decisions with confidence. Whether you are preparing for a new career, enhancing your professional skills, or working on a university or business project, this course will give you the practical Power BI expertise needed to succeed.

Trusted teacher

Oracle RDBMS architecture, Oracle engine, instances, schemas, roles, privileges, users, resources, quotas, tablespaces, segments, redo logs, archive log, tables, partitions, indexes, constraints, views, materialized views, job queues, virtual data base , distributed data base, data guard, rman, compression & encryption, data types, triggers, special administration packages, PL/Sql, data pump, import/export, Sqlldr, external tables, dynamic Sql, V$ views, Enterprise manager, Sql Developer, directories, Sql tuning, execution plan, tkprof, LOB management, XML & Json drivers, dynamic Sql, Data base modeling, Star schema, Snowflake schema, integrity checks, Data quality, Data versioning.

Trusted teacher

Teaching all computer and programming subjects Follow-up of university students in the UAE In computer subjects, programming, IT and computer science Java - C++ - C - C# - Visual basic - Matlab - Python ICDL - Oracle - SQL Java teacher - Python teacher - Office teacher - Database teacher - Information systems teacher Teaching web page design HTML - Java Script Teaching office group Word - Power point - Excel - Access - outlook Teaching all programming languages with years of experience All universities and all grades To get the highest score in an easy and simple way Abu Dhabi University, Al Ain University, Emirates University, College of Technology, Ajman University, University of Sharjah, Ras Al Khaimah University, Dubai University College of Technology - Higher College of Technology Computer and programming teacher computer teacher in UAE Computer teacher in Sharjah, Abu Dhabi, Al Ain, Ajman and Dubai java programming teacher python programming teacher sql database tutor ICDL Instructor and Trainer Explanation of Microsoft office suite Follow-up of all computer, programming, information systems and IT subjects at all stages of the university

Trusted teacher

Learn about: - Normalization - Relation data model and its nested relations - SQL Language, scripts and others - Dynamic SQL - Security and User authorization - Object oriented data model - Functional dependencies - Different type of data model, such as Datalog