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Data analytics is an essential skill for students, professionals and organisations that want to make informed decisions using data. This practical class will help you develop the skills required to clean, analyse, visualise and interpret data using widely used analytical tools. Depending on your learning objectives, lessons may cover Microsoft Excel, Power Query, Power BI, SQL or Python. You can learn how to clean and transform datasets, write formulas and queries, develop data models, calculate meaningful performance indicators and design interactive dashboards. Each lesson is customised according to your current level and goals. I use clear explanations, guided exercises, realistic datasets and practical projects to help you understand both the technical steps and the business meaning behind the results. This class is suitable for beginners, university students, job seekers and working professionals. By the end of the programme, you should be able to analyse data more confidently, create professional reports and apply your skills to academic or workplace projects.

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if you've ever looked at a database and thought, "Where do I even start?"—this course is for you. I'm going to teach you SQL from the ground up, no fluff, no jargon, just the real stuff you need to get confident writing queries that actually do something useful. We'll start with the basics—how to pull data from a table—and build up to more advanced topics like joins, aggregations, subqueries, and even window functions. You’ll learn how to ask the right questions, write clean, readable queries, and solve real-world problems with data.

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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

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I'm a developer coach with over 10 years of experience in website and database development. Holding a professional license and several industry-recognized certifications, he is a MySQL expert and able to walk you through the most complex requests. As a coordinated and passionate website builder, I am able to share my knowledge and experience with over 100's of people to help achieve their development goals. Many renewable projects are experienced and able to deliver high quality results. If you are looking for a talented developer coach to help you with your MySQL demands, please feel free to contact me.”

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If you've ever looked at a database and thought, "Where do I even start?"—this course is for you. I'm going to teach you SQL from the ground up, no fluff, no jargon, just the real stuff you need to get confident writing queries that actually do something useful. We'll start with the basics—how to pull data from a table—and build up to more advanced topics like joins, aggregations, subqueries, and even window functions. You’ll learn how to ask the right questions, write clean, readable queries, and solve real-world problems with data.

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I specialize in administering and teaching Windows Server 2022 Administration Fundamentals to small, medium, and large enterprises. My goal is to keep trainees constantly challenged to learn how to set up and manage servers efficiently without overwhelming them. I cover topics such as Active Directory management, DNS and DHCP configuration, and Virtual Machine setup. After each lesson, I provide hands-on assignments to ensure full understanding and provide periodic reports to track trainees’ progress. This class is for aspiring IT administrators who want to learn how to set up and manage Windows Server 2022 effectively. The focus is on learning how to set up servers, optimize their performance, and provision virtual infrastructure for enterprises. If you are a beginner, don’t worry, all concepts are explained clearly from the beginning to ensure complete understanding. It is preferable for each student to have a laptop with the ability to run programs such as VmWare.

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Dive into the world of data visualization with Power BI. This course is perfect for those looking to create compelling and insightful reports and dashboards. Gain hands-on experience in transforming raw data into meaningful visualizations that drive informed decision-making.

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I am an IT professional having a great passion towards teaching. I have done Masters and bachelors in computer Application and programming. I completed Masters in 2007. I believe that teaching is an art and a smart teacher should understand how an individual students understand well. What is the best teaching approach that suits the individual teacher? I customise the teacing approach based on the student's need and this comes from years of experiece teaching varieties of students across different countries. My teaching methodology is a gentle approach which 100% ensures the subject matter is understood to the student - - Teach the subject matter - Practice exercises based on subject matter - Explain any doubts/queries the student may have - And revise Thanks

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Much of the world's raw data—from electronic medical records to customer transaction histories—lives in organized collections of tables called relational databases. Being able to wrangle and extract data from these databases using SQL is an essential skill within the data industry and in increasing demand. In this two-hour introduction to SQL, you'll get to know the theory and the practice through bite-sized videos and interactive exercises where you can put your new-found skills to the test. SQL is an essential language for building and maintaining relational databases, which opens the door to a range of careers in the data industry and beyond. You’ll start this course by covering data organization, tables, and best practices for database construction. The second half of this course looks at creating SQL queries for selecting data that you need from your database. You’ll have the chance to practice your querying skills before moving on to customizing and saving your results. PostgreSQL and SQL Server are two of the most popular SQL flavors. You’ll finish off this course by looking at the differences, benefits, and applications of each. By the end of the course you’ll have some hands-on experience in learning SQL and the grounding to start applying it on projects or continue your learning in a more specialized direction. Relational Databases Before writing any SQL queries, it’s important to understand the underlying data. In this chapter, we’ll discover the role of SQL in creating and querying relational databases. Using a database for a local library, we will explore database and table organization, data types and storage, and best practices for database construction. Querying Learn your first SQL keywords for selecting relevant data from database tables! After practicing querying skills in a database of books, you’ll customize query results using aliasing and save them as views so they can be shared. Finally, you’ll explore the differences between SQL flavors and databases such as PostgreSQL and SQL Server.

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As a data scientist with in-depth expertise in artificial intelligence, machine learning, deep learning, time series and data mining, I put my skills at your disposal as a data engineer specializing in Business Intelligence within a large company. I offer you comprehensive training covering the entire Business Intelligence pipeline, from data collection to visualization. During these sessions, you will learn: • The conception and design of data warehouses adapted to your specific needs. • Data models such as star schema and snowflake to optimize your data structure. • Practical use of SQL Server as well as other SQL databases to efficiently manage your data. • Advanced Extraction, Transformation and Loading (ETL) techniques with SSIS to automate processes. • Creating interactive reports and impactful dashboards with Power BI and DAX or IBM Cognos. In-depth presentations, based on solid practical experience and up-to-date theoretical knowledge, covering all aspects of the Business Intelligence pipeline. Concrete and relevant examples, taken from real use cases, to illustrate theoretical concepts and facilitate their understanding. Please feel free to contact me to discuss your specific needs and to schedule training sessions tailored to your schedule and goals. With this training, you will be ready to take full advantage of your data and make informed strategic decisions.

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Analyst-Programmer, I teach computer science and programming at all levels. My teaching method is: simple, effective and very quickly learned by the students. I take all the time necessary for the student to really understand the course. My goal is to simplify the material as much as possible during the explanation and I always use examples to facilitate understanding. I never skip topics that I don't understand because during the time the student is learning, I too am learning something new!