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Practical SQL: Query & Manage Databases
IT & Software

13 September, 2025

Master SQL Basics, Data Retrieval, Advanced Queries, Joins, and Optimisation + Hands-on Exercises. SQL for Data Analysis

$89.00FREE

Practical SQL: Query & Manage Databases

Welcome to course: Practical SQL: Query & Manage Databases by MTF Institute


Unlock the Power of Data!

Ready to take control of data and gain an essential skill for today's job market? We're thrilled to announce the launch of our new course, "Practical SQL: Query & Manage Databases"!

In the age of data, proficiency in SQL is non-negotiable for anyone looking to excel in roles like data analyst, software developer, business intelligence professional, and beyond. Whether you're a complete beginner or aiming to level up your database skills, this course is designed to provide you with a solid, hands-on foundation in SQL.


What will you learn?

Our curriculum guides you from the basics to advanced techniques, ensuring you gain practical, job-ready skills:

  • Fundamentals First: Get introduced to SQL and databases, starting with basic commands to interact with data.

  • Mastering Data Retrieval: Learn to use powerful SELECT statements, filter, and sort data for valuable insights.

  • Advanced Querying: Dive into data aggregation, working with JOIN operations to combine data from multiple tables, and constructing complex queries with subqueries.

  • Data Manipulation: Gain confidence in modifying data using INSERT, UPDATE, and DELETE statements.

  • Performance Matters: Understand query optimization and indexing techniques crucial for efficient database interactions in real-world applications.

  • Exploring Advanced Features: Discover additional advanced SQL capabilities.

Through clear explanations and extensive hands-on exercises, you'll build the confidence to effectively query, manipulate, and manage databases. The course culminates in a practical final project where you'll apply your new skills to solve real-world data challenges.


By the end of this course, you will be able to:

  • Write fundamental SQL commands.

  • Retrieve, filter, and manipulate data effectively.

  • Construct complex queries using joins and subqueries.

  • Utilize aggregate functions for data analysis.

  • Modify data within databases.

  • Implement basic query optimization and indexing.

  • Solve practical data problems using SQL.


Designed for everyone:

No prior database experience is necessary! This course is perfect for aspiring data professionals, developers, and anyone eager to work effectively with data.

Don't miss this opportunity to master SQL and unlock a world of data possibilities.

Enroll now and take your first step towards becoming a data-savvy professional!


Course provided by MTF Institute of Management, Technology and Finance

MTF is the global educational and research institute with HQ at Lisbon, Portugal, focused on business & professional hybrid (on-campus and online) education at areas: Business & Administration, Science & Technology, Banking & Finance.

MTF R&D center focused on research activities at areas: Artificial Intelligence, Machine Learning, Data Science, Big Data, WEB3, Blockchain, Cryptocurrency & Digital Assets, Metaverses, Digital Transformation, Fintech, Electronic Commerce, Internet of Things.

MTF is the official partner of: IBM, Intel, Microsoft, member of the Portuguese Chamber of Commerce and Industry.

MTF is present in 217 countries and has been chosen by more than 775000 students.


Course Author:

Dr. Alex Amoroso is a seasoned professional with a rich background in academia and industry, specializing in research methodologies, strategy formulation, and product development. With a Doctorate Degree from the School of Social Sciences and Politics in Lisbon, Portugal, where she was awarded distinction and honour for her exemplary research, Alex Amoroso brings a wealth of knowledge and expertise to the table.

In addition to her doctoral studies, Ms. Amoroso has served as an invited teacher, delivering courses on to wide range of students from undergraduate level to business students of professional and executives courses. Currently, at EIMT in Zurich, Switzerland, she lectures for doctoral students, offering advanced instruction in research design and methodologies, and in MTF Institute Ms. Amoroso is leading Product Development academical domain.

In synergy between academical and business experience, Ms. Amoroso achieved high results in business career, leading R&D activities, product development, strategic development, market analysis activities in wide range of companies. She implemented the best market practices in industries from Banking and Finance, to PropTech, Consulting and Research, and Innovative Startups.

Alex Amoroso's extensive scientific production includes numerous published articles in reputable journals, as well as oral presentations and posters at international conferences. Her research findings have been presented at esteemed institutions such as the School of Political and Social Sciences and the Stressed Out Conference at UCL, among others.

With a passion for interdisciplinary collaboration and a commitment to driving positive change, Alex Amoroso is dedicated to empowering learners and professionals for usage of cutting edge methodologies for achieving of excellence in global business world.


Course Description

Unlock the power of data with our comprehensive and practical SQL course! Whether you're a complete beginner or looking to enhance your database skills, this course provides a solid foundation in SQL, the standard language for interacting with databases. Through a blend of clear theoretical explanations and extensive hands-on exercises, you'll gain the confidence and proficiency to effectively query, manipulate, and manage data.

We start with the fundamentals, introducing you to basic SQL commands and gradually progress to more advanced techniques. You'll learn how to retrieve specific information using powerful SELECT statements, filter and sort data to gain valuable insights, and manipulate data within tables. Dive into the world of advanced queries, mastering aggregate functions to summarise data and understand trends.

Discover the crucial skill of combining data from multiple tables using JOIN operations, and learn to construct sophisticated queries with subqueries and nested queries. Beyond just querying, you'll gain practical knowledge in modifying data using INSERT, UPDATE, and DELETE statements. A significant portion of the course is dedicated to optimising your SQL queries and understanding indexing techniques to ensure your database interactions are efficient and fast, crucial for real-world applications.

The course culminates in a practical final project where you can apply your newly acquired skills to solve real-world data challenges. We also include a dedicated session for final assessment preparation and provide a curated list of recommended resources to continue your SQL journey.


By the end of this course, you will be able to:

  • Write fundamental SQL commands to interact with databases.

  • Retrieve, filter, and manipulate data effectively using various SQL clauses.

  • Construct and execute complex queries using joins and subqueries.

  • Utilize aggregate functions to analyse and summarise data.

  • Modify data within SQL databases using insert, update, and delete operations.

  • Understand and implement basic query optimisation and indexing techniques.

  • Apply your SQL skills to solve practical data-related problems.


This course is designed for anyone eager to work with data, including aspiring data analysts, software developers, business intelligence professionals, and students. No prior database experience is necessary – we'll guide you every step of the way. Enrol now and take your first step towards mastering the essential skill of SQL!

Affiliate disclosure: Course Kingdom participates in affiliate programmes (including Udemy via the Cuelinks network). Some links on this page are affiliate links — if you click and enroll, we may earn a small commission at no extra cost to you. Learn more.

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