Welcome to Program: Professional Certificate in SQL and SQL for Data Analysis by MTF Institute

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 215 countries and has been chosen by more than 660 000 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 overview

● Introduction to SQL and SQLite

● Basic SQL Commands – The Foundation

● Retrieving and Manipulating Data

● Advanced Queries and Data Aggregation

● Working with Joins

● Subqueries and Nested Queries

● Modifying Data in SQL

● Optimizing and Indexing Your Queries

● Advanced SQL Features

What is SQL

● SQL stands for Structured Query Language

● It’s a domain-specific language for managing relational databases

● SQL is used to:

○ Create and modify databases

○ Query data

○ Insert, update, and delete records

● Examples of databases: MySQL, PostgreSQL, Oracle, SQLite

● SQL is universal across relational database systems

Why SQL is Important for Business

● Marketing: SQL helps analyse customer behaviours and optimise campaigns.

● Finance: SQL is essential for tracking financial transactions and generating reports.

● Data Analytics: Extracts valuable business insights from large datasets.

● Operations: SQL can help streamline and automate workflows.

● Data-driven Decision Making: Businesses can make more informed decisions by analysing their data with SQL.

What is SQLite

● SQLite is a self-contained, serverless SQL database engine

● Open-source and free to use

● Designed for embedded database applications

● Easy to install and use

● Ideal for development, testing, and small-scale applications

● SQLite works on multiple platforms: Windows, Mac, Linux, and mobile devices

Who this course is for:

• No special requirements. A course for anyone who wants to build career in business and Data Analysis