Professional Certificate in SQL and SQL for Data Analysis
About this course
Welcome to Program: Professional Certificate in SQL and SQL for Data Analysis by MTF InstituteCourse 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 FeaturesWhat 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 systemsWhy 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 devicesCourse AuthorDr. Alex Amoroso, PhDLead UX & Product Researcher | Head of School (MTF)Dr. Alex Amoroso is a Senior UX and Product Researcher with over 10 years
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What you'll learn
- basic SQL commands
- data retrieval and manipulation
- advanced SQL queries
- working with joins
- subqueries and nested queries
- data modification in SQL
- optimizing queries
Course objectives
- learn to create and modify databases
- analyze customer behavior and optimize marketing
- track financial transactions and generate reports
- extract insights from large datasets
- streamline business operations through data
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