SQL Course For beginners
Bezahlter KursThis beginner-friendly SQL course provides a comprehensive introduction to relational databases and Structured Query Language (SQL), enabling learners to retrieve, manipulate, and analyze data without prior programming experience. Participants will learn core commands like SELECT, INSERT, UPDATE, and DELETE to manage databases effectively
Dozent: Eslam Abdelnaby
Track: Web Development
Wenn Sie diesen Kurs lernen oder ansehen möchten, müssen Sie zuerst den Zahlungsvorgang abschließen.
Zum Bezahlen anmeldenKursinhalt
Introduction to SQL
Introduction to SQL And How To learn it
Select (SQL _ MYSQL)
Select (SQL _ MYSQL) In Database
Roadmap
A beginner's SQL roadmap typically spans three main phases, starting with basic data retrieval and moving into complex data manipulation and database design.Phase 1: SQL Fundamentals (Weeks 1-2)The first goal is to understand how relational databases work and learn the basic syntax to view data.Database Basics: Understand tables, rows, columns, and data types (numbers, strings, dates).The SELECT Statement: Learn to retrieve data using SELECT and FROM.Filtering and Sorting: Use WHERE to filter results and ORDER BY to sort them.Comparison and Logical Operators: Master AND, OR, NOT, IN, BETWEEN, and LIKE for precise filtering.Limiting Results: Use LIMIT or TOP to view only a specific number of rows.Phase 2: Data Aggregation and Relationships (Weeks 3-5)This phase focuses on summarizing data and connecting information from multiple tables.Aggregate Functions: Learn to calculate totals using SUM(), AVG(), COUNT(), MIN(), and MAX().Grouping Data: Use GROUP BY to organize data by categories and HAVING to filter these grouped results.SQL Joins: Master combining data from different tables using INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL OUTER JOIN.Subqueries: Learn how to use a query inside another query to perform more complex analysis.Phase 3: Data Management and Advanced Concepts (Weeks 6+)At this stage, you move from just reading data to creating and optimizing it.DML (Data Manipulation): Learn to modify data using INSERT, UPDATE, and DELETE.DDL (Data Definition): Understand how to build and change database structures with CREATE TABLE, ALTER TABLE, and DROP TABLE.Database Constraints: Learn about PRIMARY KEY, FOREIGN KEY, NOT NULL, and UNIQUE to maintain data integrity.Intro to Optimization: Understand basic indexing and how it improves query speed.Practice ResourcesExperts recommend practicing with real datasets rather than just following tutorials.Interactive Sites: SQLBolt, SQLZoo, and Mode Analytics offer hands-on practice.Challenges: Use LeetCode, HackerRank, or Stratascratch for coding problems.Real Projects: Download datasets from Kaggle to build projects like a Sales Analysis or Library Management System