SQL Course: Go From Fresher To Professional

Master SQL to Unlock Careers in Data Engineering, Data Analysis, Data Science and other Data Careers

Created by: E-Courses Library
World Of Courses

What Will I Learn?

• Projects: Hands-on projects designed to challenge you to create optimized and efficient queries.
• Coding Exercises: Practice writing and optimizing queries, using commands, clauses, and techniques learned throughout the course.
• Database Objects: Create and manage databases, tables, views, and indexes to organize data and optimize performance in relational databases.
• Commands: Insert, Select, Update, Delete, Grant, and Transaction to manage, query, and control data in databases.
• Clauses: WHERE, ORDER BY, GROUP BY, HAVING, and WITH (CTEs) to filter, sort, group, and manage complex queries.
• Datatypes: Int, Float, Varchar, Date, Time, DateTime, Blob to define and store data in tables.
• Predefined Functions: COUNT, SUM, AVG, MIN, MAX, IFNULL, COALESCE for data manipulation and querying.
• Operators: Arithmetic, Comparison and Logical operators to perform calculations and make logical comparisons in SQL queries.
• Constraints: CHECK, NOT NULL, DEFAULT, and AUTO_INCREMENT to ensure data validity and automate data management in tables.
• Keys: PRIMARY KEY, FOREIGN KEY, UNIQUE, Composite Key, Candidate Key and Alternate Key to establish relationships between tables.
• Alias: Rename columns and tables, making queries more readable and results easier to understand.
• Joins: INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL JOIN, CROSS JOIN, SELF JOIN, UNION and UNION ALL to combine and retrieve related data from multiple tables.
• Wild Cards: Pattern matching with wildcards ( % and _ ) in the LIKE operator to search for specific patterns within data.
• Sub Queries: Operators like ANY, ALL, SOME, EXISTS, and NOT EXISTS, to perform nested queries and refine data retrieval.
• Injection: Security vulnerability, and methods to protect against it to ensure secure database operations.
• Master SQL: Follow best practices, writing efficient queries, and using advanced techniques to solve complex analytical problems with business insights.
• Practice Tests: Timed practice tests with questions of all difficulty levels to simulate exam conditions and build confidence.
• Quizzes: Engaging quizzes designed to test your knowledge and reinforce what you've learned.
• Assignments: Assignments helps you to get clarity on concepts and improves applying your learning on problems.
• E-Files: Included downloadable SQL files and theory concept files that are used in the course as a handy reference.
• Career Preparation: Prepare for roles such as SQL Developer, Business Analyst, Data Analyst, Data Engineer, Data Scientist, ETL Developer, and Data Architect.

Requirements

• A personal computer (Windows, macOS, or Linux) with internet access to download and install necessary software, files and to practice coding exercises.
• No prior experience with SQL is required – we’ll teach you everything from the scratch.
• An eagerness to learn new concepts, experiment with code, solve problems and develop projects.
• Patience, Focus and Consistency are required.
• Energy and Happiness are highly required.

Target audience

• Students and Recent Graduates: College students or recent graduates in computer science, information technology, business, or related fields who want to add SQL proficiency to their skill set.
• Beginners in Data Science and Analytics: Individuals who are new to the world of data and want to build a strong foundation in SQL to kickstart their careers in data science, analytics, or business intelligence.
• Software Developers and IT Professionals: Developers or IT professionals looking to deepen their understanding of databases and improve their ability to interact with data within their applications.
• Aspiring Data Professionals: Those who are pursuing careers as data analysts, data engineers, database administrators, or data scientists and need to develop or enhance their SQL skills.
• Business Professionals: Business analysts, project managers, or marketing professionals who want to gain insights from data and improve their decision-making capabilities by learning how to query and analyze databases.
• Anyone Interested in Data: Individuals from any background who are curious about data, eager to learn SQL, and looking to make informed decisions based on data analysis.