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SQL Course: Go From Fresher To Professional
Published 8/2024
Duration: dt3h34m | Video: .MP4, 1920x1080 30 fps | Audio: AAC, 44.1 kHz, 2ch | 8.59 GB
Genre: eLearning | Language: English[/center]
Master SQL to Unlock Careers in Data Engineering, Data Analysis, Data Science and other Data Careers

What you'll 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.






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