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IT & Software SQL Course Go From Fresher To Professional (1 Viewer)

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 IT & Software SQL Course Go From Fresher To Professional (1 Viewer)

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baladia

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Duration: dt3h34m | Video: .MP4, 1920x1080 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 8.59 GB
Genre: eLearning | Language: English
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.
Link:
 

catnip123

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a5a95c70ed447311ed2c6e952c34c9cd.jpeg
Duration: dt3h34m | Video: .MP4, 1920x1080 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 8.59 GB
Genre: eLearning | Language: English
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.
Link:
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thanks
 

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