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  • Students will understand the importance of maintaining data integrity in a database.

  1. Introduction to Databases: Students will gain a foundational understanding of databases, their purpose, and how they are used in various applications. They will learn about database management systems (DBMS) and different types of databases, such as relational databases.

  2. SQL Fundamentals: Students will learn the basics of SQL, including the syntax, data types, operators, and functions. They will understand how to create, modify, and delete database objects such as tables, views, indexes, and constraints.

  3. Querying Data: Students will learn how to retrieve data from a database using SQL queries. They will understand the SELECT statement and its various clauses, such as WHERE, GROUP BY, HAVING, ORDER BY, and JOIN. They will be able to filter, sort, and aggregate data to extract the required information.

  4. Data Manipulation: Students will learn how to insert, update, and delete data in a database using SQL statements. They will understand how to modify the structure and content of tables, including adding or removing columns and altering data.

  5. Data Filtering and Sorting: Students will gain skills in filtering and sorting data based on specific conditions. They will learn how to use comparison operators, logical operators, and wildcard characters to refine their queries.

  6. Data Analysis: Students will learn how to perform basic data analysis using SQL. They will understand how to use aggregate functions (such as SUM, AVG, COUNT) and grouping to calculate summary statistics and generate reports.

  7. Data Joins: Students will learn how to combine data from multiple tables using different types of joins, such as inner join, left join, right join, and full outer join. They will understand how to establish relationships between tables using primary and foreign keys.

  8. Subqueries and Views: Students will explore advanced SQL concepts like subqueries and views. They will learn how to create nested queries to retrieve data from multiple levels and how to create virtual tables (views) for simplifying complex queries and improving query reusability.

  9. Data Integrity and Constraints: Students will understand the importance of maintaining data integrity in a database. They will learn about constraints, such as primary keys, foreign keys, unique constraints, and check constraints, to enforce data consistency and integrity.

     

  • Microsoft SQL Server,SSMS
  • SQL Developer, Business Analyst, BI People
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  • Section 1 : SQL for Beginner-For Data Analytics & Business Intelligence 28 Lectures 01:12:52

    • Lecture 1 :
    • SQL-Create Database,table,Insert,Select Preview
    • Lecture 2 :
    • SQL-Alter Table
    • Lecture 3 :
    • SQL-Delete,Truncate,Drop,Alter
    • Lecture 4 :
    • SQL-Update,Delete,Backup
    • Lecture 5 :
    • SQL-Operators_1
    • Lecture 6 :
    • SQL-Operators_2
    • Lecture 7 :
    • SQL-Operators_3
    • Lecture 8 :
    • SQL-Operators_4
    • Lecture 9 :
    • SQL-LIKE Operator_0
    • Lecture 10 :
    • SQL-LIKE Operator_1
    • Lecture 11 :
    • SQL-LIKE Operator_2
    • Lecture 12 :
    • SQL-LIKE Operator_3
    • Lecture 13 :
    • SQL-Aggregate_Date Functions_1
    • Lecture 14 :
    • SQL-Aggregate_Date Functions_2
    • Lecture 15 :
    • SQL-Aggregate_Date Functions_3
    • Lecture 16 :
    • SQL-Aggregate_Date Functions_4
    • Lecture 17 :
    • SQL-Text Functions_0
    • Lecture 18 :
    • SQL-Text Functions_1
    • Lecture 19 :
    • SQL-Text Functions_2
    • Lecture 20 :
    • SQL-Text Functions_3
    • Lecture 21 :
    • SQL-Text Functions_4
    • Lecture 22 :
    • SQL-Text Functions_5
    • Lecture 23 :
    • SQL-Clauses
    • Lecture 24 :
    • SQL-Clauses_1
    • Lecture 25 :
    • SQL-Sub Query
    • Lecture 26 :
    • SQL-Case When
    • Lecture 27 :
    • SQL-Joins
    • Lecture 28 :
    • SQL-Constraints
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I am a Microsoft Certified Power BI, SQL, MSBI freelance Trainer with International training exposure. I had Provided 10+ corporate level training. Also I have trained 2000+ participants till 2023. Training provided to all age groups (22 to 60+ Yrs.).Having good exposure into BI Tools like SQL, SSIS, SSRS, SSAS, Power BI. I have received 98% positive feedback on my practical training. I have 16 Years of experience in IT industry.
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