SQL Course & Certification
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Earn certification from EduCADD THINKWorks, India’s most trusted educational institution with over 25+ years of excellence, in collaboration with Mindforge and the National Skill Development Corporation (NSDC). Pursue a high-paying career in SQL with Mindforge Infotech’s new SQL Course and gain a competitive edge in the job market
The SQL Course is designed to give participants a deep understanding of Structured Query Language (SQL), the standard language used to manage and manipulate relational databases. This course covers everything from the basics of SQL syntax to advanced database operations, enabling students to write complex queries for retrieving, updating, and managing data. Participants will learn essential concepts like database design, normalization, indexing, and how to perform operations such as joins, subqueries, and aggregations. Through hands-on exercises, students will gain practical experience in managing databases and solving real-world data challenges.
In addition to learning SQL fundamentals, the course emphasizes best practices for database management, optimization, and security. Participants will also explore how to integrate SQL with other tools and languages commonly used in data analytics and application development. By the end of the course, students will be proficient in writing efficient SQL queries and managing databases, preparing them for roles such as Data Analyst, Database Administrator, or SQL Developer. With SQL being a foundational skill in many industries, this course opens up diverse career opportunities in sectors like technology, finance, healthcare, and business intelligence.
SQL Course Curriculum
- List the features of Oracle Database 12c
- Discuss the basic design, theoretical, and physical aspects of a relational database
- Categorize the different types of SQL statements
- Describe the data set used by the course
- Log on to the database using SQL Developer environment Save
- Queries to files and use script files in SQL Developer
- List the capabilities of SQL SELECT statements
- Generate a report of data from the output of a basic SELECT statement Select All Columns
- Select Specific Columns
- Use Column Heading Defaults
- Use Arithmetic Operators
- Learn the DESCRIBE command to display the table structure
- Understand Operator Precedence
- Write queries that contain a WHERE clause to limit the output retrieved List the comparison operators and logical operators that are used in a WHERE clause
- Describe the rules of precedence for comparison and logical operators Use character string literals in the WHERE clause
- Write queries that contain an ORDER BY clause to sort the output of a SELECT statement
- Sort output in descending and ascending order
- Describe the differences between single row and multiple row functions
- Manipulate strings with character function in the SELECT and WHERE clauses
- Manipulate numbers with the ROUND, TRUNC, and MOD functions Perform arithmetic with date data
- Manipulate dates with the DATE functions
- Describe implicit and explicit data type conversion
- Use the TO_CHAR, TO_NUMBER, and TO_DATE conversion functions Nest multiple functions
- Apply the NVL, NULLIF, and COALESCE functions to data Use conditional IF THEN ELSE logic in a SELECT statement
- Use the aggregation functions in SELECT statements to produce meaningful reports
- Divide the data into groups by using the GROUP BY clause
- Divide the data into groups by using the GROUP BY clause
- Create a simple and complex view
- Retrieve data from views
- Create, maintain, and use sequences
- Create and maintain indexes
- Create private and public synonyms
- Describe the types of problem that sub-queries can solve
- Define sub-queries
- List the types of sub-queries
- Write single-row and multiple-row sub-queries
- Describe the SET operators
- Use a SET operator to combine multiple queries into a single query
- Control the order of rows returned
- Describe each DML statement
- Insert rows into a table
- Change rows in a table by the UPDATE statement
- Delete rows from a table with the DELETE statement
- Save and discard changes with the COMMIT and ROLLBACK statements
- Explain read consistency
- Categorize the main database objects
- Review the table structure
- List the data types available for columns
- Create a simple table
- Decipher how constraints can be created at table creation
- Describe how schema objects work
- Create a simple and complex view Retrieve data from views
- Create, maintain, and use sequences Create and maintain indexes
- Create private and public synonyms
- Differentiate system privileges from object privileges
- Create Users
- Grant System Privileges
- Create and Grant Privileges to a Role Change Your Password
- Grant Object Privileges How to pass on privileges?
- Revoke Object Privileges
- Add, Modify and Drop a Column
- Add, Drop and Defer a Constraint
- How to enable and disable a Constraint?
- Create and Remove Indexes
- Create a Function-Based Index
- Perform Flashback Operations
- Create an External Table by Using ORACLE_LOADER and by Using
- Query External Tables
- Explain the data dictionary
- Use the Dictionary Views
- USER_OBJECTS and ALL_OBJECTS Views
- Table and Column Information
- Query the dictionary views for constraint information
- Query the dictionary views for view, sequence, index, and synonym information
- Add a comment to a table
- Use Subqueries to Manipulate Data
- Retrieve Data Using a Subquery as Source
- Insert Using a Subquery as a Target
- Usage of the WITH CHECK OPTION Keyword on DML Statements
- List the types of Multi-table INSERT Statements
- Use Multi-table INSERT Statements
- Merge rows in a table
- Track Changes in Data over a period of time
- Explain the data dictionary
- Use the Dictionary Views
- USER_OBJECTS and ALL_OBJECTS Views
- Table and Column Information
- Query the dictionary views for constraint information
- Query the dictionary views for view, sequence, index, and synonym information
- Add a comment to a table
- Use Subqueries to Manipulate Data
- Retrieve Data Using a Subquery as Source
- Insert Using a Subquery as a Target
- Usage of the WITH CHECK OPTION Keyword on DML Statements
- List the types of Multi-table INSERT Statements
- Use Multi-table INSERT Statements
- Merge rows in a table
- Track Changes in Data over a period of time
- Multiple-Column Subqueries
- airwise and No pairwise Comparison
- Scalar Subquery Expressions
- Solve problems with Correlated Subqueries
- Update and Delete Rows Using Correlated Subqueries
- The EXISTS and NOT EXISTS operators
- Invoke the WITH clause
- The Recursive WITH clause
- Use the Regular Expressions Functions and Conditions in SQL
- Use Meta Characters with Regular Expressions
- Perform a Basic Search using the REGEXP_LIKE function Find
- patterns using the REGEXP_INSTR function
- Extract Substrings using the REGEXP_SUBSTR function
- Replace Patterns Using the REGEXP_REPLACE function
- Usage of Sub-Expressions with Regular Expression Support
- Implement the REGEXP_COUNT function
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Career Opportunity After Completing SQL Course
- Database Developer
- Data Scientist
- Database Administrator
- Quality Assurance Tester
- Researcher / Educator
- Database Migration Engineer
- SQL Data Analyst
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