
Master the fundamentals of Oracle SQL by comparing DBMS and RDBMS, practicing select statements with from, where, group by, having, order by, and basic DDL and DML commands.
Install the Oracle database on Windows XP, select the enterprise edition as a single-instance database, create a new Windows user with a password, and complete the installation.
Master restricting data using single and multiple restrictions, operators, and literals in Oracle SQL. Then apply sorting with the order by clause, choosing ascending or descending order and handling nulls.
apply single row restriction in Oracle SQL using comparison operators, in, and/or to filter employees by department, salary range, and job type, with substitution variables.
Explore practical Oracle SQL exam scenarios, practicing queries with select, from, where, and order by, covering ascending and descending sorting, implicit conversions, like patterns, and five percent rule examples.
Explore data manipulation language in Oracle SQL, and learn how insert, update, and delete modify tables, while managing transactions with commit and rollback to finalize or revert changes.
Learn practical Oracle SQL inserts, including basic insert into values, column lists, insert all with conditional routing to small, medium, and big orders, and commit rollback control.
Explore practical DML delete operations in oracle sql, including deleting all records, deleting with conditions, rolling back, and using merge for insert or update across source and target tables.
Create locations and workers with primary keys and a foreign key from workers to locations. Include a unique worker name and a salary check greater than 15000; emphasize constraint naming.
Explore practical constraints in Oracle SQL, including primary keys, unique constraints, and cascade delete, with metadata access and table alterations on departments and employees.
Practice oracle sql constraints with exam-style questions on dropping and altering columns, handling primary and foreign keys, defaults, and rollback implications.
Discover oracle single row functions and their types, including character functions, no functions, convergent functions, special or general functions, and conditional expressions, with practical, row-level outputs in depth.
Explore Oracle SQL number functions in this practical session, including mod for remainders, round with decimal control, truncation, and ceil/ceiling and floor operations.
Explore Oracle SQL date functions through practical examples of sysdate, next_day, last_day, and months_between. Learn to_char, add or subtract days, months, and hours for dynamic date handling.
Explore explicit and implicit conversion functions in Oracle SQL, converting numbers, dates, and characters to different formats with practical examples of date handling, formatting, and between usage.
Master Oracle SQL general functions and conditional expressions by applying NVL, COALESCE, and CASE to handle nulls, convert data types, and compute salaries with commissions.
Oracle SQL exam preparation covers single row functions and group functions, evaluating expressions, nesting, and practicing having and group by usage.
Learn to master Oracle SQL joins, including inner, outer, and cross joins, with equal joins using on, using, and natural join; cover left and right outer joins and syntax styles.
Explore the ER diagram of the SCOTT and HR schema, identify common columns and references, and understand inner, left outer, and full outer joins.
Explore practical joins, including inner, left outer, right outer, full outer, and natural joins, with cartesian product examples from employees and managers to prep for the exam.
Explore subqueries in oracle sql, including inner and outer queries, non-correlated and correlated types, and single-row versus multi-row subqueries using operators and table references.
Practice non-correlated and single/multi-row subqueries in Oracle SQL, using real-world examples to fetch jobs, compare salaries with all/any, and identify max salaries by department.
Explore subqueries in Oracle SQL through exam-style questions on update with subqueries, execution rules, and the truth of statements about comparing columns, cross-table data access, and subquery levels.
We all know that , SQL is more powerful and widely used language for data work.
All the dynamic websites existing on the internet are database driven. Dynamic sites like online banking, social media sites, railway reservation, e-commerce
are connected to database. If database is there then SQL will definitely come into the picture.
Almost all of the biggest names in tech use SQL. Uber, Netflix - the list goes on. Even within the companies like Facebook, Google, Amazon , which have built
their own high performance database systems and data teams use SQL to query and perform analysis.
You might be knowing that , SQL is most demanding for Data Analyst role, Data Scientist and Data Engineer role.
What are you going to learn from this course?
SQL Introduction And Basic Select Statements
Restricting And Sorting Data
Creating/Altering/Dropping/Renaming/Truncating Tables Using DDL Commands
Accessing Database Tables by Insert/Update/Delete DML Commands
Creating Constraints On Column To Avoid Unwanted Entry Of Data Into Table And To Maintain Parent-Child Relationship Between The Tables
Single Row Functions And Multi Row Functions
Fetching Data From Multiple Tables Using Joins
Using Subqueries
Using Set Operators To Combine Data From Multiple Queries
Using Other Schema Objects
Creating GTT - Global Temporary Tables
Using LISTAGG Function
Grant/Revoke of System And Object privileges
Creating Roles , Granting Privileges To Roles And Granting Roles to Users
More?
Hundreds of Examples
Professional Course Design,
Well-organized Content
In-Depth Subjects (All subjects are explained with all details)
Lifetime Author Support.