SQL (Structured Query Language) is the programming language evolved in managing data on the databases, extensively on RDBMS (Relational Database Management Systems) platforms. It has a very strong stable execution engines to deal with mostly structured data types. Modern NoSQL, Columnar databases are the extended platforms inspired from the CRUD functionalities of SQL. Most of the database platforms are standardized through ANSI/ISO stored modules to be able to manage data. There are open-source and licensed RDBMS databases with production level deployments like Oracle, SQL Server, MySQL, MariaDB, PostgreSQL, DB2 etc…
Through this course you will learn to install PostgreSQL database and move on with SQL programming fundamentals of DDLs, DMLs, DQLs & DCL’s. Without SQL programming it is quite close to impossible to become a Data Engineer or a Data Analyst or a Data Scientist.
Orskl, made it very easy and importantly FREE for you to learn SQL at your own pace and at leisure. From setup to solving problems is all that matters to learn a new programming language and this course helps you to achieve.
You are just one simple step away from getting this course right into your bucket & start learning all the topics which are listed in the course contents below.

Pre-requisites (Free)
System Requirements
Any basic desktop or laptop
Mode Of Trainings
Recorded Video Sessions
Resources
Lifetime access to the recorded videos will be given along with all supportive documents, logs, references and software’s if any.
Placements
Chapter 1: INTRODUCTION
- RDBMS
- PostgreSQL
- System Requirements
- PostgreSQL architecture
- Setup & Install
- Start/Stop PostgreSQL
- RDBMS vs Excel
- RDBMS vs NoSQL
- Terminologies
- IDE(s)
- Users & Privileges
Chapter 2: DDL
- Data Types
- Create
- Alter
- Drop
- Constraints
- Primary & foreign keys
- Index
Chapter 3: DML & TCL
- Insert
- Update
- Delete
- Truncate
- Commit & rollback
Chapter 4: RETRIEVE DATA
- Load database
- Select
- Limit rows & columns
- Describe
- Aliasing
- Arithmetic operations
- Distinct
- Null values
- Sort data
Chapter 5: TYPE CONVERSIONS
- To_char
- To_date
- To_number
Chapter 6: FUNCTIONS & CONDITIONS
- Case conversion
- Character manipulation
- Number
- Dates
- Coalesce
- Case
Chapter 7: DATA AGGREGATIONS
- Group by
- Sum, avg, max, min, count
- Stddev
- Variance
- Having
Chapter 8: SUB QUERIES
- Types
- Singe-row Sub Query
- GROUP BY Sub Query
- HAVING Sub Query
- Multiple-row Sub Query
Chapter 9: JOINS
- Types
- Inner join
- Left join
- Right join
- Full join
- Cross join & cartesian product
Chapter 10: SET OPERATIONS
- Types
- Union
- Union & union all
- Intersect
- Except/minus
Chapter 11: OTHER OBJECTS
- Views
- Materialized views
- Triggers
- Procedures
Frequently Asked Questions (FAQs)
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