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SQL

Course Duration: 3h
Enrolled:0

Topics for this course

SQL

  • 07:43
  • Case study part 1
    04:16
  • Case study part 2
    03:39
  • Create
    11:19
  • Exercise 1 create db and table
    01:27
  • Insert
    07:54
  • Import data from file
    04:39
  • Exercise 2 inserting and importing
    01:01
  • Select statement
    03:32
  • Select distinct
    05:09
  • Hands-On with Facebook Ads Quiz
  • Where
    03:26
  • Logical operators
    05:13
  • Exercise 3 : select and where
    01:14
  • Update
    04:30
  • Delete
    03:39
  • Alter
    14:22
  • Exercise 4 : updating table
    00:59
  • Restore and Backup
    06:22
  • Debugging Restoration
    07:44
  • Creating db using csv files
    05:20
  • Exercise 5 : Restore and Backup
    00:50
  • in
    03:41
  • Between
    04:46
  • Like
    07:45
  • Exercise 6 : in like between
    00:48
  • Side lecture (commenting_in_sql)
    01:14
  • Order by
    06:06
  • Limit
    02:56
  • Exercise 7 : sorting
    00:47
  • as
    03:12
  • Count
    04:03
  • Sum
    02:29
  • Average
    02:32
  • Min and Max
    03:28
  • Exercise 8 : Aggregate Functions
    00:57
  • Group by
    09:32
  • Having
    03:59
  • Exercise 9 : Group by
    01:09
  • Case when
    04:43
  • Introduction to joins
    02:23
  • Inner join
    06:53
  • Left join
    06:43
  • Right join
    05:53
  • Full outer join
    03:49
  • Cross joins
    03:13
  • Except
    02:37
  • Union
    02:43
  • Exercise 10 : joins
    01:09
  • Part 1 : subquery in where clause
    03:57
  • Part 2 : Subquery in from clause
    04:17
  • Part 3 : Subquery in select
    03:34
  • Views
    06:26
  • Index
    06:05
  • Exercise 11 : views
    00:41
  • String length
    03:11
  • String upper and lower
    01:43
  • String Replace
    03:34
  • String trim
    05:27
  • String concat
    02:22
  • String substring
    05:17
  • String stringaggregator
    04:01
  • Exercise 12 : string function
    02:12
  • Ceil floor
    03:16
  • Random
    04:32
  • Setseed
    03:17
  • Round
    02:17
  • Power
    01:46
  • Exercise 13 : Mathematical function
    01:23
  • Current date time
    04:05
  • Date time (age)
    03:29
  • Date time (extract)
    06:36
  • Converting numbers date to string
    08:44
  • Converting string to numbers date
    04:18
  • ACID compliance
    03:35
  • Average Function
    05:18
  • colease
    05:07
  • COUNT
    03:05
  • Implementing Row Number in SQL
    13:52
  • Introduction to Row Number
    04:18
  • Introduction to Windows Function
    07:41
  • LAG LEAD
    05:49
  • m3_t1_v1_module_introduction
    02:18
  • m3_t1_v2_joining_concepts
    10:30
  • m3_t1_v3_preparing_data_for_joins
    02:01
  • m3_t1_v9_intersect,_intersect_all,_union_all (1080p)
    06:07
  • Ntile
    05:07
  • Primary key Foreign key
    04:24
  • Rank and Denserank
    05:25
  • Running Total
    05:41
  • SUM function
    07:57
  • Tablespace
    04:26
  • TIP 2
    01:17
  • Tip 3
    02:31
  • Tip 4 Vaccum
    00:54
  • Tip 5 Truncate
    01:56
  • Tip 6 String functions
    02:04
  • Tip 7 Joins
    01:46
  • Tip 8 Schemas
    04:13
  • Truncate table
    03:08
  • Tip 1
    03:15

Description

This PostgreSQL course provides a complete, hands-on introduction to relational database management and SQL querying. Learners begin by installing and setting up PostgreSQL, followed by creating databases and tables, inserting and importing data, and performing CRUD operations. The course covers filtering, sorting, aggregation, grouping, joins, subqueries, and views. Advanced topics include string, mathematical, and date-time functions, indexing, backup and restore, ACID compliance, and performance tips. Learners also explore window functions, ranking, running totals, and keys. Real-world case studies and exercises build strong SQL skills for data analysis and backend development.

What I will learn?

  • Install and configure PostgreSQL, create databases, tables, and manage data using SQL commands.
  • Perform data insertion, updates, deletions, imports, backups, and restoration with best practices.
  • Write powerful SELECT queries using filters, sorting, logical operators, and conditional expressions.
  • Use aggregate functions, GROUP BY, HAVING, and CASE statements for summarized data analysis.
  • Combine tables using joins, unions, subqueries, views, and understand relational database concepts.
  • Apply string, mathematical, and date-time functions for data transformation and cleaning.
  • Implement advanced SQL features including window functions, ranking, indexing, and performance optimization techniques.
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Tags

Target Audience

  • Students learning database fundamentals and SQL querying.
  • Beginners interested in learning PostgreSQL from scratch.
  • Aspiring data analysts working with relational databases.
  • Backend developers managing structured database systems.
  • Business analysts needing SQL for data extraction.
  • Working professionals upgrading database and querying skills.
  • Data engineers handling large structured datasets.
  • Trainers and educators teaching SQL and databases.

Requirements

  • Basic computer knowledge and familiarity with Windows or Linux operating systems.
  • Laptop or desktop with PostgreSQL installation capability.
  • Basic understanding of data or databases is helpful.
  • Willingness to practice SQL queries and exercises regularly.