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SQL for beginners with- Microsoft SQL Server - PostgreSQL

  • Development
  • Mar 28, 2025
SynopsisSQL for beginners with: Microsoft SQL Server | PostgreSQL, a...
SQL for beginners with- Microsoft Server - PostgreSQL  No.1

SQL for beginners with: Microsoft SQL Server | PostgreSQL, available at $44.99, has an average rating of 4.6, with 78 lectures, based on 28 reviews, and has 4531 subscribers.

You will learn about Backup a database Restore a database Create stored procedures Write SQL queries with confidence Select data from specific table column Select data from all table columns Join data from multiple tables Insert records into the database Extract data from database using subqueries Delete records Query databases with multiple operators Group data Aggregate data Filter Data from database Sort data from database This course is ideal for individuals who are Beginners to SQL It is particularly useful for Beginners to SQL.

Enroll now: SQL for beginners with: Microsoft SQL Server | PostgreSQL

Summary

Title: SQL for beginners with: Microsoft SQL Server | PostgreSQL

Price: $44.99

Average Rating: 4.6

Number of Lectures: 78

Number of Published Lectures: 78

Number of Curriculum Items: 78

Number of Published Curriculum Objects: 78

Original Price: $54.99

Quality Status: approved

Status: Live

What You Will Learn

  • Backup a database
  • Restore a database
  • Create stored procedures
  • Write SQL queries with confidence
  • Select data from specific table column
  • Select data from all table columns
  • Join data from multiple tables
  • Insert records into the database
  • Extract data from database using subqueries
  • Delete records
  • Query databases with multiple operators
  • Group data
  • Aggregate data
  • Filter Data from database
  • Sort data from database
  • Who Should Attend

  • Beginners to SQL
  • Target Audiences

  • Beginners to SQL
  • SQL or Structured Query Language is a critical tool for data professionals. It is undoubtedly the most important language for getting a job in the field of data analysis or data sciences.

    Millions of data points are being generated every minute and raw data does not have any story to tell. After all this data gets stored in databases and professionals use SQL to extract this data for further analysis.

    SQL is the most common language for extracting and organising data that is stored in a relational database.

    A database is a table that consists of rows and columns. SQL is the language of databases.

    It facilitates retrieving specific information from databases that are further used for analysis.

    SQL can be used to:

  • Execute queries against a database

  • Retrieve data from a database

  • Insert records into a database

  • Update records in a database

  • Delete records from a database

  • Create new databases, or new tables in a database

  • Create stored procedures & views in a database

  • Set permissions on tables, procedures, and views

  • Backup and restore data

  • Join data from multiple tables

  • Microsoft SQL Server is a relational database management system developed by Microsoft. As a database server, it is a software product with the primary function of storing and retrieving data as requested by other

    software applications—which may run either on the same computer or on another computer across a network.

    PostgreSQL, also known as Postgres, is a free and open-source relational database management system emphasizing extensibility and SQL compliance.

    Course Curriculum

    Chapter 1: SQL Server Setup

    Lecture 1: Overview of SQL

    Lecture 2: Introduction

    Lecture 3: What is SQL Server

    Lecture 4: SQL Server Editions

    Lecture 5: Hardware and Software Installation Requirements

    Lecture 6: Download SQL Server

    Lecture 7: Install SQL Server

    Lecture 8: Install SSMS

    Lecture 9: Connect SSMS to SQL Server

    Lecture 10: Install Sample Database

    Lecture 11: Database Concepts

    Chapter 2: SQL | Microsoft SQL (T-SQL ) Fundamentals

    Lecture 1: What is SQL

    Lecture 2: What is Microsoft SQL (T-SQL)

    Lecture 3: Creating databases

    Lecture 4: Creating tables

    Lecture 5: Inserting data into database

    Lecture 6: Retrieving data from database

    Lecture 7: Creating Views

    Lecture 8: Creating stored proedures

    Lecture 9: Updating Records

    Lecture 10: Backing up database

    Lecture 11: Deleting records

    Lecture 12: Truncating tables

    Lecture 13: Dropping tables

    Lecture 14: Dropping database

    Lecture 15: Restoring database

    Chapter 3: Filtering data from SQL Server

    Lecture 1: Introduction

    Lecture 2: Filtering data with equality filters

    Lecture 3: Filtering data with comparisons

    Lecture 4: Filtering data with logical comparisons

    Lecture 5: Filtering data with string comparisons

    Lecture 6: Filtering data with NULL Comparisons

    Chapter 4: Sorting data from SQL Server Database

    Lecture 1: ORDER BY Clause

    Lecture 2: Sorting by ascending order

    Lecture 3: Sorting by descending

    Lecture 4: Sorting by multiple columns

    Chapter 5: PostgreSQL Setup

    Lecture 1: What is PostgreSQL

    Lecture 2: Installing PostgreSQL on Windows

    Lecture 3: Installing PostgreSQL on Macs

    Lecture 4: Installing PostgreSQL on Linux

    Lecture 5: Installing PgAdmin on Macs

    Lecture 6: Installing PgAdmin on Linux

    Lecture 7: Connect PgAdmin to PostgreSQL

    Lecture 8: Install Sample database

    Chapter 6: SQL Fundamentals with PostgreSQL Database

    Lecture 1: Filtering Data

    Lecture 2: Getting all data from a table

    Lecture 3: Getting data from specific table

    Lecture 4: Removing duplicate data

    Lecture 5: Sorting data

    Lecture 6: Grouping data

    Lecture 7: Filtering Groups

    Lecture 8: Sub Queries

    Chapter 7: SQL: Query data in PostgreSQL using Operators

    Lecture 1: Comparison Operators

    Lecture 2: Between Operators

    Lecture 3: Not Between Operators

    Lecture 4: Like Operators

    Lecture 5: NOT Operator

    Lecture 6: OR Operator

    Lecture 7: AND Operator

    Lecture 8: Combining AND | OR Operator

    Lecture 9: Limit Operator

    Lecture 10: IN Operator

    Lecture 11: Union Operator

    Lecture 12: Union All Operator

    Lecture 13: INTERSECT Operator

    Lecture 14: EXCEPT Operator

    Chapter 8: SQL: Data Aggregation with PostgreSQL

    Lecture 1: What are Aggregate Functions

    Lecture 2: AVG Function

    Lecture 3: COUNT Function

    Lecture 4: MAX Function

    Lecture 5: MIN Function

    Lecture 6: SUM Function

    Chapter 9: Joining Data from multiple tables in PostgreSQL

    Lecture 1: PostgreSQL Table Joins

    Lecture 2: INNER Join

    Lecture 3: LEFT Join

    Lecture 4: FULL Outer Join

    Lecture 5: CROSS Join

    Lecture 6: NATURAL Join

    Instructors

  • SQL for beginners with- Microsoft Server - PostgreSQL  No.2
    Bluelime Learning Solutions
    Making Learning Simple
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  • 1 stars: 0 votes
  • 2 stars: 1 votes
  • 3 stars: 3 votes
  • 4 stars: 7 votes
  • 5 stars: 17 votes
  • Frequently Asked Questions

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