Sql For Data Analytics And Business Analytics

Published 11/2023
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.48 GB | Duration: 4h 51m

Mastering SQL Server: A Comprehensive Guide to Database Management and Optimization

What you’ll learn
Introduction of SQL Server
Select Statement with Multiple Scenarios
All Types of JOINS
Sub Queries with Multiple Business Scenarios

Requirements
No specific requirement to learn this course. This course will guide you step by step

Description
Embark on a journey to become a proficient SQL user with our comprehensive course designed for beginners and advanced learners alike. Whether you are a database novice or looking to enhance your SQL skills, this course covers everything you need to know about Structured Query Language (SQL) and its application in database management.1 Foundation of SQL:- Understanding the fundamentals of relational databases. Mastering the basics of SQL syntax and structure. Creating and manipulating database tables.2 Querying Data:-Writing powerful SQL queries to retrieve and filter data.Employing advanced querying techniques for complex data extraction.3. Data Modification:- Inserting, updating and deleting records in a table. Ensuring data integrity through constraints.4. Joins and Relationships:- Exploring relationship between tables Utilizing different types of joins for comprehensive data retrieval.5 Data Aggregation and Grouping:- Understanding aggregate functions for summarizing data Grouping and transforming data for insightful analysisBy the end of this course, you will have the knowledge and hands-on experience to confidently work with SQL databases, manage data effectively, and optimize database performance.Whether you are pursuing a career in database administration, data analysis BI developer.This course equips you with the skills needed to excel in the world of databases.

Overview
Section 1: Introduction

Lecture 1 Course Introduction

Lecture 2 Introduction of SQL Server

Lecture 3 SQL Server Interface

Lecture 4 Server and Database

Lecture 5 SQL Table, Record, Field

Section 2: SQL Table

Lecture 6 Create Table

Lecture 7 Create Table without Create Statement

Lecture 8 Delete Table

Lecture 9 Alter Table

Section 3: Data Insert, Import and Export

Lecture 10 Insert Data with Graphical User Interface

Lecture 11 Insert Data into Table

Lecture 12 Bulk Insert Data into Table

Lecture 13 Import Data into Table

Lecture 14 Export Data from Table

Section 4: Delete and Truncate

Lecture 15 Delete Data on Condition

Lecture 16 Delete Entire Data from Table

Section 5: Update Data

Lecture 17 Update Entire Field Data in Table

Lecture 18 Update Data on Condition

Section 6: Select Statement to View Data (Where Clause)

Lecture 19 View Data

Lecture 20 View Distinct Data

Lecture 21 View Filtered Data

Section 7: Filter Data with Where Clause (And, Or, IN, Between, LIKE, TOP Operators)

Lecture 22 View Filtered Data with AND Operator

Lecture 23 View Filtered Data with OR Operator

Lecture 24 View Filtered Data with IN Operator

Lecture 25 View Filtered Data with BETWEEN Operator

Lecture 26 View Filtered Data with LIKE Operator

Lecture 27 View Top and Bottom Records with TOP Clause

Section 8: SQL Order By

Lecture 28 Sort Data in Ascending or Descending Orders

Lecture 29 Sort Data In Ascending Orders

Lecture 30 Sort Data in Descending Orders

Section 9: Group By and Having

Lecture 31 Extract Distinct Data

Lecture 32 Aggregate Data with Group By

Lecture 33 Apply Condition with Having Clause

Section 10: SQL Sub Query

Lecture 34 Extract Data of Max Value

Lecture 35 Extract Data of Min Value

Lecture 36 Extract Data more than Average Value

Section 11: SQL Joins

Lecture 37 Introduction of Join

Lecture 38 Inner Join

Lecture 39 Left Join

Lecture 40 Right Join

Lecture 41 Full Join

Lecture 42 Cross Join

Lecture 43 Self Join

Section 12: SQL Union

Lecture 44 Union

Lecture 45 Union ALL

Lecture 46 Intersect

Lecture 47 Except

Section 13: SQL Case Statement

Lecture 48 Create a Conditional Field

Section 14: Common Table Expression (CTE)

Lecture 49 Extract Product Name of 3rd Largest Sales

This course is for them who want to mark career in Data Analytics, Business Analytics, Reporting

HomePage: https://www.udemy.com/course/sql-for-data-analytics-or-business-analytics/

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