Free Download Sql For Data Analytics And Business Analytics
Published 11/2023
MP4 | Video: h264, 1920x1080 | 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

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