SQL for Data Analytics and Business Analytics
SQL for Data Analytics and Business Analytics, available at $19.99, with 56 lectures, and has 3 subscribers.
You will learn about Introduction of SQL Server Select Statement with Multiple Scenarios All Types of JOINS (Inner, Left, Right, Full, Cross, Self Joins) Sub Queries with Multiple Business Scenarios SQL IN, Between, Like, Not Null, IS NOT NULL Import and Export Data with Live Scenarios Delete and Truncate to remove data from Table Complex SQL Query with Sales Data This course is ideal for individuals who are This course is for them who want to mark career in Data Analytics, Business Analytics, Reporting It is particularly useful for This course is for them who want to mark career in Data Analytics, Business Analytics, Reporting.
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Summary
Title: SQL for Data Analytics and Business Analytics
Price: $19.99
Number of Lectures: 56
Number of Published Lectures: 56
Number of Curriculum Items: 56
Number of Published Curriculum Objects: 56
Original Price: $19.99
Quality Status: approved
Status: Live
What You Will Learn
- Introduction of SQL Server
- Select Statement with Multiple Scenarios
- All Types of JOINS (Inner, Left, Right, Full, Cross, Self Joins)
- Sub Queries with Multiple Business Scenarios
- SQL IN, Between, Like, Not Null, IS NOT NULL
- Import and Export Data with Live Scenarios
- Delete and Truncate to remove data from Table
- Complex SQL Query with Sales Data
Who Should Attend
- This course is for them who want to mark career in Data Analytics, Business Analytics, Reporting
Target Audiences
- This course is for them who want to mark career in Data Analytics, Business Analytics, Reporting
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 analysis
By 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.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Course Overview
Lecture 2: What is Analyst
Lecture 3: Introduction of SQL Server
Lecture 4: Datasets and Power Point Downloadable Resource
Lecture 5: SQL Server Interface
Lecture 6: Server and Database
Lecture 7: SQL Table, Record, Field
Chapter 2: SQL Table
Lecture 1: Create Table
Lecture 2: Create Table without Create Statement
Lecture 3: Delete Table
Lecture 4: Alter Table
Chapter 3: Data Insert, Import and Export
Lecture 1: Insert Data with Graphical User Interface
Lecture 2: Insert Data into Table
Lecture 3: Bulk Insert Data into Table
Lecture 4: Import Data into Table
Lecture 5: Export Data from Table
Chapter 4: Delete and Truncate
Lecture 1: Delete Data on Condition
Lecture 2: Delete Entire Data from Table
Chapter 5: Update Data
Lecture 1: Update Entire Field Data in Table
Lecture 2: Update Data on Condition
Lecture 3: Begin Transaction
Chapter 6: Select Statement to View Data (Where Clause)
Lecture 1: View Data
Lecture 2: View Distinct Data
Lecture 3: View Filtered Data
Chapter 7: Filter Data with Where Clause (And, Or, IN, Between, LIKE, TOP Operators)
Lecture 1: View Filtered Data with AND Operator
Lecture 2: View Filtered Data with OR Operator
Lecture 3: View Filtered Data with IN Operator
Lecture 4: View Filtered Data with BETWEEN Operator
Lecture 5: View Filtered Data with LIKE Operator
Lecture 6: View Top and Bottom Records with TOP Clause
Chapter 8: SQL Order By
Lecture 1: Sort Data in Ascending or Descending Orders
Lecture 2: Sort Data In Ascending Orders
Lecture 3: Sort Data in Descending Orders
Chapter 9: Group By and Having
Lecture 1: Extract Distinct Data
Lecture 2: Aggregate Data with Group By
Lecture 3: Apply Condition with Having Clause
Chapter 10: SQL Sub Query
Lecture 1: Extract Data of Max Value
Lecture 2: Extract Data of Min Value
Lecture 3: Extract Data more than Average Value
Lecture 4: Extract 3rd Highest Sales
Chapter 11: SQL Joins
Lecture 1: Introduction of Join
Lecture 2: Inner Join
Lecture 3: Left Join
Lecture 4: Right Join
Lecture 5: Full Join
Lecture 6: Cross Join
Lecture 7: Self Join
Chapter 12: SQL Union
Lecture 1: Union
Lecture 2: Union ALL
Lecture 3: Intersect
Lecture 4: Except
Chapter 13: SQL Case Statement
Lecture 1: Create a Conditional Field
Chapter 14: Window Function and Common Table Expression (CTE)
Lecture 1: Row_Number Function
Lecture 2: Rank Function
Lecture 3: Dense_Rank Function
Lecture 4: Extract Product Name of 3rd Largest Sales
Instructors
-
Shishir Kumar
Have good experience as an instructor from last 15 years.
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