SQL For Data Analyst and Data Engineer
Data Analysis and Data Engineer
Updated on Apr, 2024
Language - English
Data & Analytics,Data Analysis,Databases,Business,SQL
Lectures -117
Duration -7.5 hours
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Course Description
SQL is the most widely used language for data analysis and manipulation. Whether you are a data analyst, data scientist, marketer, engineer, or product manager, knowing SQL will help you access and work with data more efficiently and effectively.
In this course, you will learn the basics of SQL and how to use it for various data analysis tasks. You will learn how to write common SQL commands, such as SELECT, FROM, WHERE, JOIN, and GROUP BY. You will also learn how to use more advanced features of SQL, such as subqueries, temp tables, window functions, and date functions.
By the end of this course, you will be able to write SQL queries to extract, transform, and analyze data from any relational database. You will also be able to apply your SQL skills to real-world scenarios and projects.
This course is designed for beginners an Professional who have some familiarity with data in spreadsheets. No prior programming experience is required. All you need is a computer and an internet connection.
Join this course today and start your journey to becoming a SQL expert!?
SQL is used in many real-world scenarios where data is stored in relational databases and needs to be accessed, manipulated, or analyzed. Here are some examples:
E-commerce websites use SQL to store product information, customer details, orders, payments, and reviews. For example, Amazon uses MySQL, a popular relational database management system, for its online transactions.
Social media networks use SQL to store user information, posts, comments, likes, shares, and messages. For example, Facebook uses MySQL for its primary data storage and Hive for its data warehouse.
Educational institutions use SQL to store student records, grades, courses, enrollments, and attendance. For example, Stanford University uses Oracle Database, a powerful relational database management system, for its administrative and academic functions.
Who this course is for:
- Working Professionals beginning their Data journey
- Data Analyst
- Anyone curious to master SQL from beginner to Advanced in short span of time
- Students or Professional looking for Job as Data Analyst
Goals
What will you learn in this course:
SQL Query for Data Analysis
Basic SQL Syntax
SQL Join
Limiting Row
Filtering Data
Set Operation
Subquery
Grouping Data
Common Table Expression
Pivot in SQL
Expression in SQL Server
Function in SQL
Window and Rank Function
Regex in SQL
SQL Interview Question
View
Store Procedure
Data Definition Language
Data Manipulation Language
Constraint
Sequence and Identity
Prerequisites
What are the prerequisites for this course?
NO experience needed, Any one can learn this Course
Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction
2 Lectures
-
Introduction
06:24
06:24
-
Connect SQL Server
02:49
02:49
Data Definition Language
12 Lectures
Basic SQL Statement
2 Lectures
SQL Data Types
5 Lectures
Data Manipulation Language
9 Lectures
Identity and Sequence
2 Lectures
Truncate and Truncate Vs Delete
2 Lectures
Constraint
12 Lectures
Limiting The Rows
2 Lectures
Filtering The Data
8 Lectures
Join
6 Lectures
Group By
6 Lectures
Sub Query
7 Lectures
Set Operator
3 Lectures
Common Table Expression
3 Lectures
Pivot Table
1 Lectures
Function in SQL
5 Lectures
Normalization
1 Lectures
Window or Analytics Function
5 Lectures
Handling Null Value
3 Lectures
Expression in SQL
1 Lectures
View in SQL
4 Lectures
Store Procedure in SQL
4 Lectures
Regex in SQL
4 Lectures
Trigger
8 Lectures
Instructor Details
sonu kumar
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