SQL For Data Analyst and Data Engineer
Master the SQL from Beginner to Advanced in a short period of time
Updated on Feb, 2025
Language - English
Office Productivity,Oracle,PL/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 and Professionals 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 an 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 is this course for?
- Working Professionals beginning their Data journey.
- Data Analyst.
- Anyone curious to master SQL from beginner to Advanced in a short span of time.
- Students or Professionals looking for Jobs as Data Analysts.
Goals
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
No experience is needed, Anyone 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
I have 6+ Year of experience IT experience. I worked on Various BI Tools Like Power BI, SSIS, SSRS, Domo, Python and SQL like SQL server, My SQL, Redshift and Snowflake. Currently, I am working as Sr Data Analyst at First America India and also Providing On demand Training. Apart From Work I do create Training Videos on You Tube.
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