SQL for Data analysis
SQL for Data analysis
Welcome to the SQL Course at Infodemy360 Academy! Are you ready to unlock the power of databases and revolutionize your data management skills? In this course, you'll embark on a journey into the world of Structured Query Language (SQL), the cornerstone of managing and manipulating data in relational databases. Whether you're a beginner looking to grasp the fundamentals or an experienced professional aiming to enhance your expertise, our comprehensive curriculum covers everything from basic queries to advanced database operations. Get ready to dive deep into SQL syntax, database design principles, and practical hands-on exercises that will equip you with the tools to confidently navigate databases and extract valuable insights. Join us and take your first step towards mastering the language of data!
SQL, or Structured Query Language, is a powerful tool for data analysis that allows users to interact with relational databases. It provides a standardized way to retrieve, manipulate, and manage data stored in databases, making it an essential skill for anyone working with data. SQL enables users to write queries to extract specific information from databases, perform calculations, filter data, join multiple tables together, and aggregate data to generate meaningful insights. Its simplicity, flexibility, and widespread adoption across various database management systems make SQL a fundamental language for data analysts, providing them with the means to efficiently analyze and interpret data to drive informed decision-making.
**********Course Modules**********
Module 1 -
Application Of SQL In Data Analysis
Types Of SQL Language and Overview
Different types of RDBMS
How to Install SQL Workbench
Overview Of SQL Work Bench
Types Of SQL Language
SQL Data Types
SQL Operators
Basic SQL Commands
Practice SQL Command Using Sample Data Set
Intermediate SQL Commands
SQL Joins
SQL Sub Queries
Windows Function
Import Bulk Data Into SQL
Practice SQL with sample dataset
Training Mode: Online
Data Analysis Course Brochure : Click Here
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