Basics of SQL

This course provides an in-depth understanding of Basics of SQL. It covers data modeling, database structure planning, creating and populating tables, and mastering querying techniques including SELECT statements, joins, CTEs, and window functions. Practical projects and troubleshooting strategies are included to apply learned skills.

Duration

12 Hrs

Course level

Beginner

Modules

Certificate

Included

Students Enrolled : 2600+

Key Features of the course

Plan database structures.

Create and populate tables.

Master SELECT queries.

Join tables effectively.

Utilize window functions.

What you`ll Learn

Introduction to SQL: Why Learn SQL

Importance of SQL: Understand why SQL is crucial for data management and analysis.
SQL in Data Science: Learn about the role of SQL in data science and its applications.
Course Overview: Get an overview of the course structure and key learning objectives.

Data Modeling: Planning Database Structure and Tables

Database Design Principles: Learn the fundamental principles of designing a robust database structure.
Entity-Relationship (ER) Diagrams: Understand how to create and interpret ER diagrams for database planning.
Normalization: Discover techniques for normalizing databases to ensure data integrity and efficiency.

Creating Databases: Creating Tables and Inserting Data

Database Creation: Learn how to create databases and define their structure.
Table Creation: Understand how to create tables within a database, specifying columns and data types.
Data Insertion: Explore various methods for inserting data into tables, ensuring accuracy and consistency.

Querying Databases: Using SELECT Statement

Basic SELECT Queries: Learn how to write basic SELECT queries to retrieve data from databases.
Filtering and Sorting Data: Understand how to use WHERE clauses, ORDER BY, and other filtering techniques.
Aggregate Functions: Explore the use of aggregate functions like COUNT, SUM, AVG, MIN, and MAX in SELECT queries.

Querying Databases: Joining Tables and Common Table Expressions (CTEs)

Joins: Learn how to use various types of joins (INNER, LEFT, RIGHT, FULL) to combine data from multiple tables.
Common Table Expressions (CTEs): Understand the use of CTEs for creating temporary result sets and simplifying complex queries.
Subqueries: Discover how to write subqueries to retrieve data based on conditions in another query.

Querying Databases: Using Window Functions

Introduction to Window Functions: Learn the basics of window functions and their applications.
Ranking Functions: Understand how to use ranking functions like ROW_NUMBER(), RANK(), and DENSE_RANK().
Aggregate Functions with PARTITION BY: Explore the use of window functions to perform calculations across specific partitions of data.

Skills you’ll gain

Fundamentals of SQL

Database Structure Planning

Table Creation and Data Insertion

Mastering SELECT Statements

Joining Tables

Using Common Table Expressions (CTEs)

Window Functions Expertise

Data Modeling Techniques

Troubleshooting SQL Queries

Practical Data Science Projects

Get certified

Upon successful completion of this course, you will receive a certificate from Hero Vired. This certificate, backed by Hero Group’s decades of research in Indian education, places you in an elite league of professionals. It validates your proficiency in Basics of SQL, enhancing your career prospects and demonstrating your commitment to professional growth in data management and analysis.

Frequently Asked Questions

What prerequisites are required to learn the SQL for Data Science course?

You do not need any prerequisite knowledge for the "SQL for Data Science" course at Hero Vired. The course is designed with beginners in mind.

How long does it take to complete this free SQL for Data Science course?

This course takes 12 hours to complete. It’s divided into 12 modules and allows you to learn at your own pace.

Will I have lifetime access to this free course?

Once you enrol in the “SQL for Data Science” course at Hero Vired, it’s yours for life. There is no rush, no deadlines, just learning at your speed. You can revisit the material anytime, even after you’ve completed it.

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