Computer Science · Course

SQL for Data Science

With the SQL certification course, learn to handle structured databases essential for data science applications. Our industry experts will teach you data extraction and data exploration, which is the initial step for data visualisation through the SQL for data science course.

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Duration: 12 weeks
Content: 22 hours
Projects: 2
Mode: Online
Fee: ₹40,000

Overview

What you'll
be able to do.

Structured Query Language, or SQL, is used to manage and interface with relational databases. All industries operate on versatile databases that hold their information. With SQL, data can be accessed, manipulated, stored, and extracted efficiently. For data scientists and other professionals in the field, knowledge on SQL is mandatory to working with structured data.

This course will provide students with an elaborate understanding of the following:

Database Management System (DBMS)
Relational Database Management System (RDBMS)
Database creation, manipulation, selection, exploration
Querying multiple tables
Index, view, transaction
Querying with conditions
Stored procedures
Integrating SQL with Excel and Python

Throughout this course, students will get to complete challenges and projects that require extensive handling of structured data.

Who can enrol in this course?

Engineering graduates and working professionals with a background in similar fields.

Tools you'll use

MySQLPythonAnaconda

Curriculum

12 modules,
built with industry.

01SQL for Data Science12 modules
1. IntroductionW01
  In this week, students will learn about
  - Data Science: Introduction
  - Data Science Applications
  - Why SQL is required for Data Science
  - Database Management System (DBMS)
  - Relational Database Management System (RDBMS)
  - Basic terminology in RDBMS
  - Data Constraints
  - Entity Relationship Model
  - What SQL is
  - Categories of SQL Commands
  - Hands-on execution of simple SQL statements on RDBMS tool
2. Database Creation and ManipulationW02
  In this week, students will learn about
  - Detailed SQL Data types
  - Creating databases
  - Create Tables
  - Using Constraints
  - Inserting Table
  - Altering Table structure
  - Dropping Database and Table
  - Deleting and Updating
  - Hands-on importing of sample database schema
3. Database SelectionW03
  In this week, you will learn about
  - Select statements
  - Removing Duplicate use of Alias
  - Use of Where
  - Use of Wildcards
  - Limit clause
  - Arithmetic Operators
  - Mathematical Functions
  - Hands-on creating of backups and restore for large database
4. Database SelectionW04
  In this week, students will learn about
  - Generating Strings
  - String Functions
  - Date Functions
  - Conversion Functions
5. Database SelectionW05
  In this week, students will learn about
  - Comparison Operators
  - Logical Operators
  - Order By
  - Group By
  - Aggregate Functions
  - Using aggregate functions with Group by clause
  - Union Operator
  - Sub-query
6. Querying Multiple TablesW06
  In this week, students will learn about
  - The need to Join Multiple Tables
  - Cartesian Product
  - Inner Join
  - Left Join
  - Right Join
  - Self Join
  - Delete Join
  - Update Join
  - Hands-on demonstration of joining more than two tables in a sample database
7. Data ExplorationW07
  In this week, students will learn about
  - What Data Exploration is
  - Structure of Data
  - Understanding the E-R Diagram
  - How to Use SQL for Data Exploration
  - Significance of
  - Other important capabilities of SQL for data exploration
  - Hands on demonstration
  - Working with NULL values
  - Making trends in Data
  - Identifying Outliers
  - Creating Data Summary
8. Index, View, TransactionW08
  In this week, students will learn about
  - Creating Index
  - Use of Index
  - Type of Index and Ine
  - X Strategies
  - Views
  - Views for Data Analysis
  - Multi-user database
  - What is Transaction
  - Save points
  - Hands-on working on Multi user database environment
9. Querying with ConditionsW09
  In this week, students will learn about
  - Querying with Conditions
  - The Searched Case Expression
  - The Simple Case Expression
  - Applications of Case Expression
  - Common Error Codes
  - Hands-on working with Json type data
10. Stored ProceduresW10
  In this week, students will learn about
  - Stored Procedures for Data Analysis
  - Creating Stored Procedures
  - Removing Stored Procedures
  - Altering Stored Procedures
  - Conditional Statements
  - Loops
  - Hands-on working with cursors
11. Integrating SQL with ExcelW11
  In this week, you will get a hands-on understanding of the following
  - Accessing MySQL data with MS Excel
  - Running SQL statements with Excel
  - Combining Excel and SQL statements for data representation
12. Integrating SQL with PythonW12
  In this week, you will get a hands-on understanding of the following
  - Working with Python
  - Accessing SQL data with Python
  - Running basic SQL statements with Python
  - Running inbuilt python functions on SQL data

Industry projects

2 projects
you'll ship.

Our projects are designed by experts in the industry to reflect industry standards. By working through our projects, Learners will gain a practical understanding of what they will take on at a larger-scale in the industry. In total, there are 2 Projects that are available in this program.

C2C E-Commerce User’s Behaviour Analysis

In this project, students are expected to analyze user behavior in a C2C E-Commerce business. Analyzing the user’s database will help understand the business perspective. The…

Analyzing the choice of career for the Alumni of Engineering College.

In this project, students are expected to analyze the career choices of alumni from an institution based on given data.

Go further

Part of a PG program.

PG program · 24 weeksData Science and Machine LearningThis course plus 5 others, with placement support.→PG program · 24 weeksData Analytics and Data ScienceThis course plus 8 others, with placement support.→PG program · 16 weeksPre-Graduate Program in Data Analytics and Data ScienceThis course plus 3 others, with placement support.→

Fee

One fee.
Everything included.

Become job ready with our comprehensive industry focused curriculum for freshers & early career professionals

Premium

₹40,000

Inclusive of all charges

1 Year Access
Personalized Page
Live Individual & Group Sessions
Personalized & Hands-On
Job-Oriented Industry Relevant Curriculum

Check eligibility →

FAQ

Questions,
answered.

What are the prerequisites for joining this course?

Interested students and graduates in computer science and related engineering domains cap opt for SQL training.

Should all data scientists know SQL?

Yes, SQL is the most essential language for a data scientist. It is SQL that helps in processing, analyzing, and interpreting the data effectively.

What will you learn from this course?

To create simple, plain, and meaningful queries instead of complex ones.
Difference between DBMS and RDBMS.
Use of and the difference between various constraints and functions.
Creation of effective procedures.

What is the need for SQL in Data Science?

Data Science is concerned with large amounts of data that must be stored in databases. SQL is required to function efficiently on a database with such large amounts of data. With the use of simple, short queries, SQL is quite successful in producing results.

How difficult is it to master SQL?

SQL is a language that is very similar to the English language. A person without any prior knowledge of programming can easily understand and learn SQL.

How long is it going to take you to master SQL?

As it is a pretty simple language, you can master it in 2-3 months. But it also depends on the tutor, the way he teaches, and the pace at which the learner can grasp the knowledge.

You might also like.

PG program · 24 weeksData Science and Machine Learning→PG program · 24 weeksData Analytics and Data Science→PG program · 16 weeksPre-Graduate Program in Data Analytics and Data Science→Course · 12 weeksMachine Learning Fundamentals In Depth→Course · 12 weeksMath behind Machine Learning & Artificial Intelligence using Python→Course · 12 weeksIntroduction to Machine Learning Algorithms and their Implementation in Python→

Next step

Not sure it's
the right fit?

A counsellor will walk you through the syllabus, projects and fee options — and tell you honestly if another course suits you better.

₹40,000Course

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SQL for Data Science

What you'llbe able to do.

12 modules,built with industry.

2 projectsyou'll ship.