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SQL for Data Science

A comprehensive course on SQL using practical examples and calculations. This course is highly suited for beginners

12 weeks long course | 100% Online

Learn from leading experts in the industry

Project based learning with 2 industry level projects that learners can showcase on LinkedIn.

Learn Key Tools & Technologies MySQL, Python, Anaconda

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This course is full of best-in-class content by leading faculty and industry experts in the form of videos and projects

Course Overview

  • This course is designed to help you grasp SQL in the aspects of data science
  • In this course, SQL is explored from the beginning to the end in order to fully leverage the tool's capabilities in the data science domain
  • SQL is a wonderful weapon to dig into the information stored in data.

Course Syllabus

On a daily basis we talk to companies in the likes of Tata Elxsi and Mahindra to fine tune our curriculum.

Week - 01 Introduction

  • In this session, we will learn about:
    • Introduction to Data Science
    • Applications of Data Science
    • Why is SQL required for Data Science?
    • Database Management System (DBMS)
    • Relational Database Management System (RDBMS)
    • Basic terminology in RDBMS
    • Data Constraints
    • Entity Relationship Model
    • What is SQL?
    • Categories of SQL Commands
    • Hands on executing simple SQL statements on RDBMS tool

Week - 02 Database Creation and Manipulation

  • In this session, we will learn about:
    • Detailed SQL Data types
    • Creating database
    • Create Table
    • Using Constraints
    • Insert Table
    • Altering Table structure
    • Dropping Database and Table
    • Delete and Update
    • Hands on importing sample database schema

Week - 03 Database Selection

  • In this session, we will learn about:
    • Select statement
    • Removing Duplicates Use of Alias
    • Use of Where
    • Use of Wildcards
    • Limit clause
    • Arithmetic Operators
    • Mathematical Functions
    • Hands on creating backups and restore for large database

Week - 04 Database Selection

  • In this session, we will learn about:
    • Generating Strings
    • String Functions
    • Date Functions
    • Conversion Functions

Week - 05 Database Selection

  • In this session, we will learn about:
    • Comparison Operators
    • Logical Operators
    • Order By
    • Group By
    • Aggregate Functions
    • Using aggregate functions with Group by clause
    • Union Operator
    • Sub-query 

Week - 06 Querying Multiple Tables

  • In this session, we 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 

Week - 07 Data Exploration

  • In this session, we will learn about:
    • What is Data Exploration?
    • Structure of Data
    • Understanding the E-R Diagram
    • How to Use SQL for Data Exploration
    • Significance of
      • Joins
      • Sub queries
      • Inbuilt functions
    • Other important capabilities of SQL for data exploration
    • Hands on demonstration 
    • Working with NULL values
    • Making trends in Data
    • Identifying Outliers
    • Creating Data Summary

Week - 08 Index, View, Transaction

  • In this week's session, we 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

Week - 09 Querying with Conditions

  • In this week's session, we 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

Week - 10 Stored Procedures

  • In this week's session, we 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

Week - 11 Integrating SQL with Excel

  • In this week's session, we will learn about:
    • Hands on examples on:
      • Accessing MySQL data with MS Excel
      • Running SQL statements with Excel
      • Combining Excel and SQL statements for data representation

Week - 12 Integrating SQL with Python

  • In this week's session, we will learn about:
    • Hands on examples on:
      • Working with Python
      • Accessing SQL data with Python
      • Running basic SQL statements with Python
      • Running inbuilt python functions on SQL data

Our courses have been designed by industry experts to help students achieve their dream careers

Industry Projects

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 the User’s Behavior of a C2C E-Commerce business. Analyzing the user’s database will help us understand the business perspective. The behavior of the users can be traced in terms of business with an exploration of the user’s database.

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

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

Our courses have been designed by industry experts to help students achieve their dream careers

Ratings & Reviews by Learners

Skill-Lync has received honest feedback from our learners around the globe.

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Control the World’s Big Problem—Learn SQL

Being a data scientist is your dream? The SQL for Data Science course covers all the SQL capabilities you need for data exploration. With each passing week, you will gain expertise in Syntax for SQL commands and a hands-on session on the RDBMS tool.

In the modern corporate world, Data Science as a tool is indispensable in providing data for result-oriented business decisions. With this SQL course, you can learn the art of extracting meaningful data and integrating it with programming languages, R and Python. It helps you overcome the ‘how to’ by focusing on getting the job done. Based on real-life dataset examples— the course starts teaching basic select commands before advancing to complex cursors.

Train yourself to interpret and analyze data with the SQL for Data Science certification course. It comes in three packages— Basic, Pro, and Premium only at Rs. 7000, Rs. 10,000, and Rs. 15,000 each for three months to give you two months, four months, and a lifetime’s access. 

Who Should Take the SQL for Data Science Course?

The number of job opportunities arising today for a data scientist is equivalent to the exponential rise of produced data. Students and IT, Software, and Marketing professionals can take part in this offline course. Apart from them, anyone who desires to learn Data Science, be it a fresher or a professional, can go for this course.

Even if you do not have any prior knowledge of SQL, you are eligible for the course provided you have logical and analytical skills. Business consultants and software programmers wanting a transition in their career can also opt for this course. Professionals working on reporting tools, data warehousing, and business intelligence who are keen on pursuing a career in Data Science are eligible for this SQL certification course.

The minimum requirement for this course is basic high school level knowledge of Database Management Systems.

What Will You Learn?

The course will explain the meaning, relationship, and structure of raw data and how to use SQL to shape it for analysis. It includes two real-time projects and will cover topics like SQL Basics, differences between DBMS and RDBMS, Understanding of E-R diagrams, integrating SQL with Python and Excel, Joins, and more.

The topics in this course assist you in exploring and analyzing the data effectively to create queries that are compact and efficient. The hands-on experience will provide an added advantage of being able to practice structured queries. It gives you a chance to manipulate numeric, strings, and date data types with the aid of functions to blend data from multiple sources into fields of the correct format for analysis.

This is a perfect place to find all the various operators like arithmetic, strings, logic, comparison, and aggregates in a single SQL course. The hands-on aspects of the course teach you all the uses of a specific function or constraint, making any difficult query look like a piece of cake.

Skills You Will Gain

  • Learn to create simple yet complex queries. 
  • Integration of Excel with SQL to deal with real-world entities.
  • Combination of Python with SQL to implement real-world problems.
  • Move from basic to advanced queries.
  • Learn more about null values.
  • Learn how to create sub-queries and the important types of joins.

Key Highlights of the Program

  • A merit certificate will be provided to the top 5% of the class. A SQL course completion certificate is given to all learners. 
  • It is Upskill to work in the corporate world in just three months. After this course, the transition from writing basic queries to effortless complex queries will be seamless. 
  • It helps build a professional portfolio and create an E-verified profile to link to LinkedIn.
  • The hands-on assignments and real-world cases help you gain an industry-like experience.

Career Opportunities after Taking the Course

There is a rapid growth of data, and dealing with such huge amounts of data poses a problem. SQL is considered one of the most important skills one must have to enter into a career in Data Science. This SQL certification course is one of the best for those who want to specialize in Data Science, Data Analytics, or any related field. If you're skilled in SQL, you can land the following jobs:

  • SQL Server Analyst: To create and maintain the database. Experienced professionals develop optimized queries for faster and natural server performance.
  • Database Administrators: Update the server functionality by installing, updating, and repairing the database.
  • Business Data Analyst: They work with SQL developers within the organization to analyze data and make winning decisions. 
  • Database Designer: Digital architects to understand the patterns to access data efficiently and quickly.  
  • Data Scientist: Professionals well versed in SQL to store and analyze customer and industry-related data.

FAQs on SQL for Data Science

1. What are the prerequisites for joining this course?

A basic understanding of SQL is necessary.

2. 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.

3. 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.

4. 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.

5. 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.

6. 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. 

Instructors profiles

Our courses are designed by leading academicians and experienced industry professionals.


1 industry expert

Our instructors are industry experts along with a passion to teach.


12 years in the experience range

Instructors with 12 years extensive industry experience.


Areas of expertise

  • Full Stack development
  • SQL

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