SQL for Data Analytics

Leverage data to extract useful business insights through data analytics using SQL

  • Understand the basics of relational databases and SQL 
  • Learn how to analyze data from multiple relational databases 
  • Use MySQL to perform thorough data analytics 
  • 350,000 + Professionals trained
  • 250 + Workshops every month 
  • 100 + Countries and counting 

Use Advanced Data Analytics with SQL

SQL is a critical tool for any professional in the field of data analytics, especially when dealing with relational databases. Learn one of the most in-demand languages that can interact with relational databases. SQL for Data Analytics focusses on developing your skills of using SQL and improving your understanding of how relational databases work.

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  • 24 Hours of Live, Interactive, Trainer-Led Sessions 

  • 55 Quizzes and 184 Questions to Practice 

  • 9+ Hours of Hands-on Training with SQL 

  • 37 Guided Exercises to Learn Data Analytics 

  • Projects that Replicate Work-like Environments 

  • Curriculum Updated by Industry Experts  

Advance as a Data Analyst with SQL

Data has become a crucial resource in most businesses today. Any business that needs to maintain a competitive edge must find a way to use data and make data driven decisions that are timely and accurate. Advance your career in data analytics by equipping yourself with expertise in SQL and learn the different SQL features that are used in data analytics.

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Advance as a Data Analyst with SQL

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The KnowledgeHut Advantage

The most effective project-based immersive learning experience

Immersive Learning

  • On-demand videos
  • Guided hands-on exercises
  • Auto-graded assessments and recall quizzes
  • Assignments and projects

Learn by Doing

  • Learn to code. By actually coding.
  • Get project-ready with work-like experiences.
  • Learn on the job, like devs in tech companies.

Cloud Labs

  • Access fully provisioned dev environment.
  • Virtual machine spinned up in minutes.
  • Write code right in your browser.


  • Get advanced learner insights.
  • Measure and track skills progress.
  • Identify areas to improve in.

Blended Learning

  • On-demand, self-paced learning anytime.
  • Code review sessions by experts.
  • Access to discussion forums, community groups.


  • Prior knowledge of descriptive statistics is required to take this course 

Who Should Attend the Course

Data scientists

Software engineers

Data analysts

Database administrators

Aspiring data professionals

Professionals interested in working with data

Course Schedules

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What You Will Learn

Relational Databases

Understand what a relational database is and how data is organized in a relational database 


Learn how a relational database can allow for efficient data storage and retrieval 

Data Types

Understand the main objects that a relational database can store and its uses 


Learn how schemas or collections of database objects provide structure to the database 


Understand the database management system that interacts with the MySQL database 

Problem Solving

Solve complex business problems using SQL tools to combine, compare, and extract data 

Skills You Will Gain

Understanding objects in relational databases

Using MySQL workbench

Performing basic SQL queries

Running commands, clauses, and operations

Filtering data in SQL

Understanding database structures

Combining data from multiple tables

Analysing big data sets in SQL

Transform Your Workforce

Leverage Business Data to Solve Business Problems

Train your data analytics team to use SQL to make sense of business data by comparing and combining data from different databases and drive better outcomes with informed decision-making.

  • Leverage Immersive Learning  
  • Get Your Teams Project-Ready 
  • Align Skill Development to Your Most Important Objectives 
  • Get Customized Corporate Training Programs 

500+ Clients



  • Course introduction 
  • What is a relational database? 
  • The relational database model 
  • Tables, data types, and constraints 
  • What is SQL? 
  • Schemas 
  • Database objects 
  • Introduction to MySQL Workbench 

  • Overview of the employees data model 
  • SQL commands 
  • SELECT statement 
  • SQL operations and clause 
  • Filtering records using the WHERE clause 
  • Introduction to SQL functions 

  • Introduction to data analysis using SQL 
  • Introduction to understanding SQL and its importance 
  • What and why of SQL 
  • What is a Query? 
  • Use of SQL in the Industry 
  • Introduction to MySQL 


  • Introduction to SQL database admin 
  • Introduction and tour of MySQL Workbench 
  • SQL syntax -best practices 
  • Create a database in MySQL 
  • Create a table in a database 
  • SHOW and DROP command in SQL 
  • INSERT INTO command in SQL 


  • Introduction to the basics of SQL 
  • Getting the dataset 
  • Table data import wizard 
  • SELECT * FROM statement in SQL 
  • LIMIT statement in SQL 
  • Aliases in SQL 


  • Introduction to filtering data using WHERE clause in SQL
  • ORDER BY in SQL 
  • WHERE clause in SQL 
  • AND, OR, and NOT operators in SQL 
  • IN operator in SQL 
  • LIKE operator in SQL 


  • Introduction to aggregation and summary functions in SQL 
  • COUNT function in SQL 
  • MIN and MAX functions in SQL 
  • SUM function in SQL 
  • AVG function in SQL 
  • GROUP BY function in SQL 


  • Introduction to miscellaneous analysis in SQL 
  • CAST function in SQL 
  • Date and time datatypes 
  • CONCAT function in SQL 
  • Histogram in SQL 
  • REPLACE function in SQL  


  • Introduction to table-to-table relationship in SQL 
  • Relationships in SQL 
  • Keys in SQL 
  • Entity Relationship Diagram (ERD) 


  • Introduction to combining tables 
  • JOIN clause in SQL 
  • UNION clause in SQL 


  • Introduction to advance SQL data analysis 
  • CASE statement in SQL 
  • HAVING clause in SQL 
  • WINDOW functions in SQL 
  • RANK function in SQL 
  • Moving averages in SQL 
  • Regular expressions in SQL 


  • Introduction to making efficient analysis 
  • Temporary tables in SQL 
  • Views in SQL 
  • SQL indexes 
  • Stored procedures in SQL 
  • Normalizing a database 

FAQs on SQL for Data Analytics

SQL for Data Analytics Training

This training is designed to help you to understand SQL and how to use it for data analytics. SQL for data analytics course duration consists of 24 hours of instructor led training. You will start by learning the basics of SQL and how to perform data analytics while dealing with a relational database. You will also learn how to combine data from different relational databases.

In this course you will also learn advanced data analytics you could perform using SQL. 

SQL for data analytics course syllabus covers many SQL skills for data analytics including learning how to: 

  • Use MySQL Workbench 
  • Run SQL queries 
  • Run SQL commands 
  • Filter data in SQL 
  • Combine data from multiple tables 
  • Analyze big data sets 


By the end of this course, you would have gained knowledge of how to work with SQL for Data Analytics. You will develop skills to work with relational databases and extract meaningful information by analyzing multiple databases. This is a skill that is valuable for any organization as intelligent data analytics helps  an organization take better informed decisions.  

SQL for data analytics course eligibility requires candidates to have a basic understanding of descriptive statistics like average, sum, minimum, maximum etc. 

Yes, KnowledgeHut offers SQL for data analytics training online. 

On successful completion of the course, you will receive a course completion certificate issued by KnowledgeHut. 

Your instructors are experts in Data Science and analytical tools like SQL with many years of industry experience. 

SQL is the language most used to interact with relational databases. Since many leading organizations use relational databases there is a huge demand for professionals skilled in SQL and data analytics. 

Yes, SQL is essential for data analysts who intend to work with relational databases. It is the preferred language that data analysts use when dealing with data that is available in a table format.  

There are several SQL for data analytics certifications available by various training providers. The best SQL certification for data analysts will depend on the job requirement, job role, and skill set among other factors. 

Yes, SQL can be used in data analytics, and it is used very often in data analytics when dealing with data in relational databases.  

SQL is used to extract data from relational databases. It is an extremely popular tool widely used in data analysis. 

SQL is suited for retrieving data from a relational database or multiple relational databases. It is user friendly, and it has a range of queries with which one cannot just retrieve data, but also define, manipulate, and control data. 

You should first gather an understanding of how relational databases are set up and then learn about how SQL works and how best to use it and know when not to use it. To become a true master of SQL for data analysis you will need to practice what you learn in real projects with real data. 

Workshop Experience

Currently all our courses are offered online as Live, interactive, trainer-led sessions where you will get to learn directly from the trainer with opportunities to discuss and clear doubts. 

Our instructors are experts who lead these sessions. They also have hands-on experience and will be able to tell you the practical aspects of what you are learning. The program will help you master SQL for Data Analytics.  

Our SQL for Data Analytics classes are delivered through live interactive virtual classrooms and can be structured according to the requirements of the course. The course duration is 24 hours of live classes.

Our training focuses on interactive learning. Most class time is dedicated to hands-on exercises, lively discussions, and team collaboration, all facilitated by the trainer who is an experienced expert. The focus is on finding practical solutions to real-world scenarios in various project environments, both big and small. 

In an online classroom, students can log in at the scheduled time to a live learning environment that is led by an instructor. You can interact, communicate, view, and discuss presentations, and engage with learning resources while working in groups, all in an online setting. Our instructors for the course use an extensive set of collaboration tools and techniques which improve your online training experience. 

Internet Connectivity (2Mbps Link) and Minimum Requirements: A laptop or desktop with 12 -16GBof RAM, Intel Core i5, 64-bit operating system.  You should also have MySQL, MySQL Workbench, and a web browser such as Google Chrome, Microsoft Edge or Firefox. 

Yes, you can switch your start date for the course with prior notice of at least 24 hours and subject to availability in the desired batch. 

What Learners Are Saying

Madeline R Front-End Developer

I know from first-hand experience that you can go from zero and just get a grasp on everything as you go and start building right away. 

Attended Full-Stack Development Bootcamp workshop in July 2022

Lea Kirsten Senior Developer

The learning methodology put it all together for me. I ended up attempting projects I’ve never done before and never thought I could. 

Attended Back-End Development Bootcamp workshop in July 2021

Ben Johnson Developer

The Backend boot camp is a great, beginner-friendly program! I started from zero knowledge and learnt everything through the learn-by-doing method. 

Attended Back-End Development Bootcamp workshop in July 2021

Emma Smith Front-End Engineer

KnowledgrHut’s Front-End Developer Bootcamp helped me acquire all the skills I require. The learn-by-doing method helped me gain work-like experience and helped me work on various projects. 

Attended Front-End Development Bootcamp workshop in May 2021

Rubetta Pai Front End Developer

I am glad to have attended KnowledgeHut's training program. Really I should thank my friend for referring me here. I was impressed with the trainer who explained advanced concepts thoroughly and with relevant examples. Everything was well organized. I would definitely refer some of their courses to my peers as well.

Attended PMP® Certification workshop in May 2020

Tilly Grigoletto Solutions Architect.

I really enjoyed the training session and am extremely satisfied. All my doubts on the topics were cleared with live examples. KnowledgeHut has got the best trainers in the education industry. Overall the session was a great experience.

Attended Agile and Scrum workshop in February 2020

Meg Gomes casseres Database Administrator.

The Trainer at KnowledgeHut made sure to address all my doubts clearly. I was really impressed with the training and I was able to learn a lot of new things. I would certainly recommend it to my team.

Attended PMP® Certification workshop in January 2020

Felicio Kettenring Computer Systems Analyst.

KnowledgeHut has excellent instructors. The training session gave me a lot of exposure to test my skills and helped me grow in my career. The Trainer was very helpful and completed the syllabus covering each and every concept with examples on time.

Attended PMP® Certification workshop in May 2020