6 SQL Courses to Master Data Querying for Aspiring Analysts

6 SQL Courses to Master Data Querying for Aspiring Analysts

8 mins readComment
Rashmi
Rashmi Karan
Manager - Content
Updated on Aug 21, 2024 14:24 IST

The demand for data professionals globally is at an all-time high. With approximately 11 million jobs for data professionals in India alone by 2026, data querying expertise is needed more than ever. SQL, or Structured Query Language, is the standard language for interacting with databases, allowing data analysts to extract and manipulate data effectively. This blog lists six handpicked online SQL courses to help you learn data querying and analysis. But before that, you should know how learning SQL can help you in your data analytics career.

Top SQL Courses

Benefits of Learning SQL for Aspiring Data Analysts

  1. SQL is a highly sought-after skill in the job market, with over 97% of businesses investing in data. Learning SQL can significantly boost your marketability as a data analyst, making you a more attractive candidate for various data-related roles.
  2. SQL provides a solid foundation for understanding other programming languages like C++, JavaScript, and Java. The skills you learn in SQL can be easily translated into many different career fields.
  3. Users can perform countless tasks with databases using SQL, such as creating structural databases, managing databases for scalable growth, and interacting with other programming languages like PHP. It lets you go beyond basic pre-built reports and customize your data analysis.
  4. SQL has applications in various industries, including healthcare, finance, retail, and e-commerce. It is the primary language used for managing data in databases, which is essential for businesses to store and analyze their data.

Let us explore these handpicked SQL courses - 

  1. Introduction to Databases and SQL Querying
  2. The Complete SQL Bootcamp: Go from Zero to Hero
  3. Introduction to Structured Query Language (SQL)
  4. The Structured Query Language (SQL)
  5. SQL for Data Science
  6. Databases and SQL for Data Science with Python
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1. Introduction to Databases and SQL Querying

The "Introduction to Databases and SQL Querying" course on Udemy is a free tutorial for beginners that provides a comprehensive step-by-step introduction to the concepts of databases and SQL querying. The course covers essential topics to help learners understand database management systems and fundamental SQL querying techniques.

Course Highlights 

Course Name 

Introduction to Databases and SQL Querying

Duration

2 hours

Provider

Udemy

Trainer

Rakesh Gopalakrishnan: A coder, manager, educator and gamer.

Skills Gained 

Query a database, Create Tables and Databases and be proficient with basic SQL querying.

Students Enrolled

565,000+

Total Reviews

47,789 ratings (4.5/5) 

Why Choose Introduction to Databases and SQL Querying?

  • No enrollment fee.
  • Covers foundational topics in databases and SQL.
  • On-demand videos allow self-paced study.
  • Focus on real-world SQL applications.
  • Learners can engage with peers and the instructor for assistance.

Course Curriculum

  • Introduction to Databases and Set-Up
  • Installing / Setting up Environment / SQL Management Studio
  • Introduction to Querying
  • Creating your First SQL Table
  • Installing Sample Database (Adventure Works) and Querying
  • SQL Joins
  • TSQL Date Functions
  • TSQL Aggregation and String Functions

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2. The Complete SQL Bootcamp: Go from Zero to Hero

This comprehensive course is designed for both beginners and seasoned professionals. The Complete SQL Bootcamp will help you learn how to query, manipulate, and analyze databases using SQL. You will gain practical skills in SQL syntax, data analysis, and report generation. By the end of this course, you will be able to apply SQL in various environments.

Course Highlights 

Course Name 

The Complete SQL Bootcamp: Go from Zero to Hero

Duration

9 hours

Provider

Udemy

Course Fee

Original Price Rs. 3,499 (Currently available at a discounted price of Rs. 499)

Trainer

Jose Portilla: Head of Data Science at Pierian Training

Skills Gained 

Basics of PostgreSQL and PgAdmin, SQL syntax, common SQL JOIN commands, create tables and databases with constraints on data entries, use of logical operators to add logic flow to SQL queries

Students Enrolled

838,000+

Total Reviews

4.6/5 (211413 ratings)

Why Choose The Complete SQL Bootcamp?

  • The course is designed for beginners; no prior technical experience is needed.
  • Learn SQL through practical examples and real-world situations.
  • Skills applicable to SQL databases like MySQL, Microsoft SQL Server, etc.
  • Receive a Certificate of completion upon finishing the course.
  • Course developer has a strong background in Data Science.

Course Curriculum

  • Introduction to SQL  
  • SQL Statement Fundamentals
  • JOINS  
  • GROUP BY Statements 
    • Assessment Test 
  • Advanced SQL Commands 
    • Assessment Test 
  • Creating Databases and Tables  
    • Assessment Test
  • Conditional Expressions and Procedures

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3. Introduction to Structured Query Language (SQL) 

Introduction to Structured Query Language (SQL) is a free course that covers the basics of SQL, including single table queries and syntax. Additionally, you will explore database design with multiple tables, foreign keys, and JOIN operations. Learn how to install a text editor and set up MAMP or XAMPP tools for running a local server. 

Course Highlights 

Course Name 

Introduction to Structured Query Language (SQL) 

Duration

4 weeks

Provider

University of Michigan

Trainer

Charles Severance: Clinical Professor, School of Information

Skills Gained 

Phpmyadmin, MySQL, Relational Database, & SQL

Students Enrolled

225,000+

Total Reviews

4393 ratings & Rating (e.g. - 4.8/5) 

Why Choose Introduction to Structured Query Language Course?

  • Includes a walkthrough of installation steps for a text editor, MAMP/XAMPP, and MySQL Database.
  • Covers single table queries and the basic syntax of SQL.
  • Teaches database design with multiple tables, including foreign keys and the JOIN operation.
  • Duration of 4 weeks with a high rating of 4.8 based on 4,393 ratings.

Course Curriculum

  • Installing PHP and SQL
  • Introduction to SQL
  • Database Design
  • Many-To-Many Relationships

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4. The Structured Query Language (SQL) 

The Structured Query Language (SQL) course will teach you all about SQL, including its origins and foundational concepts. The focus will be on standard SQL commands, their syntax, and their application for data analysis in relational databases. 

Course Highlights

Course Name

The Structured Query Language (SQL) 

Duration

4 weeks

Provider

University of Colorado Boulder on Coursera

Trainer

Alan Paradise: Teaching Professor, University of Colorado Boulder

Skills Gained

Database Application, Data Science, Database (DBMS), Database Administration, Standard SQL use and syntax, coding SQL queries to analyze data stored in relational databases.

Students Enrolled

50,000+

Course Rating

4.7/5 (664 reviews)

Why Choose The Structured Query Language (SQL) Course?

  • Covers fundamental to advanced SQL topics.
  • Hands-on projects and practical exercises to apply SQL skills.
  • Self-paced learning with quizzes and assignments.
  • Industry-recognized certificate upon completion.

Course Curriculum

  • Week 1: Introduction to SQL - Structured Query Language
  • Week 2: The Basic SELECT Statement
  • Week 3: Group Functions, SubTotals, and Subqueries
  • Week 4: Getting Data from Multiple Tables

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5. SQL for Data Science

This SQL for Data Science course is designed for beginners to learn SQL fundamentals and work with data. The course covers topics like data types, operators, case statements, data governance, and profiling.

Course Highlights

Course Name

SQL for Data Science

Duration

6 weeks

Provider

UC Davis

Trainer

Sadie St. Lawrence: Founder and CEO Women in Data (WID), University of California, Davis

Skills Gained

Data Science, Data Analysis, Sqlite, SQL

Students Enrolled

614,000+

Course Rating

4.6/5 (16,244 reviews)

Why Choose SQL for Data Science Course?

  • Designed to provide a foundational understanding of SQL and data handling.
  • Tailored for analyzing data specifically for data science purposes.
  • No prior knowledge or skills in SQL are required.
  • Gradually builds skills from basic to complex queries.
  • Involves writing queries to select data from tables and covers working with various data types, including strings and numbers.

Course Curriculum

  • Getting Started and Selecting & Retrieving Data with SQL
  • Filtering, Sorting, and Calculating Data with SQL
  • Subqueries and Joins in SQL
  • Modifying and Analyzing Data with SQL

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6. Databases and SQL for Data Science with Python

This course provides essential SQL knowledge for data professionals such as Data Scientists, Data Analysts, and Data Engineers, focusing on both foundational and advanced concepts. The course takers will learn to write SQL statements, filter result sets, and differentiate between DML and DDL. It includes practical experience with real databases in the cloud and culminates in a final project where learners will analyze multiple real-world datasets to showcase their skills.

Course Highlights

Course Name

Databases and SQL for Data Science with Python

Duration

20 hours

Provider

IBM on Coursera

Trainers

  • Rav Ahuja: CCO & Global Program Director, IBM, SkillUp EdTech
  • Hima Vasudevan: Data Scientist, IBM

Skills Gained

Python Programming, Cloud Databases, Relational Database Management System (RDBMS), SQL, Jupyter notebooks.

Students Enrolled

470,000+

Course Rating

4.6/5 (19,928 reviews)

Why Choose Databases and SQL for Data Science with Python Course?

  • Designed to provide a foundational understanding of SQL and data handling.
  • Tailored for analyzing data specifically for data science.
  • No prior knowledge or skills in SQL required.
  • Gradually builds skills from basic to complex queries.
  • Involves writing queries to select data from tables and covers working with various data types, including strings and numbers.

Course Curriculum

  • Getting Started with SQL
  • Introduction to Relational Databases and Tables
  • Intermediate SQL
  • Accessing Databases using Python
  • Course Assignment
  • Bonus Module: Advanced SQL for Data Engineering (Honors)

Other Alternatives

Here are some potential SQL course alternatives that you can consider for learning querying -

Conclusion 

We hope this blog helped you pick the right SQL course for yourself. We suggest you to select a course that aligns with your learning style and career goals. All these listed courses are highly rated and have helped many students to harness the power of SQL and advance in the growing field of data analysis. 

About the Author
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Rashmi Karan
Manager - Content

Rashmi is a postgraduate in Biotechnology with a flair for research-oriented work and has an experience of over 13 years in content creation and social media handling. She has a diversified writing portfolio and aim... Read Full Bio