Is IBM: SQL for Data Science beginner friendly?

Yes, this course is designed for beginners. It covers foundational concepts and requires no prior advanced knowledge in the subject area.

How long does it take to complete IBM: SQL for Data Science?

The total duration of the course is approximately 4 weeks. Since it is generally self-paced, completion time depends entirely on your learning schedule and availability.

Does this course include hands-on projects?

Yes, the curriculum is highly practical and includes hands-on projects. Completing these will help you build a portfolio of work to demonstrate your new skills.

Do I get a certificate after completing IBM: SQL for Data Science?

Yes, a certificate of completion is included, which you can add to your professional profile or resume to showcase your newly acquired skills.

What careers is this course relevant for?

The skills taught in this course are highly relevant for professionals pursuing roles within Business & Management and adjacent technical fields looking to upskill.

Business & Management

IBM: SQL for Data Science

Name: IBM: SQL for Data Science
Price: 8217 INR
Availability: InStock
Rating: 4.3 (27 reviews)

Learn how to use and apply the powerful language of SQL to better communicate and extract data from databases - a must for anyone working in the data science field.

Beginner FriendlyCertification IncludedSelf-Paced LearningHands-On Learning

Reviews ( 27 )

₹8217

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🧠 Recommended for beginners

⚠ Not ideal for advanced users

Learning Journey Context

This course serves as an entry point into Business & Management, building foundational knowledge before moving on to advanced frameworks or specialized paths.

Career Relevance

Relevant for: Data Scientist, Data Analyst, Machine Learning Engineer.

Quick Facts

4 weeks

IBM

Beginner

Self-Paced Online

Online Course

edx

English

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What You’ll Learn

Please Note: Learners who successfully complete this IBM course can earn a skill badge — a detailed, verifiable and digital credential that profiles the knowledge and skills you’ve acquired in this course. Enroll to learn more, complete the course and claim your badge!

Much of the world's data lives in databases. SQL (or Structured Query Language) is a powerful programming language that is used for communicating with and extracting various data types from databases. A working knowledge of databases and SQL is necessary to advance as a data scientist or a machine learning specialist. The purpose of this course is to introduce relational database concepts and help you learn and apply foundational knowledge of the SQL language. It is also intended to get you started with performing SQL access in a data science environment.

The emphasis in this course is on hands-on, practical learning. As such, you will work with real databases, real data science tools, and real-world datasets. You will create a database instance in the cloud. Through a series of hands-on labs, you will practice building and running SQL queries. You will also learn how to access databases from Jupyter notebooks using SQL and Python.

No prior knowledge of databases, SQL, Python, or programming is required.

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Outcomes

Explain fundamentals of databases and relational database management systems (RDBMS).
Execute basic SQL queries using SELECT, INSERT, UPDATE, and DELETE.
Use string patterns and ranges to query and filter data.
Sort and group data in result sets and use built-in database functions.
Query multiple tables and compose nested SELECT statements and sub-queries.
Analyze data in a database using Python and Jupyter Notebooks.