Learn the power behind data manipulation for data sets stored in relational databases using SQL or structured query language – a fundamental skill for anyone in the data sciences.
The importance of data organization and manipulation in data science and related fields cannot be overstated. Learn the power behind data manipulation for data sets stored in relational databases using SQL or structured query language.
Anyone working in data science requires SQL skills. This fundamental skill allows you to find and extract the data you need in your analyses. This course introduces you to relational database concepts and how to query these databases using SQL so you can obtain the data you need. The course also teaches you how to use SQL in a data science environment.
The many labs and projects in this course emphasize a hands-on approach so you finish the course with practical, applicable skills. After taking this course you can showcase your new SQL skills with the tangible assets from these labs and project to showcase potential employers.
This course comprises five purposely designed modules that take you on a carefully defined learning journey.
It is a self-paced course, which means it is not run to a fixed schedule with regard to completing modules. It is anticipated that you will complete the course in 20 hours. However, as long as the course is completed by the end of your enrollment, you can work at your own pace. And dont worry, youre not alone! You will be encouraged to stay connected with your learning community through the course discussion space.
The materials for each module are accessible from the start of the course and will remain available for the duration of your enrollment. Methods of learning and assessment will include discussion space, videos, reading material, quizzes, hands-on labs, quizzes and final assignment.
Once you have successfully completed the course, you will earn your IBM Certificate.
You will be able to:
We believe every learner is an individual and every course is an opportunity to build job-ready skills. Through our human-centered approach to learning, we will empower you to fulfil your professional and personal goals and enjoy career success.

1-on-1 mentoring, live classes, webinars, weekly feedback, peer discussion, and much more.

Hands-on labs and projects tackling real-world challenges. Great for your resumé and LinkedIn profile.

Designed by the industry for the industry so you can build job-ready skills.

Competency building and global certifications employers are actively looking for.
You will learn to execute SQL queries to extract, manipulate, and analyze data stored in relational databases. The course covers SELECT, INSERT, UPDATE, DELETE queries, string patterns, sorting, grouping, and querying multiple tables. Youll also use Python and Jupyter Notebooks to integrate SQL with data analysis workflows.
No prior experience is required. This course is designed for beginners who want to gain practical skills in SQL with Python for data analysis.
Youll learn the fundamentals of relational databases, including creating and modifying tables, understanding relationships, and querying structured data effectively.
Yes, the course provides hands-on practice with all these essential SQL commands to manipulate and manage database records.
Absolutely. The course covers joining tables, composing nested SELECT statements, and creating sub-queries to handle complex data retrieval tasks.
You will use Python and Jupyter Notebooks to connect to databases, execute queries, and analyze data, bridging SQL with practical Python-based data analysis workflows.
Yes, the course is highly hands-on, with labs and a final assignment designed to give you real-world experience in SQL and Python data analysis.
Youll work with real-world datasets stored in relational databases, helping you practice querying, cleaning, and analyzing data effectively.
Yes, the course emphasizes practical skills in filtering, sorting, and grouping data to make your analysis accurate and meaningful.
The course is structured over 5 weeks, with each week focusing on specific topics from SQL basics to Python integration and a final hands-on assignment.
Yes, it is ideal for anyone aiming for a career in data analytics, data science, or business intelligence who wants to learn SQL with Python.
Yes, the practical projects and labs provide you with tangible skills and portfolio assets you can showcase to employers.
Yes, you will learn to filter and query data using string patterns, ranges, and other techniques to refine your data analysis.
Yes, upon successful completion, you will receive an industry-recognized IBM Certificate that validates your skills in SQL with Python.
This course combines SQL fundamentals with Python integration, hands-on labs, real-world datasets, and a final project, making it highly practical and career-oriented compared to other beginner SQL courses.
Yes. After completing these SQL and Python certifications online, you can pursue recognized certifications to validate your skills. For Python, consider PCEP or PCAP from the Python Institute, or Microsofts Python Development Professional Certificate. For SQL, popular options include the Microsoft SQL Server Professional Certificate, Azure Database Administrator (DP-300), or Oracle Database SQL Certified Associate. Choose based on your career goalanalytics, development, or database administration.
IBM Certificate
05 Modules
05 Skills
Discussion space
20 Hands-on labs
05 Practice quizzes
05 Graded quizzes
01 Final exam
01 Final project
Tables
Built-in Functions
Inserting and Querying Data
Getting Started with SQL
Relational Databases and Tables
IBM Db2
Accessing Databases with SQL Magic
Analyzing data


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