SQL for Data Science
This course is part of IBM: Fundamentos de ciencia de datos.
This comprehensive course teaches you how to harness the power of SQL (Structured Query Language) for data science applications. You'll learn to communicate with databases, extract various types of data, and perform data analysis. Starting with fundamental SQL concepts, you'll progress to creating database instances in the cloud and executing complex queries. Through practical labs, you'll gain hands-on experience with real databases, tools, and datasets. The course also covers integrating SQL with Python in Jupyter notebooks, enabling you to combine these powerful tools for data analysis. No prior knowledge of databases, SQL, Python, or programming is required, making this course perfect for beginners looking to enter the field of data science or machine learning specialists seeking to enhance their skills.
Instructors:
Spanish
Español
Powered by
What you'll learn
Learn and apply fundamental knowledge of SQL language
Create a database in the cloud
Use string patterns and ranges to query data
Sort and group data in result sets by data type
Analyze data using Python
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
Shareable certificate
Closed caption
Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
Module Description
This comprehensive course introduces you to the powerful SQL language for data science applications. You'll start by learning fundamental SQL concepts and how to work with relational databases. The course provides hands-on experience creating cloud database instances and writing effective SQL queries. You'll practice using string patterns and ranges to query data, sorting and grouping data in result sets by data type, and analyzing data with Python. Special emphasis is placed on practical learning through real databases, tools, and datasets. You'll also learn how to access databases from Jupyter notebooks using both SQL and Python, providing valuable integration skills. By the end of the course, you'll have the essential SQL knowledge needed to advance as a data scientist or machine learning specialist.
Instructor
Technology Education and Skills Development Leader at IBM
Rav Ahuja serves as the Chief Content Officer and Global Program Director at IBM Skills Network, where he leads curriculum creation, growth strategy, and partner programs. After earning his B.Eng. from McGill University and MBA from the University of Western Ontario, he co-founded Cognitive Class, an IBM initiative focused on democratizing access to in-demand technology skills. Based at the IBM Canada Lab in Toronto, he specializes in developing instructional solutions for AI, Data Science, Cloud Computing, and Cybersecurity. His impact on technology education is evidenced through his role as architect of numerous IBM Professional Certificates and instructor for over 35 online courses, including popular offerings like "What is Data Science?", "Introduction to Cloud Computing," and "Introduction to Artificial Intelligence (AI)." His courses have reached hundreds of thousands of learners worldwide, with "What is Data Science?" alone enrolling over 638,000 students. His recent work includes developing new Generative AI courses and career guidance content for IBM's Professional Certificate programs, demonstrating his ongoing commitment to preparing learners for emerging technology careers
Testimonials
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.