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Learn to program in Python with this IBM course, WITH CERTIFICATE!

Python, recognized as a versatile and powerful language, has gained popularity due to its applicability in various areas.

From web development to artificial intelligence, its versatility has made an impact across multiple professional fields.

Learning Python is not only essential for programmers, but it has also become a valuable tool for professions less related to computer science, such as journalism or social media sales.

This broad range of applications has led to the creation of specialized courses, such as the Python for Data Science course offered by IBM.

The course, available on IBM’s Cognitive Class platform, has emerged as an unmissable opportunity for those looking to delve into the world of Python programming.

Specifically designed for beginners, this course offers an accessible learning curve, taking students from the basics to the ability to write their own Python scripts in a short period.

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Structured in five modules, the course covers everything from the basics to more advanced aspects of Python programming.

It starts with an introduction to Python fundamentals, including manipulation of types, expressions, and variables. It then delves into data structures, conditions, loops, functions, objects, and classes, covering a wide spectrum of fundamental knowledge.

Being self-paced, you have the freedom to progress at your own speed, review content as needed, and take the course at a time that suits you. However, it’s important to note that there is only one opportunity to pass the course, although multiple attempts are allowed per question in assessments.

Before registering, it is suggested to have basic knowledge of mathematics to make the most of the course content.

Registration is a straightforward process: simply access the course page on the Cognitive Class platform, log in or create an account, and proceed with enrollment. All of this can be done through this link.

Julio Del Angel
Julio Del Angel

Information about courses, scholarships, programs, tutorials, whatever I find.

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