It covers the basics of COBOL programming, including data types, control structures, and file handling. IBM COBOL Programming for Beginners: This is a free course offered by IBM on the edX platform.Additionally, several books and online tutorials are available for those who prefer self-directed learning.

There are several online courses available, as well as some universities that offer COBOL courses as part of their computer science or business programs. One option is to take a course or program specifically focused on COBOL. While COBOL may not be as commonly taught as other programming languages, there are still plenty of resources available for those looking to learn.

Additionally, COBOL has a strong focus on data integrity and accuracy, which can be valuable skills for data science professionals who work with sensitive or critical data. COBOL was designed specifically for business applications, meaning it has features well-suited for handling large volumes of data and working with record-oriented file structures. Additionally, some organizations may be hesitant to replace these systems entirely due to the cost and risk involved, meaning there will continue to be a need for COBOL programmers in the foreseeable future.īeyond job opportunities, learning COBOL could also give data science professionals a unique perspective on data handling.

As many of these organizations have legacy systems built on COBOL, they need programmers who can maintain and update these systems. There is still significant demand for COBOL programmers, particularly in industries such as banking, insurance, and government. Okay, but why Learn COBOL and how can it help me become a better data science professional?įirst and foremost, learning COBOL could open up new job opportunities. As a data science professional, learning COBOL could have some surprising benefits. While COBOL is an older language, it has a rich history of being used for critical business operations, and many large organisations still rely on COBOL systems to this day. One language that may not immediately come to mind is COBOL (COmmon Business-Oriented Language). In the world of data science, there are many programming languages and tools to choose from, each with its own set of benefits and use cases.

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