Jobs outside of software development that require programming skills

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Programming is no longer the exclusive domain of computer scientists. Its growing popularity and power extends to professions that traditionally did not require coding. People are starting to realize how much more can be done using programming languages, which is driving the growth of computer science education.

Natural science business graduates take programming courses to increase their productivity. At the same time, computer science graduates are finding roles outside of pure software engineering. Here are four professions, outside of software development, where programming skills can be applied:

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Data analyst

While Microsoft Excel is still the industry standard bearer, its popularity is being ripped off by Python, a programming language. Businesses today produce large amounts of data that cannot be processed or analyzed in Excel due to its limit of around one million rows. Python, using libraries such as Pandas, does not attempt to process large data sets.

When asked why he preferred Python to Excel, Md. Shafiqur Rahman Ridth, deputy director of reporting and analytics at Nagad, said, “We can work with big data, load larger data sets. compared to Excel ”.

Python can also be used for automation to remove repetitive tasks. When it comes to predictive analytics, Python offers a lot more control and customization. “Python can be used to perform advanced statistics, visualization, and machine learning,” Shafiqur said. Excel is limited in its ability to perform machine learning algorithms.

Genomics researcher

When it comes to natural science research, programming has always been a staple due to the large amounts of data to be analyzed. The language most commonly used in the scientific community is R. A programming language developed by statisticians for statistical computing and graphics, R’s data analysis capability makes it an ideal choice for researchers. It is often used to summarize the statistics of experiments.

Programming is also used to automate tasks such as building a data pipeline in experiments. Researchers can enter different variables and observe the results in a computing environment. Jahan Rahman, a research assistant at the New York Genome Center, used his programming knowledge to create open source software that allows researchers to design custom RNAs. “Using programming, I can generate numbers, analyze data, and enter standardized variables to get standardized output that people can use,” Jahan explained.

Operations analyst

Operations are one of the main functions of an organization and process a lot of data. For example, being able to use SQL, a language used to manage data stored in a relational database management system, is very convenient for members of an operations team.

Sabbir Ahmed, head of digital recharge (market operations division) at Robi Axiata Limited, said knowing SQL enabled him to “reduce dependency on accessing customer data.” He no longer had to disturb another team to request data and it increased his productivity at work. Manipulating data using SQL is also much easier compared to Excel. Sabbir also uses his knowledge of Python to create prediction models for

better targeting of customers.

Normally, a new product has a response rate of around 0.01%. However, using a programming-based targeting system resulted in a response rate of 7-10%. This drastically reduced promotional costs.

Architect

Grasshopper 3D is a visual programming language used for architectural and structural engineering modeling. A visual programming language does not require any scripting and is based entirely on drag and drop options to build algorithms. However, it does have functionality and follows the syntax of a typical programming language.

Like most programming languages, Grasshopper allows its users to automate tasks. Instead of having to draw the same line or circle multiple times, an algorithm can be developed in Grasshopper to do it. “The algorithms in Grasshopper are fairly easy to create. Functions are predefined elements that you drag, drop, and connect.

all very intuitive visually. It takes a lot less time than manually modifying the geometry, ”said Arnob Faraz, architecture graduate from North South University, of the benefits of using Grasshopper. Python code blocks can also be added to Grasshopper.


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