Data scientists cannot do all of their tasks just by using their statistical calculation abilities. They require certain tools to work with big data and function according to the requirements of the business process. There is a lot of demand for data scientists with appropriate skill sets. Due to the increase in demand in the current market, which is expected to increase more, data scientists are asked to upgrade themselves according to the current market needs. To help them build and manage the business processes better, here are some of the language tools that will help them better understand and build the applications in an agile way.
- R programming- It is a statistical programming tool which helps in the data analysis process. It is an easy programming tool that is easily understandable and better to debug. It is a unique language that has features that no other programming language possesses, which is why it is widely suggested to be used for data science applications. It is also known as a vector language. It is finding its place for many uses such as medicine and finance sectors.
- Python-It is an interpretable language. It stands out of all the other programming languages and has a special place in data science. This is also easy to learn and build applications. It consists of varied types of libraries that are especially designed for data science.
- SQL-Known as structured query language, is a backend database language that is designed to give queries to the database which helps retrieve information as per the requirements. It is the best language used for the backend operations, which is used to manage the storage area. This is treated as the most important language to manage and access data.
- MATLAB- It is the platform supporting machine learning and statistics. This is designed especially for the use of engineers and data scientists. It allows operations like matrix multiplication, plotting of data functions, and many more. It provides the reports on the operability of the data which is a very important concern in a business process. It is a technical computing high performance language. It is more like a platform where the analyst can take information from the data present and make powerful decisions using effective algorithms. It is an easily understandable language and is considered to be the most important technical skill to have.
There are many other such languages such as c/c++, perl, typescript/JavaScript, and bash. Out of all the language tools available, Python is widely used because it contains everything that is required to operate in a data science application. Scala is another widely used programming language that provides functional programming and is much more efficient than Java.
To conclude, Python is the most recommended tool of all the other languages. It provides about 70,000 libraries and supports all kinds of business operations and also helps in quickly building an application.
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Data science is the most trending technology and so is the role of a data scientist in all business processes. Data science classes in Pune offer the suggested courses to be taken for this career path.
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