With an increase in time and technology, the demand for a data scientist is substantially increasing in all the industries. For each and every business to develop with a positive note, it is required to properly assess all the gathered data. For a data scientist, it is very important that he or she should have the right skills along with the perfect tools to produce useful insights leading to the success of the business.
According to the recent reports from Forbes, data science is the best job for last three years and by 2020, there will be a sharp increase in demand for the data scientist by around 30% with almost three million job availabilities. With data science, the concepts of analysis, statistics, and other strategies are combined together to do wonders with the data.
Here is the list of top 5 programming languages that a data scientist must master in order to deal with the technologies. Have a look at them below:
Java is a general-purpose programming language which is extremely popular. Many big organizations and MNCs use it to create their web and desktop applications and for the backend systems. Java is an Oracle supported system which enhances the platform portability. Java is termed as the pillar of the programming stack for an organization. There has been a huge demand for Java skills especially for software engineers, data scientists, and DevOps engineers.
SQL is one of the most popular languages that is being used by data scientists all over the world. It is used for the task of querying the information from the relational database and editing them. The large databases can be easily managed with the help of SQL thus reducing the turnaround time. SQL is the must-have the skill for all industries.
Another very popular language being used by data scientists is R. It is an open source language for the task of statistical computing and graphics. The recruiters are highly in search of people having skills in R for the jobs in Machine learning and data science. There are many statistical models available in R along with high functionality packages which make it so popular.
Another extremely powerful and dynamic general purpose programming language is Python. The data science community widely uses Python to perform various operations with data including data cleaning, exploration, visualization etc to provide powerful data insights. Python is termed as one of the easiest programming languages to learn and understand. Due to its capacity to easily interface with the algorithms developed in C or Fortran, it has become a highly used language for data science. Data Scientist can learn this programming language by taking Python training in Mumbai from Petaa Bytes, in this training will learn from basic to advance concept of python.
Julia is a dynamic programming language which is designed to address the scientific computing needs and for the numerical analysis. It has very high speed and this is the reason why it is widely used for the projects which have complex and high volume datasets. If you are looking for high performance, then Julia is for you.
Learning any of the above-mentioned programming languages can give a great kick-off to your data science career.