Two Tools That Will Help you Succeed in Data Science

Data science has attracted talented individuals from all over the globe. Skilled data scientists not only find good employment but also are handsomely rewarded and highly revered across industries. Moreover, the advent of IR 4.0 has cemented their position as key players in any business organization because every business today needs a data driven strategy to grow.

While many are trying to take advantage of the situation, it is also important to remember that in order to succeed in data science, the most in-demand tools should be mastered. Here we talk about two tools which are often put in opposition to each other. Both of them are pretty crucial to the building of a complete data science professional.

Python

Python is not only the most popular programming language at the moment but also the most popular data science platform. With dedicated data science packages like Matplotlib, NumPy and Pandas, data scientists all over the world are using it with ease.

One of the most significant advantages of using Python is that it is very easy to master and even if you have a little knowledge of coding you will be able to use Python libraries for your data science tasks. Another important advantage of Python is the fact that it is open source and thus businesses big or small can utilize it to untap the potential of data. Thus, most data science jobs mention Python as an essential skill.

• SAS

SAS has been the leader in analytics since its inception and has been providing BI and BA solution to tech-giants for decades. In the field of data science SAS is well known for offering an easy to use software platform that can be used efficiently for a number of data science operations without any hassle.
The GUI of SAS is very creative with drag and drop features which helps professionals to save precious time and focus on the analytics part of their job rather than getting bogged down by programming compliances.

 

A significant advantage of SAS is the fact that the software platform provides a variety of options for data visualizations and in this area only a few other tools can challenge SAS. Data scientists also love the numerous statistical libraries offered by SAS and thus it can be an excellent tool for you. However, it is not one of those tools that you can just learn on your own. All you need to do is find a SAS training institute in Delhi.

Now, is perhaps the best time to make a career in Data science as the demand is huge and its importance continues to increase.

In India too, the scope of opportunities for aspiring data scientists is huge. A report by IBM predicts that there will be approximately 2,720,000 job listings for data science and analytics skills in 2020 and a massive chunk of it will be in India itself. Agriculture, Healthcare, Aviation, E-commerce and Cyber security are some of the industrial sectors that will emerge as top recruiters of data scientists and data analysts in 2020.