R Users Need To Study SAS Programming As Well, Here’s Why

When it comes to the IT industry, there are a number of debates, regarding various gadgets, operating systems, applications and so on. There is also one lesser-known debate, which takes place quite often in specific IT circles. This is the debate between SAS Programming and R Programming, two of the most popular and highly preferred tools in the data analytics industry.

The field of data analytics deals with great amounts of data in the virtual space, which is generated by companies, across different fields. While both of these data analytics tools, perform very similar functions, one very essential distinction between them is, that R Programming is an open source software, whereas SAS is a paid, licensed software. As there is a huge demand for highly skilled professionals in the field of data analytics, a lot of institutes have begun to offer courses in R and SAS training.

While R is an open sourced software, which means that it can easily be downloaded. This easy access is what has made it so popular in the data analytics field. While it is true that R can do everything that SAS can do, which is the opening argument of a lot of R users; it is also important to note that softwares like SPSS can also do what both R and SAS can do. While SAS Programming is a paid licensed product, R is free and this why it is believed to better than any other data analytics tool. This may be true in some aspects, where R users get to experience all the new and updated techniques whereas it takes a while for SAS Programming to assimilate them.

Think of it as a windows versus linux argument, where although Linux does everything similar to Microsoft, yet does not really have that much credibility in terms of the official usage. When R users opt for SAS training, they get to learn the not only the oldest tool in the market, but also a software that has been used as a default software in many companies for the past three decades now.

SAS Programming training will equip a professional to cover almost all the areas of statistical analysis and techniques. The fact that it is a licensed product, users can be sure that all the new additional changes are thoroughly tested by the support center.

R users getting trained in SAS would be able to handle large databases without any glitches like memory errors or becoming unresponsive. SAS is designed as a data manipulation language, which means that it can run intuitively and is very easy to learn, this would be a fresh change from the fact that R is more difficult to learn.

Although there are a lot of reasons why one would prefer R, mainly because it is free, can be updated, and has a huge community where one can find out problems, but it cannot be SAS.

This programming language is already a default software in a lot of companies, most of them do not even use it for analytics purposes. SAS provides a great support base, guarantee and is best tool to us in the long run. Hence it becomes a necessity for R users to try and master the skills of SAS programming.


 

The Promises of Artificial Intelligence: Introduction

The field of Artificial Intelligence seems to working on a winning streak. In the year 2005, the U. S Defence Advance Research Project Agency, held the DARPA Grand Challenge, which was supposedly held to spur development of autonomous vehicles, basically in order to make self-driven, smart cars. This challenge was taken up and successfully completed by 5 teams. In the year 2011, in a great competition of Jeopardy, the IBM Watson system, was successfully able to beat two long time, human champions of the same legendary game. Another great win of technology over the human race would be in the year 2016, when Google DeepMind’s AlphaGo system was able to successfully defeat the world champion of Go Player, who was reportedly the world champion for 18 consecutive times.
While these feats of technology over the human brain are extremely commendable, today the long surviving dream of humans, which basically revolved around developing technology to control their surroundings, has finally come to fruition. This has resulted in the form of Google’s Google Assistant, Microsoft’s Cortana, Apple’s Siri and Amazon’s Alexa. As a result of all of these AI (Artificial Intelligence) powered virtual assistants, people are able to make greater use of technology in order to live better lives.
Artificial Intelligence is considered to be a field of computer science, which is entirely devoted to the creation of computing machines and systems, all of which are able to perform operations that are similar to human learning and decision making. According to the Association for the Advancement of Artificial Intelligence, AI is, “the scientific understanding of the mechanisms underlying thought and intelligent behaviour and their embodiment in machines.” While these intelligence levels can never be compared to those of the humans, but they can certainly vary in terms of various technologies.
Artificial Intelligence includes a number of functions, which include learning, which primarily includes a number of approaches such as deep learning, transfer learning, human learning and especially decision making. All of these functionalities can later help in the execution of various fields such as cardiology, accounting, law, deductive reasoning, quantitative reasoning, and mainly interactions with people, in order to not only perform tasks, but also to learn from the environment.
While the recent changes may be extremely mind blowing, the promise of AI has always been existing since era of electromechanical computing, this began in the time period, after the World War 2. The first conference of Artificial Intelligence was held at the college of Dartmouth in the year 1956 and at that time, it was said that AI could be achieved within the time period of summer. Later on, in the 1960’s there were scientists, who claimed that in the next decade, it would be possible to see various machines controlling human lives. But it was in the year 1965, when the Nobel Laureate, Herbert Simon, who is supposed to have predicted the words, which would have some substance and which were, “In the next 20 years, it would be possible that machines would be able to do any work of labour that man can”.
With Artificial Intelligence, going in full fervour, the field which it has affected most in the field of Data Science. And as there are many who believe that there is a great to achieve in this field, have begun to get trained in the same by approaching professional training institute – Imarticus Learning.