Data Analytical languages or as they are popularly known, programming languages tend to be a little on the difficult side when it comes to learning them. Of all of them, it is believed that Python is one such language or tool, which is pretty easy to learn, especially when we compare it to the others. The syntax that this programming environment provides is not really that ceremonial and is quite easy to get a hang of. This helps all of those non-programmers work really efficiently in this software. When it comes to learning python or teaching it to someone, it is easier to do so with examples as opposed to teaching say Ruby or Perl mainly because of the lesser number of rules and special cases that Python has.
Many might have heard this name ‘Python’ for the very first time in the past couple of years. But what is interesting to know that this programming language has existed in the industry for the past 27 years, which is a lot more time. What then makes this tool so relevant in spite of being so old? It is the fact that Python can be pretty much applied to any and every software development or operations scenario that you can find in the world today. You can make use of python if you are looking to manage local and cloud infrastructure, or developing websites or have to work with SQL or even if you are looking for a custom function in order to make do with Pig or Hive, then Python applies there as well, this is a major reason as to why professionals especially those working in the analytical fields must learn python.
With python it is so easy that once you learn the language, you can very easily leverage the platform. It happens to be backed by PyPi which is pronounced as Pie Pie. Herein a user can make use of more than 85,000 modules as well as scripts. These modules are formulated in such a way that they are able to deliver pre-packaged functionality to any of the local python environments as well as solve a number of problems like the working of databases and the glitches therein, implementation of computer vision, and execution of advanced data analytics such as sentiment analysis or building of RESTful web services.
These days it has become quite a norm that any job you happen to be looking for, you will most probably be in need of having a skillset that is defined by big data and analytics which is why it becomes quite important for one to thoroughly understand the working of Python. As this data analytical tool happens to be a strong presence in the various areas of coding as well as data analytics it is sure to rule the roost in the near future. This is why we see a lot of professionals opting to learn Python from various professional training institutes like Imarticus Learning.
While all of us must be entirely aware of the fact that SAS Programming has come to become a very valuable tool as well as an asset in the field of Data Science, not many of us might know about its humble beginnings. The place was North Carolina State University, where a few budding candidates decided to take up an agricultural research project, which was going to be transformed into a major software and services company by the year 1976. Thus starting off as a platform for just research and development, SAS has seen a great progress especially with building for itself a stronger customer base in the industry. From the banking sector, to pharmaceuticals to academics, SAS has come to be the undisputed leader here.
The Fortune survey has recognised SAS as one of the best environments to actually function in throughout the industry. A feat, which is achieved by quite few. This software programming tool has also carved out a spot for itself in the list of top 10 companies to work for in the previous year. Did you know that of the top 100 companies which figure in the Fortune 500 list of companies, about 94 of those companies are actually SAS customers? This is a testament for the fact that SAS is quite literally becoming the leader in the data analytics world and a career with SAS learning would be the most beneficial career ever.
SAS Career Path
Where can one get all the learning and training in the field of SAS? The SAS Institute is specially designed to offer a number of certifications and training programs to those candidates who enrol herein. There are various credentials which make up the various parts of any SAS certification program and these are mainly, Foundation tools, Advanced Analytics, Business Intelligence and Analytics, Data Management and Administration. There are other kinds of technical additions that one can also make while choosing the perfect course to fit them right.
Now as we have cleared out all of our doubts in terms of how to go about, in trying to get trained in the field of SAS, let us focus more on how exactly would the career pan out to be. For instance, there are many job sites today which literally have scores and scores of job postings for SAS programming experts. Not just that but these jobs also offer the opportunity to earn a lot higher as compared to those with expertise in the other data analytical tools. Apart from this, there are many other advantages like getting the perfect kind of job mainly due to the fact that the employers are actually looking for people with specific skills in this very arena. An outstanding work culture and quick returns paying SAS certification makes for a great career path in SAS analytics thus.
There are quite a few places from where one can get thoroughly trained in SAS Programming. One of the most refined ones could be Imarticus Learningwhich offers a score of comprehensive certification courses in SAS Learning.
SAS Programming is one such data analytics tool that has time and again proved its magnificence and has ensured its place as a market leader in providing a brand new generation of business intelligence, software and services that help create a better quality of enterprise intelligence. The Institute of SAS is popular as the world’s largest company that is owned by private entities as opposed to governmental ownership.
The fact that it has actually been the first one of its kind as well as the oldest data analytical tool in the industry, this helps it in becoming a seasoned vendor which completely integrates leading data warehousing, analytics as well as business intelligence application in order to derive intelligence from enormous amounts of data.
With the way this data analytical tool seems to be progressing, its future looks entirely bright as this tool will surely be playing a very important role in the coming age of Big Data Revolution. Today the popularity of SAS has reached so far and wide that almost everyone in every kind of business and verticals, not just knows about its benefits but also understands why the skills of using this tool are very much in demand in both the current and future markets.
The most important reason being that the field of SAS offers up the most amount of job opportunities. Even if search the web for ‘opportunities in SAS’ you will come across a huge number and variety of job listings with various requirements and SAS expertise for the same.
One of the biggest advantages of learning this programming language is the fact that it happens to be a fourth generation language. It is not only great fun to learn this language but the GUI and all the ways to get easy access to multiple application also helps quite a lot.
SAS is both flexible and broad-based as there are so many ways of reading data files from various statistical packages in here. The various data files that are allowed on this platform range from SPSS, Excel, Minitab, Stata, Systat as well as many others that can even be directly incorporated in an SAS program. This programming environment does not provide any kind of threat as any file can be possibly converted into an SAS file format helps its case greatly.
Being such a flexible and welcoming language, while learning under this programming environment, you don’t have to really let go of all the other programming languages that you may have previously mastered or even managed. These could be database software like Oracle and DB2 and so on.
With a number of output and input formats as well as the fact that this tool is extremely versatile and powerful plus has a number of procedures for the different kinds of analysis help its case.
The past couple of years have seen the advent of big data as a great field of opportunities which has become popular for providing various solutions as well as for the management and utilization of data for the benefit of businesses. In spite of all the different beneficial consequences, implementing data management and big data in your organization is quite difficult. This is mainly because most of the firms are also used to paying a hefty amount of training fee in order to get all of their employees trained and develop the skill set of a Data Analyst.
This is why there are many companies today, which have begun to look out for candidates who are already trained before they enter the industry. And for the similar reason, a similar trend is becoming quite popular among candidates. This is of that of the professional training institutes. Both in India and abroad there are quite a number of institutes which have become the go-to institutes when it comes to industry endorsed training courses in the field of Big Data and Analytics.
There are many resources today, apart from the institutes which are available for sharpening particular data analytical skills. Like for instance if you happen to be a data aspirant looking to sharpen your Hadoop programming skills, there is vast variety of resources that you can choose from, even like the ultra-popular You Tube and the renowned MapR Online Training programs and so on. There are also universities online, which provide a great range of data certification programs. Imarticus Learning definitely comes to be a part of such universities which offer a number of certification courses in various data analytical tools such as Big Data and Hadoop, Certification in R Programming, SAS Programming and Python, SQL and so on.
You Tube is today’s new and upcoming employment sector with everyone starting their own channel and becoming multi-millionaires in their own unique way. Apart from offering great paying jobs it is also a great hub of learning opportunities as well. There are many videos, lecture series, tutorials and so on which you will find on this website. This is why it is hailed as a revolutionary world changing aspect of the field of Internet of Things. While this resource is considered to be one of the best resources, but then again a word of caution, that you need to confirm the credibility of the source which is uploading all those videos.
Apart from these videos, there are also Hadoop tutorials that you can access and watch free videos. These are extensive and comprehensive online courses that allow the learners to learn whichever aspect they wish to at their own pace and in their own time. Having Hadoop skills as a part of your skill set is most definitely an asset in the field of Big Data.
Historically speaking the data analytics tool of SAS programming has been in the data science industry for about four decades or so. But very few know that this tool actually existed well before there even was a Data Science industry.
While there were a number of professionals working inside of the SAS programming environment, they did everything but code. Another interesting fact about this data analytical tool is that most of the professionals who actually worked with it, were not Data Scientists, they actually weren’t even Data Analysts. These were just the decision makers, the top tier of the firms which were responsible for taking decisions and would rather need a proper professional to code for them, in order to help them achieve their goals.
Fast forward to today, when the SAS programmers in the Data Science industry are getting paid as handsomely as ever. The average annual salary of a Data Analyst has increased two fold to almost three fold in the past two, three decades. While the salary has multiplied, so have the responsibilities that a professional has to take care of. In comparison to those who worked around SAS codes in the past, today there is a significant increase in both the pressures and roles of the professionals of today. SAS programmers today do way more than just coding today, with the emergence of the concepts of Big Data, Data Science and Big Data Analytics.
Now that we have successfully resolved our doubts about the past and the present pertaining to the status of SAS programming, let’s focus more on the future of SAS Programming. The popularity for this career option has significantly increased over the past few years. More importantly it is the knowledge of SAS programming and the field of Data Science that has resulted into such a progressive picture. SAS is popularly known to be one of the most time renowned data analytical tools existing in the industry. At the same time, it is also a licensed software, which means that it is not free or easy to be downloaded. This is why many companies opting for SAS have to buy the license for the usage of the same.
While there are many who feel that working with SAS is a great opportunity and the future for the same seems pretty bright. But at the same time, there are a lot of uncertainties in terms of the inclusion of the open sourced data analytics tools like R programming. So much so that there are many professionals who actually work with SAS but also are required to work within the framework of R. This may seem like a challenge for the future of SAS programming but then again there may be very less chances of a question of survival. Mainly because SAS has its own framework and supervisors who will be able to solve any queries and difficulties. This is mainly why there are many data aspirants who take up SAS courses from institutes like Imarticus Learning to get into the field of Data Science.
It is not a news anymore that the field of Big Data is gradually turning into the newest, rich kid on the block. With so many business experts and IT gurus not only welcoming but also praising this new amazing field of technology and development. The possibility that you can now store the entire data of a town and actually derive insights from it, is not only novel but so surprising that it is almost unbelievable sometimes. There are a lot of statistics and studies which state that the global revenues for the big data industry are going to be on a steady rise and would reach $150.8 billion by the end of 2017.
When this field of big data first emerged and when people heard of this concept for the first time, it was difficult to really comprehend as to how the companies would be able to store so much data and not just store but utilize it as well. This data that we talk about, is actually the information that comes from various social media applications that people use. From various accounts such as Facebook, Instagram, Twitter as well as search engines such as Google and even other aspects that formed a part of the Internet of Things. As people began to use these applications, the volume of data being collected began to go on increasing.
As this humongous amount of data kept on increasing, there were very few ways to store and ever fewer ways to actually process the same. There were a few systems that were able to work with these databases. These were popularly known as the Traditional Database Management Systems or abbreviated as DBMSs. This was comparatively an old system which was still unable to work with the kind of progress that was being made in the otherwise expanding field of Big Data. Data could be divided into two types, unstructured and structures, the former kind of data was very difficult to be processed by rudimentary technologies.
This is why an advanced technology of DBMS emerged to fill the gaps, which today has come to be popularly known as the Hadoop data analytics programming. The inception and initial stages of Hadoop were in the form of the Google file system and the idea for the same was first discussed in the year 2003. Three years later the development process accelerated and transformed into an open source project which was later spearheaded by the Apache Software Foundation. Today, Hadoop is rapidly becoming popular as an open source database management system for processing enormous data sets using the programming tool called MapReduce. There are also many prominent clusters on which this software runs, like Cloudera Inc, Hortonworks Inc, MapR Technologies and so on.
Hadoop has attracted quite a number of data aspirants who wish to make a career in the field of Data Science and Data Analytics. There are many professional training institutes like Imarticus Learning today offering Hadoop training to many who would like to jumpstart their career as well.
The field of Data Science and the data analytics tool of SAS Programming have almost become synonyms in today’s day and age. This is mainly because SAS has been existing in the field of analytics since quite a long time. Serving close to 40,000 clients it has become a global leader especially in the spectrum of business analytics software. This is due to that fact that it has done the work of delivering breakthrough technology that any entrepreneur would need to help transform their business. One of the very attractive attributes of this software environment is that provides an integrated process for analysing data coming in from every source, as well as helps in gaining predictive power and analytical insight to drive change at every single level.
Over the years, this data analytical tool has proved its mettle by becoming a market leader in offering all of its clients with a new generation of business intelligence software as well as those services that can create true enterprise intelligence. Did you know that about 96 of all the top 100 companies in the list of Fortune Global 500, usually are the ones which work majorly within the SAS software? This data analytics program offers a number of solutions which are usually put to use at close to 40,000 sites. These solutions in turn also help companies forge fruitful relationships with their clients as well as their suppliers. In addition to this, today companies are able to take better, more accurate and informed decisions in order to help drive their organizations forward.
SAS Programming happens to be the only vendor that is able to completely integrate top level data warehousing, analytics and traditional business intelligence applications, in order to derive intelligence from massive amounts of data. The very popularity of this data analytics tool lies in the fact, that it has been offering such excellent services for the past three decades in the industry. Now that we know how it works and why it is required, let’s move on to another important question, “Why should you become a SAS certified professional?”
There are many ways that this certification can help you, mainly in terms of your career opportunities and marketability. It also helps to enhance your knowledge and improves your credibility as a technical professional. As you work while being endorsed by a SAS certification, your knowledge is also validated in terms of industry levels. There are various job opportunities for a professional thinking of starting a career with SAS, like for example in the field of Clinical Trials, Financial Analysis, Banking, Insurance, Health Care etc. These kind of employment opportunities are open for all candidates, regardless of their work experience.
Learning SAS can also open up doors for employment in foreign countries, due to the technological boom that is the present day scenario today. This is why there are a number of professionals out there who are on the lookout for sas courses through renowned professional training institutes. Highly acclaimed institutes like Imarticus Learning happen to be one of the best options.