With the growing application of the field of data science in various verticals across the industry, there is no doubt in the fact that any stone would be left unturned. This is very true especially in the context of India’s strategic policy of security. This comes right after the recent news that CISF which is also known as the Central Industrial Security Force, which happens to be a national agency has announced that there is a need to secure all of the important assets especially when it comes to evidence, which is why they have come up with a novel idea of creating a ‘media lab’ as well as a social media monitoring room at its base near Chennai.
Now what is interesting is the way this is going to be achieved. Precisely through the use of social media directly. There are numerous social media trends that will be followed and tracked and then the data analytics professionals with analyse them and process the same in order to ensure as well as monitor the security of our country’s most vital assets both physical in nature like the airports, the nuclear reactors and aerospace installations as well as virtual in nature like confidential data stored in the cloud.
This media lab is supposed to be created basically for the purpose of usage by the Pattern Research for Institutional Social Media (PRISM) analytics at the Chennai base of CISF. This whole project will include a team of trained professionals who are basically CISF agents. These officers would be trained in order to learn how to track social media trends, the various news and snippets available online and offline, reports and various other indicators across various platforms in order to collate them and help dish them out as pieces of vital information. These would then be referred to as pieces of “actionable intelligence” to various places of transit like airports and so on.
The paramilitary forces will also be roped in this exercise and there will be various platforms that will function as their sources. These platforms would range from websites like Twitter, Facebook, YouTube, and Flickr and so on in order to keep a check on any such activity that guarantees some sort of suspicion. The Director General of CISF, Mr. OP Singh said, “WE are doing this on an experimental basis. The PRISM control room is based in the southern part of the country as we have a sizable number of units that have armed security cover in that part. Based on the experiences this smart centre will be further bolstered. There will be a special team of our men who will be keeping a track of social media trends in order to keep all of their physical assets safe and sound from any injury.”
The success of this experiment would ensure that the security of our country will get a huge boost and thus at the same students will want to train more in the field of data analytics through institutes like Imarticus Learning.
The sheer amount of data that is being generated today can totally be called as the marketers’ dream. Anyone in the marketing industry might know the very importance of being able to work with an audience which is not just the target audience of the firm, but the right kind of target audience. This is all come to be true due to the presence of data science and big data. This data is usually generated in huge amounts through various Internet of Things devices that are used by the majority population in their homes, social media profiles and so on.
Did you know that today with the right kind of tools, you could actually go ahead and drive your own campaign on the basis of the right kind of data and by gathering the same from the right kind of places as well? It is almost like the business which deal in data science, have found out a huge gold mine for themselves by landing on such great amounts of right kind of big data. This way they are able to have successful conversions of their very own customers and help in gaining profits. But on the other hand not all data scientists or business owners are able to actually reap the benefits of the same.
Here are a few tips to help you along in your journey to transform your business.
Focus on finding the right kind of customers
Data science, more often than not goes along a long way in trying to create the face of your entire business campaign. Always focus on the best kind of advertising methods which will help you land in the perfect kind of position where you can not only attract the most amount of attention but also ensure that there is the right kind of business optimization taking place. For instance let’s talk about banner ads, if no one happens to be clicking on them, why not show them the door?
Landing on your target audience
The purpose of data science is not only to show you how many people clicked on your advertisement, rather it is to show you a lot, lot more in general. The number of clicks are really instrumental, but at the same time what is more important is the fact that who exactly are the people who are doing this clicking thing. Data Science does just that for you, it gives you a whole picture of who exactly is doing the clicking and how exactly the other factors affect the same.
The Need To Find The Best Candidate
While we did begin with the marketing side of things, which is not really all that data can do. This field is not just meant to entice people but to do a lot, lot more. Which is why it is important to find out the right kind of candidate who can help you find out and also take advantage of the same. Finding professionals trained for the industry like the ones churned out by professional training institutes like Imarticus Learning is a great way to start your journey.
Just like there happen to be various categories of statisticians like for instance biostatistician, econometricians, and operations research specialists and so on, there are also categories of data scientists. In any particular industry, when it comes to one discipline, there still happen to be multiple people acting and working in similar yet different fashion. A simpler example would be the various categories of business analysts. These could range from professionals who have an expertise in the field of marketing, or product or ever finance. Similar is the case with the field of Data Science. Did you know that many data scientists, don’t even happen to have the same title that of a data scientist?
Now let us begin with the various categories of data scientists that are here, thriving and functioning in the industry. Firstly there are those who have statistics as their strong suit. They happen to be involved in development of new and improved statistical theories for the development of data science. They have a proper expertise in various subjects such as statistical modelling, experimental design, and sampling, clustering, data reduction and so on.
Then there are those data scientists who have maths as their strongest suit possible. These people are usually the ones employed in high tech governmental and non-governmental agencies like the national security agency, the operations and research departments and sometimes they are even astronomers or people working for the military and defence services of a particular country. These are the creamiest of the creamy layer of the society and are usually found to be collecting, analysing and extracting value out of data.
Those professionals who are supposed to be having expertise in the field of data engineering are known to be fitting right in into the third category of data scientists. These professionals generally work with a number of data analytical tools like Hadoop as well as work with database or file system optimization or the newest hot word in the market, are involved in the process of data plumbing.
The next few categories are although not as big hits as the three that precede them, but at the same time are extremely important as well. For instance, those who are involved in the field of machine learning, happen to be extremely strong with algorithms and computational complexity, which happen to be their areas of work influence.
Those professionals who work in the business category are usually those who work in optimization as a part of the various decision sciences. Their functions were apparently carried out by various business analysts earlier in the big gun type of companies. Whereas those who usually work with code development are found to be working in the field of software engineering. Then there are those data scientists who fall in the category of data visualization, spatial data and many more.
For a data scientist or a data aspirant to actually fall in any of the three categories, it is very important for them to first develop their faculties. For which most of these aspirants usually join professional training institutes like Imarticus Learning.
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.
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.
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.