Its the Small Data that Matters!

Big Data, surely everyone knows all that it is about, but do you know that the future revolves all around making this big data, smaller? While there may be a lot many people stating that big data is the next big thing, but those people tend to oversee the fact that everything related to big data, is entirely machine based and you would most likely require the human eye, to look at the big picture as it gradually forms. While it is no news, that the importance, evolution, analyzing and collection of everything related to big data, depends on its tools, which are commonly known as data analytics tools. These tools are basically used by Data Scientists or Data Analysts, to make smarter strategic decisions, to reduce costs, to target the right kind of audience, to optimize offerings and on the whole, in order to ensure that your business runs as efficiently as possible. Studies show that by the year 2019, the value of the data analytics industry is bound to reach about $187 billion. Its reason enough to become a part of this industry as early as you can.

Let’s start with the basics here, big data is basically a term, used to refer to the enormous amount of structured as well as raw data, which is generated by a number of businesses today. This data refers to every kind of online record of information, now that could be anything related to social media, or a machine to machine relation. The basic concept is, to be able to deal with all of this data, floating all around you in the virtual world, for which, one would need to develop certain technologies, which would help in analyzing the data, thereby resulting into various decisions that would prove beneficial to the growth and development of various companies.

In the recent times, the concept of big data has come to be the center of attention of the world of technology. There are many who believe that just storage of massive amounts of data would be able to get their work done. This is not really the case, as big amounts of data does not necessarily mean that the data would be useful. The most important point here is, how a business or a firm is able to analyze this data, while at the same time be able to draw practical conclusions from the same, in order to bettering their chances of success. Big Data being a very new concept, many companies have chosen to prioritize over the quantity of data, as opposed to the quality of it. The general idea of this field is so generic, that it becomes quite difficult for various companies to figure out which data should be analyzed, or how to conduct the analysis, or for that matter what attributes it must have. On the other hand, small data is rapidly gaining more importance, mainly because of its very specific attributes, which make it possible to analyze large sets of data. In other words, small data is able to bring about timely and more meaningful insights in shorter amounts of time, which is why more and more data scientists are rooting for it. This is also the reason institutes like Imarticus Learning have become popular, as they offer industry relevant training courses, in various data analytics tools like Hadoop, SAS, R and so on.

http://imarticuslearningeducationinstitute.weebly.com/home/its-the-small-data-that-matters

4 Must Read Books For Data Science Enthusiasts

4-must-read-books-for-data-science-enthusiastsStudies show that an average person can learn any trick, however small it may be through reading books in the similar way, as they can by watching various videos and tutorials. Reading books or anything that is written down, becomes easier to understand and comprehend as it is taken in a very subjective form of the reader.

In the more IT terms, it is the way people try and install new software into their brains. The field of data science today has been facing a huge demand for professionals, who have the specific skill set of handing great amounts of data and converting them to value. This, in addition to the fact that careers in data science field have been attracting a lot of individuals, which has led to increase in the number of institutions, offering specialized programs in data analytics tools. While institutes like Imarticus Learning offer intensive programs, which meet all the industry standards, there is also a need for a
candidate to depend on books, which enrich their knowledge. Because it is only with books, that one is able to get deeper insights and thus expand their knowledge by applying it to practical learning.

Here are 5 books which every data aspirant must read, while studying to be a Data Scientist.

  1. Hands On Programming With R

Written by Garrett Grolemund, this book is best suited for beginners who are very new to R Programming. It introduces the reader to various small details of the R environment, with the help of various interesting projects like weighted dice, playing cards, slot machine etc.

  1. R For Everyone: Advanced Analytics and Graphics

Written by Jared P. Lander, this book covers all the aspects of data science namely, data visualization, data manipulation, predictive modeling, in certain detail. A best read to supplement your learning process, while taking any R Programming specialization course. This book lays a lot of emphasis on usage criteria of algorithms and their examples of implementation.

  1. Applied Predictive Modeling

Written by Max Kuhn and Kjell Johnson, it is considered to be one of the best books, when it comes to theoretical as well as practical knowledge. There are a number of very important topics discussed in great detail within this book namely, over fitting, feature selection, linear and non linear models, tree methods etc. Max Kuhn is also the creator of the very useful caret package, thus it goes without saying that the book presents great insights on the usage of the same.

  1. Introduction To Statistical Learning

Written by a number of authors including, Trevor Hastie and Robert Tibshirani, this book is said to be one of the most detailed book on statistical modeling. In this book, a lot of topics are dealt with in detail like linear regression, logistical regression, SVM, unsupervised learning etc. The best part about this book, it is free and as it is all about just basic introductions, any novice can follow this book and find it helpful. Its a great recommendation for anyone new to machine learning, specifically in R.

Useful Links:

R programming courses
Python Program
SAS certification

Source: https://medium.com/@imarticus/4-must-read-books-for-data-science-enthusiasts-ea4a0b90c3a3

Is A Career In SAS The Right Fit For You?

It is common knowledge that any field would be rewarding as a career, provided that it thoroughly suits an aspirant. The Data Analytics industry is currently the most sought after career option in the IT world, the reason being that, data science has given a new dimension to the world of enhanced customer service. IT has facilitated a new age, where analysis is no longer based on assumptions, but on real time statistics, which then go on to give off great results.

SAS programming.jpg is said to be one of the top tools used in the Data Analytics Industry, with around 40,000 customers worldwide and is also the default software used by a lot of firms, across various fields. This is one of the reasons why SAS Programming  has become a valuable asset, for those looking for jobs in the field of Data Analytics. But, the question arises, whether SAS Programming as a career is appropriate for you? If yes, then would it actually be worth it?

The first step to choosing any career, is knowing yourself. When it comes to SAS, are you someone who would enjoy turning numbers into value based strategies? What is your skill set like when it comes to managing enormous amounts of data? All of these questions can be answered by taking a personality test. There are a lot of institutes today, that offer personality tests to help you find out, whether you are a great fit for a career or not. Imarticus Learning is one education institute, which offers certification courses in SAS Programming and they also have a personality test, which you can take to figure out whether a career in SAS Programming would be suitable for you.

small-csasOnce you have completed this preliminary step, comes the next more important step, to understand the industry. SAS Programming is used in a wide array of industries, from IT to the health sector. Knowing which is the most fruitful field to work in, always helps. It is always better to hear from the proverbial horse’s mouth; so there is no one better than a professional, who can tell you if a career in SAS programming would be worth it for you. Networking always enables as person to get personal insight, in understanding an industry thoroughly.

After accomplishing all of the above and getting positive feedback on every step, you can dabble into the more technical aspects. SAS Programming requires a certain skill set, that involves functions like data mining, statistical analysis and so on. While there are a lot of options to get educated in a similar IT field, nowadays there are also a number of institutes, offering short and long term, certification courses in Data Aanlytics tools like SAS Programming, R Programming, Hadoop and others. Internships are a like a preview to the career you aspire to be a part of, thus doing these give you some real time experience and acquaint you with all that the field of SAS has to provide. Imarticus Learning offers courses in both online and classroom format, where candidates are also provided with valuable career guidance and assistance, in a way ensuring that careers in SAS are extremely rewarding and fruitful for them.