Category: Analytics

Almost everyone today is familiar with the one key process, which makes use of all the data, in the world today, in turning helping every sector achieve respective goals. Data Analytics, since its inception has gone on to become the most prerequisite process throughout various industries, like Finance, Sports, Health Care, E-commerce, Retail, Manufacturing and so on. While these industries consider the process of data analytics very essential, it is also essentially used in a number of Business Functions. Regardless of any kind of organization, data analytics as a process, has come to becomes really important, in terms of a number of business functions, especially Marketing and HR. Apart from these, the various other business functions, which employ the use of data analytics include sales, supply chain management, Manufacturing, Strategy and many more.

Marketing

The first rule of marketing, for any firm is striving hard to not only understand their target audience, but also to find and attract more people like them. Now as there are a huge number of customers and clients out there, it may make the task of knowing your audience, seem extremely daunting. This is where the importance of data analytics comes in. It is this process which helps the firm in figuring out the various nuances of every customer and thereby add more value to the company, by gathering data across all the present marketing channels and consolidating it into a common marketing view. Data Analytics helps in measuring, managing and analyzing the marketing performance, so as to increase the effectiveness and to double the rate of return of investments. The various questions that data analytics helps to answer in this field range from, performance of marketing initiatives to the allocation of marketing resources and the activities, that are conducted in comparison to that of the competition. The field of marketing involves the use of various tools of data analytics, in order to investigate the past performance and predict the future on the basis of it.

Human Resources

For any firm, regardless of the field of specialization, Human Resources department makes for the most important part. This is mainly because of the fact, that this department is responsible for providing the perfect talent in order to perform the suitable functions, so as to generate profits for the company. Data Analytics in this field, collects all the related data and helps in the creation of a single representation of the entire workforce, looking to be placed in the said field. The various valuable insights that the data provides, can be then used for taking various business decisions, in order to help drive the business processes, thus improving not only the productivity but also the profitability of the company. The various key areas in HR, where data analytics is important are, talent acquisition and retention, building leadership, optimizing of compensation and benefits, attrition and so on.
This why, the market has seen a growing demand for those, who are proficient in using data analytics tools. Many candidates have also begun to show great interest, in this field and are looking to get certified in various data analytics tools like SAS Programming, R Programming, Hadoop and so on. Imarticus Learning is making it possible for the candidates to get into the career of their choice, by providing industry endorsed courses in various data analytics tools.

Data Analytics today has found its application in various fields across the industry. Today, it is extensively used for strategic, operational and tactical decision-making processes, across various industry verticals. These range from Retail, E-commerce, Banking, Finance, Healthcare, Sports and Manufacturing among many others.

In the modern, technology-driven world, users or customers in the retail scenario, are not only accustomed to the digital comfort, but they are also very savvy in terms of using it. Thus, when it comes to retail, a customer who now has a fast paced world and is extremely used to instant gratification, all of which are resultant features of technology; is not only impatient, busy but also looking to be the beneficiary of an excellent service.

Just like there are many customers out there, there also exist numerous companies, which are rapidly striving to get online and combat the massive competition, from the others like them. In their bid to stay on top of the game, it is important for those companies to be able to fully understand, exactly what makes the customer tick, their likes, their dislikes, basically a full 360-degree view of their customer. What this understanding does is gives them absolute solid ground to excel at satisfying their customers and on the other hand, attracting the right kind of customers as well.

Analytics plays the most crucial role in this process as, it is the very thing that drives those ‘understand what makes the customer tick’, policies of the retail companies. Through the various functions that it carries forward, it creates insights such as, how would a company be able to increase margins at the product level, it also provides insights in what the customer is like, or why the customer would want to buy a certain product, this in the industry jargon is called as, Market Basket Analysis. The analytics help the companies also identify those items, which a customer would be very likely of purchasing together, what promotions and offers would work the very best for which products and personalized offers for every individual customer. These insights are totally customer based, but there are also those that are fully company based insights, here, analytics is able to give the insights in terms of how much spending would a company have to do, store wise product mix, optimal pricing that would get them more buyers, efficient stock strategies and so on.
Those drones that have been zooming through the sky and delivering products that the customers haven’t even probably ordered yet, is exactly where the massive power of analytics lies today. The examples of EBay, Amazon and so many others, who have successfully reaped great benefits of data analytics, goes on to prove that retailers, large and small would definitely be able to harness the miraculous benefits of analysing not only structured, but also unstructured data. There are many data analytics tools today, which have made it possible for these things, which have so long just been theoretical musings.

The revolutionary transition of big data from, just an experimental mode, to accounting for record breaking revenues for e-giants like Google, Ebay, Snapchat and so on; had made big data the biggest key aspect of marketing today. This has gotten almost everyone into a flurry of activity, to try and master the various data analytics tools that allow the conversion of plain, logical data into value based insights for business expansion. The various data analytics tools include SAS Programming, R Programming, Big Data Hadoop, Python and so on. As almost everyone tries to grapple with the knowledge of using these data analytics tools, Imarticus Learning is becoming very sought after for their tailor made, industry relevant training programs. SAS Programming is one certification that is highly recommended by all the experts in the Data Science Industry, mainly due to the fact that its been out there, for quite a long time now.
The SAS, also known as the Statistical Analysis System is basically, a collection of software products, offered by the SAS Institute. These offerings primarily enable the user to perform a wide variety of tasks that cover almost every aspect of the business landscape. Working as a one-stop shop location for performing a host of activities, is what makes for the most prominent advantage of a SAS Programming. The SAS programming tool helps a professional, to perform a host of functions from, information system support, and customer care products to even human resources management. This makes studying for the SAS programming all the more worthwhile, mainly due to its wide scope of applications.
The amount of data generated every single day, is well beyond the efforts that are being made to analyse it. With almost every firm and company out there, regardless of what field they belong to, going out and trying to mine as much data as possible, the stakes of ensuring your data is transformed into asset-like decisions has almost become a norm today. In such an age of super competition and the rapid increase of the amount of data being generated, it becomes only logical to take the help of the most experienced technology. This is what makes having a SAS Programming extremely beneficial to one’s career. SAS has literally been ruling the roost for a long while now, where most of the companies have it as they default software. While having this certification under your belt will give you great rewards in the IT industry, it can also serve as a great pay-giver on the corporate side of the economy.
The IT Industry has already recognized the universal value of SAS and hence has begun to demand for skilled employees in this particular data analytics tool. As most of the companies have this as their default software, hiring a professional who is well versed with it, is extremely beneficial to them. Thus by extension, if you are an asset to the company, chances of your development are a lot more as well. These advantages of SAS are basically the reason why this data analytics tool has gained a lot of takers in the recent years.

The 21st Century is all set to go down in history, as the age of the data. Couple of decades in the past, experienced a great surge in activity in the virtual space. Although Internet was in existence for quite a while, but it is only now that it has realised its true potential. As internet came to be accessible to more people, this gave birth to a phenomenon that came to be known as ‘data’. AS technology advanced and people got access to more technological devices, data was generated with similar speed. This ‘data’ soon began to prove instrumental for various firms and companies, to add great value to their businesses. There emerged a whole new branch of studies known as ‘big data science’ and there existed various tools of data analytics, which helped professionals to give valuable insights in the growth the development of various firms. Today, the scenario is such that data is still being generated on a great scale, while there is an increasing dearth of people, who can derive value out of it. The lucrative aspect of careers here draws a lot of professionals towards Data Science. If you are a data science aspirant, then it is important for you to know all about the various tools of data analytics; especially about Hadoop.
Hadoop is an open source software, put together by Doug Cutting, Mike Cafarella and team in the year 2005, to combat various problems that search engines like Google were facing with analysing data. This is one tool, which can be downloaded free of cost, in its full form and is also a registered trademark of the Apache Software Foundation. In terms of its basic specifications, this software runs applications, by using the MapReduce algorithm and it is capable of not only developing, but also running applications on multiple computers at the same time. It can also perform full statistical analysis on great volumes of data with ease, which is one of the reasons why this data analytics tool is sought after by all.
The Hadoop framework is written is the Java language and consists of four different modules namely, Hadoop Common, Hadoop Yarn, Hadoop Distributed File System and Hadoop MapReduce. The term Hadoop is no longer used, only in the reference of all of its base modules, but it is also used to refer to the collection of additional software packages, which can be used alongside the Hadoop software like, Python, Pig and so on. There are many advantages of this software like the fact, which is efficient enough to allow the user to write as well as test distributed systems, while utilizing the parallelism of the CPU cores. It does not rely on any hardware, rather its own library, which has been designed to detect and handle failures. Being java based is one of the great advantages of Hadoop, apart from being free and easy to download, it also is compatible on all platforms.
With the increasing popularity of this data analytics tools. Imarticus Learning, is a one of the top educational institute which is become popular due to their esteemed courses in SAS Programming, R Programming, Hadoop and so on.

Now the above title must be really very confusing and contradictory according to a lot of us. The major reason for this would be the fact that, data science in all its singularity, is a field which deals with the entire of virtual space. There are various data analytical tools such as SAS Programming, R Programming, Hadoop, Tableau, SQL, the list is endless; these tools are used to turn volumes of data into valuable insights, which help businesses and firms grow manifold. While many may argue that id the whole landscape of the field of data science is so virtual and online, then why would there be a need to have paper books written and refereed to? While attending various webinars, reading e-books, watching tutorials and so on makes absolute sense, similar is the case with books. First of all gaining information is the most important part, when it comes to researching any field, even more so with this new and upcoming field of data science. Books offer an individual to dedicate all their attention and focus to one source, devoid of any sort of distractions, including ads, pop ups and so on.
While it isn’t common knowledge, that there is a tonne of informative literature present on data science, which lets both beginners and seasoned professionals, get deeper understanding of the field of data science.
Here’s a list of books, which are highly recommended by Imarticus Learning, is a award winning education institute of Data Analytics In India. There recommendations are to both beginners as well as seasoned professionals in the field of Data Science.

Big Data A Revolution That Will Transform How We Live, Work And Think

This book is jointly authored by Viktor Mayer-Schonberger and Kenneth Cukier, both of who also happen to be two of the most popular experts in the field of data science. It consists of various intricacies of big data and the reality of the data driven world is explored herein.

Doing Data Science: Straight Talk From The Frontline

Authored by Cathy O’Neil and Rachel Schutt, this book is the go-to piece of reading for anyone who wants to know more about statistical inference, algorithms, spam filters, Naive Bayes, Data Visualization, Social Networks, Data Journalism, Financial Modeling, Logistic Regression, Data Engineering, MapReduce, Pregel, Hadoop and so on. This makes for a great read for those interested in finance as well as analytics industry.

Data Science For Business

This book is an essential read, as it explores the various real-time business problems that will arise in the worlds and how one can effectively make use of data analytics to tackle the same. This book is written by Foster Provost and is definitely a must read for data science enthusiasts.

Machine Learning For Hackers

Written by Drew Conway and John Myles White, this book is extremely ideal for programmers from any background of data science, which includes business, government, academics and so on.

The Signal And the Noise: Why So Many Predictions Fail-But Some Don’t

This is a book that makes for a must read for anyone who is interested in the intricacies of predictive analytics and why it works the way it does. Authored by Nate Silver, who is also known as the best political forecaster of his time, this book goes on to highlight the major mistakes, in the process of predictive analysis.

This is a fairly new concept, as a result of which there are a number of experts and researches who have given various definitions of ‘big data’. This term basically refers to huge amounts of structured, semi-structured and raw and unstructured data which can be used in a certain way so as to derive value based information.

In spite of having so many different definitions, it is characterized by just three V’s which are, volume, variety and velocity. Breaking these three V’s down, the first V for volume basically refers to the amount of data and its sources. Now, this data can come from a huge melange of sources like, sales records, results of scientific experiments, or various other sources from which data is extracted through various real-time sensors.

 

While the velocity of data refers to the speed at which any data can be analysed. While data can come across as either pre-processed or entirely raw before the tools of analytics are used on it. For instance any data analytics project will first take in the query, require human assistance as well as data analytics tools to study the data and then render an answer to the query.

Thus, human assistance in this field is a big pre-requisite. This may be why there has been an increasing demand for individuals who are well versed with the workings of this field.

The researchers from Berkley University found in a study that the world had produced about 1.5 billion gigabytes of information in the year 1999. When this same study was replicated in the year 2003, it was found that the amount had been doubled in just about 3 years. So by that logic, data was already getting bigger since the year 2001 and now it is believed that, the past few years alone, generated about 90% of the world’s data.

The stock markets of USA see about 7 billion shares being traded daily, while one flights from New York to London generates about 10 Terabytes of Data. The virtual world and social media generates the most amount of data through consumer records of online shopping, through e-commerce websites, websites like twitter generating about 400 million tweets daily and about 3 billion likes get generated on Facebook, per day.

With such volumes of data, floating around in the virtual space and cloud around us, there is a pressing need for professionals who excel at turning this data into value based decisions.

These professionals are either known as Data Analysts or Data Scientists and it is their responsibility of extracting the data, structuring it and storing it into servers and studying it so as to derive insights.

These tasks are accomplished by them with the help of various data analytics tools like, R Programming, SAS Programming, Python, Hadoop, and SQL and so on. Although the concept of data analytics is just not about the tools and technology, it is more about the way a person understands all the data and its effect on the market as a whole.

With careers in this field called as the sexiest careers of the 21st century, there is a lot of demand from both the companies as well as individuals. This has basically led to increase in the number of institutes offering tailor made specialization programs.

Imarticus Learning is the forerunner in the industry of data analytics programs, which are extremely compatible with the industry standards and provide assured guidance to the candidates regarding the same.

In the recent time, the data analytics industry has shown a great, unprecedented growth, what with data being generated at a lightning fast speed on a daily basis. Take any statistical report, which deals with the concept of big data and you would be astounded by the rate of which, opportunities are being created for companies, the world over, to harness the power of this data and convert it into valuable insights. When we narrow it down to just India, researchers state that in the next 10 years, there’s bound to be an eight-fold growth and the data analytics industry, is expected to reach $16 billion in worth. This would get India a position amongst the top three analytics markets, on a global level. Although right now, this seems like a faraway reality, mainly due to the vagueness that surrounds this particular sphere. Currently, there is a lack of the right skills, being available for the job, which has the chances of overshooting the demand for data scientists in the near future. The announcement by Harvard Business Review, which called Data Science as the sexiest career of the 21st Century, has led to a major increase amongst the data science aspirants.
This has also contributed to Imarticus, being one of the most sought after institutes in the sphere of data science. Recently, Imarticus collaborated with Genpact, which is a leader in designing, transforming and running business process operations, in the capacity of their knowledge partner. This collaboration would be instrumental in furthering the endeavor of Imarticus, to bridge the wide skillgap, which is currently prevalent especially in the Data Analytics Space. Imarticus has also received a number of accolades including the #1 Big Data Training Institute by Silicon India, as well as secured its position as one of the top 4 analytics training institutes in India.
They offer the best courses when it comes to data science, some of their esteemed courses are listed below:

Certificate In Data Science And SAS

This course is one of their, extensive short term courses and has a curriculum, which includes Base SAS and Predictive Analytics, Multivariate Analytics, Optimization and Forecasting using advanced statistical models. The unique feature here is, apart from being entirely industry-endorsed, this program is run by SAS specialists or experienced professionals in the sphere of data analytics. Apart from inculcating features like live case studies and business problems, this program also offers candidates, with an industry endorsed as well as prepares the candidates to crack two more internationally renowned certifications namely, Bases SAS and Predictive Modeling from SAS Institute.

Diploma In Big Data And Analytics

This program strives to provide a methodical understanding of Data Science and Big Data in a unique hands-on learning experience, with the help of data analytics tools like, SAS, Hadoop, Python, Tableau. It also allows the candidate to specialize either in the data analytics tools like Python or R. Apart from this, the highlight of this program is the one month integrated internship, which is followed by placement at India’s leading Analytics firms. This program is painstakingly designed, while keeping in mind the needs of an evolving Analytics industry, which is always on the look out for individuals, that are job ready.