Category: Analytics

Every Data Science aspirant, at one point or another, has asked themselves one impending question. What makes a good SAS course? OR Whether I should pursue a SAS course? All those novices in the field of Data Analytics, have time and again questioned themselves as to why would they want to do a course in SAS programming?

Like any other general course, any candidate who is willing to seek more knowledge and deep understanding of the world of Data Science is willing to take a course in SAS, mainly because this software is used by the largest section of the data analytics fraternity.

While every once in a while, every data aspirant is plagued with a doubt, “what if I take help of the internet to study?” While the biggest upside of doing this is the fact that you would get unlimited access to a lot of free material and you would be at the absolute leisure, of being able to decide the pace of your course.

But the downside here is that, there is a plethora of material out there, but no indication of which is the most relevant material, that you would require in specific for your need. This is exactly where, the guidance of an expert individual and the help of relevant study material to back it up, becomes very important.

This is probably the only reason why you must pursue a course in SAS. But what does really make a good SAS course?

The first and foremost thing that matters when it comes to any course is its curriculum. It also makes for one of the most frequent complaints, which a course curriculum always tends to bend a lot more on the theoretical side. A good SAS course must include relevant content as well as a strong connection between theory and practical, real life scenarios. Any good course has to be either run or designed by experts in that very field.

So when it comes to SAS, a good course would that, which is entirely run by experts in the data science industry, with a sterling experience. As these  courses are usually of very short duration, as a result of which it is imperative that these have a lot of quality material, supplemented herein.

Many SAS courses tend to just end after the theoretical part, with a little to almost no mentoring whatsoever. Many professionals who take up these courses are new to the field of data science and as a result, are not very familiar with the nuances that this field compromises of. This is where the role of mentors comes into importance.

These would be like the guiding stones for a professional. These people can prove instrumental in providing great guidance and career assistance to those candidates, who are looking to start off their career in data analytics.
While very few institutes are able to strike a balance between all of these factors, that make for a good SAS course.

The field of Finance is one of the fastest growing fields in India. Apart from being extremely challenging, as a career option it also is very rewarding. There are a lot of avenues in this field like investment banking, mergers and acquisitions, private equity, securities, stock market and many others. While there are a lot of graduate and post graduate courses through which people get into this field; an MBA in Finance is considered to be the go to course.
An MBA in Finance is rather longer in duration (around 2-3 years) and tends to run a bit tedious. To get admission into an MBA course, one is required to have about 5 to 7 years of professional experience as well. These and a few more reasons have led to the rise in people opting for either a Masters degree, or a Diploma course. These type of courses are usually short term and very intensive learning oriented. As their duration is shorter, they do not require any prior working experience, neither are they highly priced.
There are a lot of institutes that offer certification programs in investment banking, financial valuation and modeling; there are also diploma programs offered in Corporate Finance, Wealth Management , Retail Banking and so on. It is a common misconception that doing these courses won’t add any substance to a resume. Apart from being very adept at being at par with the industry standards, some of these courses also include mentoring sessions with experts of the Industry. Some of these courses also offer internships with leading firms after completion, thus offering the much needed hands on experience for the candidates.
There are a lot of career options for someone holding a diploma degree. One can start from the position of an Analyst and work with banks, individuals, private firms and help them invest depending on the current situation of the market. One can become a Financial Analyst by getting licenses and certifications like Chartered Financial Analyst and can deal with the buying and selling of securities and bonds. Other career options include positions like the Financial Managers, Insurance Specialists, Brokers who deal in the stock market and Commercial Banking where one deals with management of financial services, the much coveted positions in Investment Banking and many more.
The salary aspects in careers after a Diploma in Finance are also very good-looking and with proper interest and experience, one can definitely further their career similar to that of a career of an MBA. When it comes to careers in Finance, the learning process is lifelong and just acquiring a degree doesn’t halt it. With each new post, deal or a responsibility, one gets to learn so much more at every level and aspect. Thus although one can go for higher courses with time, diploma courses and certification programs in finance do add value.
Imarticus Learning is a leading education institute, which offers both certification programs and diploma courses in Corporate Finance, Wealth Management, Retail Banking and more.

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.