Data Analytics

Analytics Career Path – 5 things you must know

Before you plunge headlong into analytics as your chosen career path, you need to know whether you are have the right skills for the fast developing analytics industry.

Once you are confident you have what it takes to be a data analyst or scientist, the next logical step is to

5 Skills you need to become an Analytics Professional

 

Looking for a career change or a specialized training that is guaranteed to result in a sizeable salary with plentiful benefits? Then Data science or Analytics is what you need to look at.

With more companies using voluminous data, the demand for data analysts or data scientists, who can

How to learn popular analytics tools on your own – Apache Hadoop

Often it makes sense to learn the basics of the technologies in use before learning them formally. There are plenty of resources on the internet that give you an insight into how you could download for free and work on analytics tools to comprehend the ecosystem.

We begin with open source software projects.

Apache Hadoop

To learn Hadoop, you need to be familiar with the Linux based

A Rundown on Analytics friendly Big Data technologies

The rise in unstructured data is driving organizations to optimise large workloads of data to enhance greater accuracy and prediction. Core software platforms and programming models focused on Distributed File System (DFS) for near real-time BD processing are being developed. With these software ecosystems as the mainstay, established IT vendors are moving into the world of Big Data with offering

Estimate how many fishes can fit in a pond (Analytics Interview Question) – Answer

How can you estimate the population of fishes in a pond? (recently asked in an analytics job interview).

It’s a classic estimation problem. There is a popular sampling method called capture – recapture or ‘Lincoln Index’ or ‘Pieterson’s Method’ which is used to estimate the size of an animal or human population. There are two versions of this method; we’ll discuss the simpler version (for the m

Top 10 Skills for Web Analytics

If you have a blog, host a website or are placed in charge of online marketing, you are probably familiar with the term web analytics or web metrics. Stats such as these must be pretty familiar to you.

SAS programming career @ health care industry

SAS programming as a career choice is becoming exhilarating day by day. SAS is the most powerful software used in all sectors dat

Risk Agents

The lowdown :
An actuary is an expert who applies statistical and mathematical methods to assess financial and other risks relating to various contingent events such as mortality, sickness, injury, retirement and property loss from theft, accident, fire or any other hazard. An actuary uses data analysis for valuation of financial products in the fi

Indian IT to create new industry around Big Data

Is the Indian outsourcing scene going through a paradigm shift in terms of adding value to their clients? Analytics niche companies and the analytics division of established outsourcing companies might just elevate Indian outsourcing companies from mere cost cutting vendors to full-fledged strategic business partners. The following Economic Times article talks just about this paradigm shift.

BA

Why is Soft Side of Analytics so Hard to Manage?

We all love the “hard” side of analytics. What we often struggle with as analysts is what you might call the “soft” side of analytics, which is always more challenging than the “hard” stuff. Here are a few of the reasons why.

Many times, the problem is not insufficient data, defective data, inadequate data models or even incompetent analysis. Often, the reason that better decisions

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