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 explore the analytics career path. Whether
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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 filter massive information, detect patterns and draw
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We wrap up this DIY (Do-It-Yourself) series for learning some popular analytics tools, with the SPSS statistical software.
IBM SPSS Statistics
Learning the SPSS statistical software is no big deal when you have a statistics and computing background. There are some excellent resources on the web that will help you learn and use SPSS. This offering from
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SAS Software suite
If you are planning to make your career in analytics or want enhance your CV then you need to get SAS certified. SAS is the software that forms the backbone of the analytics industry, and has today evolved as a tool for data analysis in a BI (Business Intelligence) environment.
The most comprehensive guide
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‘R’ Statistical Software
Known as the open statistical software, the learning curve for 'R' is pretty easy even for non-geeks and non-statistical professionals. This is one software you can definitely master on your own. So to learn the ‘lingua franca’ of data science, let’s get cracking!
R is multi-platform compatible - Windows PC, Mac, Linux, name it
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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,
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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
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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
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It is all over the internet and media.
Big Data is the next best thing in IT and Analytics. Organizations with constantly growing database are moving over to Big Data technologies. IT developers, DB administrators and computer geeks are exploring avenues to honeg their skills in Big Data and Big Analytics.
The buzz about ‘Big Data’ has
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If your organization works with data, you are probably working with Relational Database Management Systems (RDBMS) and desktop statistics and visualisation technologies. As your organisation expands horizontally and scales vertically, you may find the size of your data extending beyond hundreds of gigabytes to hundreds of terabytes and more! While most of the data lies
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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.
However, if you are looking to hone your skills in web analytics or enroll in a formal course
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SAS programming as a career choice is becoming exhilarating day by day. SAS is the most powerful software used in all sectors data analytics industry. The following fascinating article gives you excellent overview about the career choices typical categories of career, positions offered and skills needed for the job by the companies in health care
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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 field of insurance,
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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
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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
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Dig for gold
Data mining is a hot new job, and it’s making number crunching sexy. Prasun Chaudhuri looks at what it takes to become a data whizkid
Mousum Datta is a miner who digs out precious resources. But his form of mining doesn’t involve drilling machines or gigantic trucks — just smart software, immense patience and
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