SKILLS & TECHNIQUES

Julia Vs Python – Which programming language should you learn to enter the data science industry today?

Image Reference : https://www.techlabe.com/2018/11/julia-vs-python-whichprogramming.html

 

Introductions first

A new ent

Addressing the skill gap in Engineering Jobs in 2019

 

  • “Only 1.7% of engineers in India fit into new-age jobs”
  • “80% Indian engineers unfit for any job”: Study
  • “Just 3% of desi techies have AI skills”

Commonly used Business Analytics Techniques

Statistics is the backbone of Analytics. Over the course of time considering the huge amount and various types of data simple statistical measures have proved inconsistent. Thus various advanced business analytics tools have been developed using statistical methods such as regression, time series, clustering, forecasting which are not only able to handle large data

Personalisation – the mantra of Digital Marketing and eCommerce

From being an obscure backstage performer to emerging as the hottest technology-in-use, personalization has come a long way. Deployed across multiple platforms, devices and on-site sensors, used by small digital marketers to ecommerce giants like Amazon, personalization has become the mantra of every business performing in the digital space.

While Google may have kick-started the process of the

What ‘skills’ do you need for a career shift to Analytics?

Last month, we explored how you could make a career shift to Analytics.

You may ask what about skills needed to make this transition.

Several questions must be plaguing you.

Do I need ‘deep’ statistical knowledge?

Which tools should I l

Why Data Dredging is trending

“If you torture the data long enough, it will confess to anything.”   — Ronald Coase, British economist

 If you thought DATA was only ‘mined’ and ‘extracted’ for analysis, take a look at this frequently used method of ‘data dredging’.

As we move over from traditional eyeballing of statistical data to dig deeper into

Why you need to upgrade your CV with skills and certifications

Today, a stand-alone degree or post-grad, is not sufficient to make you stand out in your chosen field of career.  As industries and businesses become more competitive, global and specialised, you need to keep pace with changing environments and IT systems.

If you are a fresh student, you certainly have the advantage of being familiar with emerging business models as they form part of your stu

Common Analytics Interview Questions – SAS Analytics

At IVY Professional School, we have addressed common Analytics Interview Questions from time to time. In keeping with the emerging demands of the profession, we begin a monthly series of resource blogs featuring common interview questions in various areas – SAS analytics, Business analytics, C

Why every Data Professional should master MS Excel

Whether you are an analytics pundit or a newbie wanting to work with data, you simply cannot ignore the ubiquitous Microsoft Excel.

From being a simple spreadsheet programme containing loads of data, MS Excel has emerged as a BI tool, indispensable for data professionals. Its unlimited potential to work with data and statistical analyses makes it a robust, feature-filled tool that can be levera

Why Visual Analytics is Trending

 

Tableau

It is all over the place. Analytics has gone ‘visual’ in a big way.

So what’s with Visual Analytics, the