The global need for big data, analytics, and data science specialists are intensifying every day with its escalating significance across various segments. Artificial Intelligence, machine learning, and data science have made analytics the most sought-after professions globally. There is an upsurge in demand for exceedingly skilled professionals, and businesses are on a steadfast lookout for professionals who can saturate the gap.
The Harvard Business Review called ‘Data Scientists’ as the ‘Sexiest Job of the 21st Century’. Undoubtedly, it has become the fascination of thousands of youngsters. Moreover, the induction of automation in several industries has boosted the need for Data Scientists, to develop machine learning techniques using mathematics, statistics, and computer science and information technology.
By Suresh Krishnaswamy, CoE, Big Data and Analytics, 361DM
Customer journey in the digital world is no longer about understanding and managing the various customer touch points. There is a need to understand and observe customers across the journey on various channels.
difference between a job and a career is simple. When you leave a job, you
leave behind a vacancy to fill. When you are done with your career, you leave
behind a lasting legacy. So ask yourself- am I moving from one job to another
or am I building a solid path that in retrospection will see the dots getting
connected? Your career is your piece of artwork, which you start from scratch
on a blank canvas. How you mold yourself will determine the path that you take.
As a working professional, your work day will be choc-a-bloc busy. However, you may feel the need to invest your time, money and efforts prudently to pursue your higher education goals simultaneously.
Author: Charanpreet Singh, Co-founder Praxis Business School
Business Analytics, Data Analytics, Data Science are the new stars on the career horizon – Harvard Business Review triggered the zeal by calling Data Science the sexiest job in the twenty first century; and Forbes put the issue beyond doubt by ranking Data Science as the top job in the US in 2016. Add to that the fact that McKinsey reported a shortage of about 200,000 data scientists in the US alone, and, add to that the fact that India accounts for about 70% of the total analytics work across the globe – and you have a heady cocktail of glamour and opportunity.
Navigating a fuzzy tomorrow: The future of jobs