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Amit Goyal

Amit Goyal is an avid Education Technologist who leads edX for India region. He's also known as the man behind 'Aakash' the cheapest tablet PC of the world. Amit has worked extensively with leading tech companies in domestic and International markets and launched tech-enabled learning solutions for Test Prep, Vocational, and Higher-Ed segments.

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30 - 60% Salary Hike In Big Data Jobs. Continuous Upskill Is The Key To Stay Relevant

The best part of switching to a Big Data career is that you don’t have to bank on astronomically priced degrees from heritage educational institutions. There are Online Training portals who are doing an exceptional job in making high-quality education accessible to all.

Today businesses understand the power of data, and as it gets easier for almost everyone to start gathering and utilizing data on just about anything, you really need to recognize and value the exciting field of – BIG DATA. Yes, Big Data is getting bigger and bigger every passing day, and the potentials for constant growth are quite apparent.

Huge Demand For Skilled Professional In Data Related Jobs

Big Data isn’t a buzzword anymore, today it’s more of a movement. With enormous amounts of data being generated in real-time, there is a massive demand for people with the right skills to manage and analyze it, so that the organizations can make effective use of it.

According to the IDC forecast, “Big data market will be worth $46.34 billion by 2018” and Big data technology and associated services market is likely to grow at a compound annual growth rate (CAGR) of 23.1% from 2014 to 2019. IDC believes, the availability of talent with the right skills to analyze big data will control the Big Data market in the future. (Source)

A McKinsey Global Institute study says, by 2018, the United States would be facing a shortage of about 190,000 data scientists and 1.5 million managers and analysts who can efficiently understand and make decisions using Big Data. So, are you ready to take advantage of this gap?

Big Data As A Career Move

Big Data is one of the hottest career options today, here are few reasons to help you see the big picture.

  • Big Data Is Used Everywhere – Owing to its awesome features Big Data is in huge demand today. Yes, it is being used almost everywhere, which also means there are job opportunities across various domains. Healthcare, consumer, manufacturing, technology and banking, you name and its there.
  • Most Trending Expertise –  According to a recent study by Canonical, titled: Defining IoT Business Models, 75% of IoT providers say that data analytics and big data skills are the most in-demand skill set they look for in candidates. Big data expertise saw and is seeing the largest increase in demand.
  • Competitive Salary – Well, the monetary perks of moving to a Data Analytics career is huge. The average salaries for jobs with titles related to Big Data are Big Data Scientist, US$123,000, Lead Data Scientist, US$108,000, Data Scientist and Principal Data Scientist US$102,000. (Source: edureka!)
  • Chance To Work With Big Brands - IBM, Microsoft, HP, SAP, and Oracle are rigorously posting job opportunities for exploring their Big Data research. Also, apart from the big brands, startups are also offering great opportunities in this field.
  • Growth Opportunity – With Big Data growing at such a rapid pace, how could your career possibly grow any slower? The only trick for Big Data professionals is to be updated and learn.
  • Numerous Choices in Job Titles – This big field is also filled with big job opportunities. Organizations irrespective of their industries are looking for Big Data professionals with diverse skills sets. Check out the top 5 job titles that companies are hunting out for:
    • Database Administrator
    • Data Scientist
    • Data Architect
    • Database Manager
    • Big Data Engineer

Charge Your Career In Big Data, Here Is The Knowledge Required 

Becoming a Big Data professional is not limited to specific group of people. But of course, having a strong information technology (IT) background is a plus point as it gives a leg up on the competition. To be a big data professional, one needs to master five essential skills, here they are:

  • Programming - Learning how to code is one of the most important skill in a Big Data analyst’s arsenal. Few of the languages one should know are Python, R, Java, and C++ among others. The idea is, having the ability to think like programmer helps in becoming a great big data analyst. Free certification courses are a big value add towards a career in Big Data.
  • Quantitative Skills – Having a sound foundation in numerical analysis is another important requirement. One needs to know multivariable calculus, linear and matrix algebra, probability and statistics well.
  • Know Multiple Technologies – learning different technologies is an icing on the top as it helps in growing as a Big Data professional. Learn key technologies and techniques in Big Data Analytics program from edX, these are the key to help you understand and analyze large-scale data sets to uncover business information.
  • Interpretation of Data – Big Data jobs are just not technical, it is also about combining art and science. Learn the core concepts of computational thinking and how to collect, clean and consolidate large-scale datasets with this Free Computational Thinking and Big Data program.

The best part of switching to a Big Data career is that you don’t have to bank on astronomically priced degrees from heritage educational institutions. There are Online Training portals who are doing an exceptional job in making high-quality education accessible to all.

Learn more about Big data and how it transforms business. You have the option of learning our Big Data Programs by enrolling in a self-paced training course for free.

Well, when it comes to Big Data, if you are not updated, you are simply outdated. Yes, to stay relevant in this field, continuous upgrading is needed; and you can’t be silly enough to let go when it comes for free.

Disclaimer: The views expressed in the article above are those of the authors' and do not necessarily represent or reflect the views of this publishing house

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