Data Analytics, Data Science, Big Data - These are not just buzzwords, but catalysts in ensuring a heavy pay package. Here are some stats and information you need to know about this trending topic.
What does research say about Big Data?
According to the Analytics and Big Data Salary Report 2016 by Jigsaw Academy and Analytics Vidhya, the analytics and big data sector saw a consistent growth over the last five years despite an increasingly uncertain global outlook. The market for advanced analytics is expected to grow at a compound annual growth rate (CAGR) of 33.2 per cent and big data at a CAGR of 26.4 per cent.
Pay Scale for Data Science Jobs
What is even interesting to note is that Analysts skilled in both Big Data and Data Science are offered a handsome pay package. In fact, 26% more, taking the highest recorded salary to ₹ 13.1 lakhs per annum.
Sexiest Job of 21st Century
In spite of the fact that Data Scientist has emerged as 'The Sexiest Job of the 21st century', as per a Harvard Business Review report, data analytics has been seeing the biggest shortage of talent worldwide.
Top Universities Offer Data Science
Data science has emerged as one of the most rewarding streams and will get stronger in coming times. So, if you are considering to launch, shift, or accelerate a career in Data Science and time or money is restraining you from excelling at a data science job, then, thanks to the era of online learning, you can begin exploring data science from the comfort of your own home, and for a fraction of the cost of academia or retraining. The fact that many of these courses are offered in partnership with top universities from around the world makes it much more valuable.
Here's a list of analytical skills essential to start a new career or take your existing data science career to the next level.
|S.NO.||SKILL REQUIRED||JOB DESCRIPTION||COURSE NAME||UNIVERSITY OFFERING COURSE|
|1||Hadoop||Explore and analyze complex datasets using the popular Hadoop framework.||Big Data||UC San Diego|
|2||Machine Learning||Use data to make predictions and build recommender systems.||Machine Learning||Stanford University|
|3||Data Warehousing||Construct and manipulate a central repository of business data.||Data Warehousing for Business Intelligence||University of Colorado|
|4||Data Mining||Use techniques like pattern discovery and clustering to extract insights from data.||Data Mining||University of Illinois at Urbana-Champaign|
|5||SAS (Statistical Analysis System)||Manage, visualize, and model data using the SAS software suite.||Data Analysis and Interpretation||Wesleyan University|
|6||Data Modeling||Create conceptual models of complex databases and software systems.||Data Science at Scale||University of Washington|