Data Science – A Strong Career Prospect in 2017

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Data Science – A strong career prospect in 2017

Shraddha Surana’s college didn’t offer robust Machine Learning/Artificial Intelligence curriculum, which is when she found Coursera, and was able to add skills to her masters’ thesis. She also did a specialization in data analytics that helped her in building her data science skills. She credits Coursera for helping her land the job she currently has.

Data Analytics, Data Science, Big Data – These are not just buzzwords, but catalysts in ensuring a heavy pay package. 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.

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.

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.

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.

1
Skill : Hadoop
Explore and analyze complex datasets using the popular Hadoop framework.
Big Data
UC San Diego
2
Skill : Machine Learning
Use data to make predictions and build recommender systems.
Machine Learning
Stanford University
3
Skill : Data Warehousing
Construct and manipulate a central repository of business data.
Data Warehousing for Business Intelligence
University of Colorado
4
Skill : Data Mining
Use techniques like pattern discovery and clustering to extract insights from data.
Data Mining
University of Illinois at Urbana-Champaign
5
Skill : SAS (Statistical Analysis System)
Manage, visualize, and model data using the SAS software suite.
Data Analysis and Interpretation
Wesleyan University
6
Skill : Data Modeling
Create conceptual models of complex databases and software systems.
Data Science at Scale
University of Washington