Data Scientists are professionals who can analyze and explain complex digital data. They organize varying data elements with various techniques including signal processing, mathematics, probability models, machine learning, statistical learning, computer programming, visualization, data warehousing, and high performance computing with the goal of extracting meaning from data and creating data products.
To start your career as a Data Scientist, you are required to having a clear knowledge in Data Science. A Data Scientist dealing with the big data an important aspect of data science.
Our tech-based economy, so dependent on digital information, has profoundly reshaped the American workforce over the last quarter century. As with so many employment sectors, that transformation crept into marketing. By all accounts, the demand for marketers who can run a regression analysis is outpacing the need for brand analysts by a very wide margin.
The step counters, the search trackers, the location scouts, the social network mappers, the electronic personal assistant, the assortment of gadgets that hoard the output of our existence and file it away for careful consideration by pattern-seeking mercenaries skilled at crunching that volume of knowledge—that’s where the jobs are.
If the demand for data science is as real as experts are saying it is, how much can be learned by established professionals looking to boost their prospects throughout the back half of their careers?
The best jobs right now in America include titles like data scientist, data engineer, and business analyst. Yet too often, employers find it tough to make a match. Business wants different skills than those possessed by existing and emerging workers. And while this isn't a new problem, it is a big one.
The good news is that this problem is not insurmountable. To help you think about what this means for your own hiring, we've worked with the Business-Higher Education Forum to examine the landscape of jobs requiring data science and analytics competencies and skills. We'd like to share our data-driven predictions about what you will need to do to hire the best in 2017.
