Being a data scientist isn’t just about the “data,” or being a “scientist.” As Tom Davenport, visiting professor at Harvard University and author of Competing on Analytics put it, a true data scientist is one who uses his or her imagination to look at information in a different way.
We are already aware of how big Big Data is and how it will be the next ‘big thing’. Data Scientist job has been named the sexiest job of 21st century. So, let’s cut to the chase and talk about what makes it a sexy job.
According to Anuj Bhambhri, VP of Big Data Products, IBM, “A Data Scientist is somebody who is inquisitive, who can stare at data and spot trends. It’s almost like a Renaissance individual who really wants to learn and bring change to an organization”.
So, Data Scientists are people who can understand and provide meaning to the loads and piles of data that companies collect. And, if you are looking into a career as data scientist, you will soon be one of the most sought after in the industry.
There is a misconception that Data Scientist is a single job. In fact, there are different types of Data Scientists and different job titles that go with the role played by them. Each job title handles the role of handling data in a different manner. To get in-depth knowledge on Data Science, you can enroll for live Data Science Certification Training by Edureka with 24/7 support and lifetime access.
Job Titles for Data Scientists
Data Base Administrators
Administrating the collected data is an important task for organizations’ decisions. They make use of multiple software tools to store and organize data for further analysis.
People with traditional programming and Business Intelligence background also good at dealing data ambiguity, have all the prerequisites to become Data Architects. They are often familiar with undefined and unstructured type of data and statistics. Data Architects are also creative enough to harness the data in new ways for new insights.
Data Visualizers are technologists who translate data analytics into vital information for businesses to use. They manage to harness the data analytics in layman’s language, to be able to communicate the outcome to all the parts of the company.
Data engineers are the heart and soul of ‘Data Science’. They are responsible for designing, building and managing the Big Data infrastructure. They do play a major role in developing the architecture to analyze and process the data according to the business need.
They help when you are stuck on finding a particular file from your over-loaded system! Data Ecologists create and manage data on public and private clouds, making it easily accessible.
Edureka has a specially curated Data Science course which helps you gain expertise in Machine Learning Algorithms like K-Means Clustering, Decision Trees, Random Forest, Naive Bayes. You’ll learn the concepts of Statistics, Time Series, Text Mining and an introduction to Deep Learning as well. New batches for this course are starting soon!!