Data Scientists are a new generation of
analytical
specialists who have the technical skills to solve complex problems - and
the curiosity to explore which problems need solving.
They are also a sign of modern times. Data
scientists have not been on the radar for a decade, but its sudden popularity
reflects how companies now think about big data . This
incredible mass of unstructured
information can no longer be ignored and forgotten. It's a virtual
goldmine that helps increase revenue - as long as someone digs and digs up
business insights that no one had ever thought of looking for. Enter the Data Scientist .
For the wider community, a Data
Scientist is one of those Data Wizards who can acquire masses of data from
various sources and then clean, treat, organize and prepare the data and
then tap into your Math, Statistics, and Machine Learning skills to uncover
hidden business insights and generate intelligence.
The data used by a Data Scientist can
be either structured (ERP or CRM
transactional databases, for example) and unstructured (emails, images,
videos, or social network data). The Data Scientist creates algorithms to
extract insights from this data. It is then up to the Data Scientist to
present this data so that decision makers can use the outcome of the analysis
when defining business strategies or even to create new data-based products or
services.
A
Data Scientist represents an evolution of the role of Business Analyst or Data
Analyst. These professionals have a solid foundation usually in computer
science, applications, modeling, statistics, analysis and mathematics. What
defines the Data Scientist is the strong business vision, coupled with the
ability to communicate results to both business leaders and their peers in a
way that influences how an organization positions itself in the face of market
challenges.
There is no training that
prepares Data Scientists as this is a relatively new profession. There has
been a lot of debate about this in the academic environment as the market needs
professionals now and the preparation time for a professional with these skills
may take some time. And so technical training in certain areas can help
prepare these professionals. Data Science
Course In Bangalore, there are courses focused on various areas, there are
three common skills: programming, statistics, and business insights. With this
knowledge added to the ability to communicate you can be a data scientist.
With so much information about the Data
Scientist profession and its exponential growth in recent years, it is easy to
get lost in the face of so many magical formulas and articles on which path to
take there is no easy way to become a Data Scientist! Data science course
in Bangalore will let you learn all necessary things and learn different
techniques and have interdisciplinary knowledge. For this reason, Data
Scientists are well paid and hard to find in the market.