Technical and Non-Technical Skills to Become a Data Scientist?
With Big Data taking
over every industry across the globe, Data Scientists has also started gaining
a good attention of the world. Whether it is to increase the customer
retention, mine data for enhanced business opportunities or to deal with the
process of product crop an expert data scientist can show any business the
actual path to success.
This consistently
increased demand for the Data Scientists has made it obvious for the employers
to hire the best one. So here for those who are willing to be the Data
Scientist expert, I am going to tell about the technical and non-technical
skills required to become a Data Scientist:
If you are a potential
data scientist then you can go with these skills and make your data science
career shining.
Technical Skills required to become A
successful Data Scientist:
Knowledge of data
mining, process the bulk of data, big data processing, statistical analysis are
some of the vital technical skills required to become a professional data
scientist. Which ultimately means you should be good with maths, statistics and
programming and to meet this you should have a glorious academic background.
Data scientist usually
holds a master degree in computer science, Ph.D. or engineering degree and thus
having a strong foundation to deal with core knowledge of data scientist.
One can even also join
NPN Training's Hadoop certification training in Bangalore to make strong data
scientist base. This will help you gain the complete understanding of the
subject along with some live projects.
Other required technical skills to become a
Data Scientist:
Programming:
Programming is a must
for data scientists. One should have a thorough knowledge of V, C++, Python,
Java, SQL, etc. However, you should be an expert of python as this what you
will need the most. This programming language aids you with the organization of
the data presented in the unstructured format.
Knowledge of analytical tools and SAS:
The better
understanding of the analytical tools will help you to clean and organize the
data sets. Hadoop, HIVE, SAS, PIG and R are must to become the data scientist
and the certification in these analytical tools help you become the expert in
the field.
Know how to handle the unstructured data:
When we focus on the
ability to handle the unstructured data we want the entire data scientist to
know that the vast amount of data they will be dealing with will be available
in the unstructured format. This means you should know how to deal with every
field from marketing to social media that are the major sources of unstructured
data.
Non-technical Skills Required To Become A
successful Data Scientist:
Apart from technical a
data scientist should have these non-technical skills as well, to become a
great professional.
Strong business
sagacity:
In addition to all the
mentioned technical skills, a strong business scene helps you take your company
in the direction of growth.
Good communication
skills: if you are the one having the best knowledge of Data handling, then you
should know how to explain this to your team and a good communication skill is
a must for that.
You can get the best Hadoop
certification training in Bangalore at NPN Training and become the
professional data scientist.
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