How to Become a Data Scientist - The Skills, Certifications and Education You Need
Data
science refers to the process of extracting meaningful information and insights
from huge amount of both structured and unstructured data by using various tools, algorithms, artificial intelligence (AI), statistics, mathematics, programming,
problem-solving, and machine learning principles among others. In other
words, data science is the study of where information comes from, what it
represents and how this information can be efficiently processed to help
businesses offer better customer experiences and thus gain a competitive
advantage in the marketplace. Discovering
hidden patterns from the raw data and extracting insights and information from
it can help organizations predict customer behavior in a more efficient way.
This in turn can help an organization serve its customer more efficiently, rein
in costs, recognize new market opportunities, offer better products and
services and subsequently gain a significant advantage
over its competitors.
A
data scientist makes use of AI, complex algorithms, cluster analysis,
statistics, mathematics, machine learning algorithms etc. to predict the
occurrence of a particular event in the future. A Data Scientist looks at
the data from many angles, sometimes angles not known earlier. Perhaps the most
important skill a data scientist must possess is the ability to present the
insights gained from data, and its significance, to top management in a meaningful and easy
to understand manner.
Skills Required for
Data Scientists
Data scientists need to be data-driven problem-solver and
must possess formidable skills in mathematics, statistics, programming,
analytics, machine learning and data mining in addition to experience in
algorithms and coding. Python is the most common coding language that is
used in data science along with Java, Perl and
C/C++. You also need to have the ability to
work with huge amount of unstructured data as well as sound knowledge of database querying languages like SQL.
Education Background
To become a data
scientist, the basic educational requirement is a bachelor’s degree in a
computing related field. A degree in computer engineering, computer science,
MIS, informatics or anything like that will do the job. The sound knowledge of
mathematics, statistics and analysis and a strong academic background in
computing is strongly recommended to kick-start your career as a data scientist. Those with a
master’s or doctorate degree before starting the career may discover data
science as an extremely challenging and remunerative career option as they may
find a place directly into mid-level or top-level management.
Certifications Required
Basic training to acquaint you into data science is
available through massively open online courses. These courses aim to instill a
basic knowledge of data science into students. Further, to broaden technical
knowledge base, there are a wide range of topics and specializations to take
into consideration data science
certifications. These
certifications may relate to big data platform or a particular toolset such as Certified Analytics Professional, Oracle or SAS
certifications, etc.
Comments
Post a Comment