What are the
pre-requisites to start a career in Data Science?
When a person decides to start his career
as a Data Scientist, he has simple questions in his mind. These questions can
make them repeatedly think about the requirements of skills, and degrees to
become a successful data scientist.
If you feel the same in your path to
becoming a data scientist, you have to understand different prerequisites to
start your career as a data scientist. If you are skilled enough to show your
abilities to become a data scientist, you can easily crack all the pathways.
A data scientist needs a complete set of
skills, application development abilities, database query, programming
language, stats, mathematics, and other crucial tools. You can also become a
data scientist in a specific department if you don't possess all these skills.
All you need is a complete understanding
of the data scientist work profile in that particular stream, and your
abilities to perform the tasks. Previously data scientists didn't possess all these
skills, but their abilities made them successful.
Is a master's degree or PhD being must to
become a data scientist?
There are many beliefs that data
scientists need a Master's degree or a PhD. Lack of a highly recognized degree
cannot shatter your dream to become a data scientist. A person with complete
knowledge of data management, technical skills, and statistical analysis can
achieve the dream of becoming a successful data scientist.
A master's degree or PhD can give you
access to become a data scientist. Still, it is unnecessary to have the right
skills, and knowledge to manage every organization's data. PhD only matters
when you plan to apply for the senior posts in the organization, but to learn
data science and junior positions, and you don't require higher degrees.
Read More: What are the best institutes to study data science in Bangalore
How are Mathematics and Statistics
important in data science?
Mathematics and Statistics are the base of
data science, and several data scientist are from the engineering background,
mathematics background, and statistics background. Various data scientists are
operating with a bachelor's degree in statistics and machine learning, but it
is not compulsory to become a data scientist.
If you are familiar with the basic
concepts of mathematics, algebra, calculus, and probability, you can start
learning data science. These subjects are sufficient to clear your path in
becoming a data scientist.
What are the crucial programming languages
to learn?
Most of the data scientists possess their
codes on SQL and prepare SQL scripts. It is a primary tool for data scientists
to manage ample data in the given time. If you want to become a successful data
scientist, you should know how to run codes on SQL, solve queries in SQL, and
other SQL operations.
It is
not necessary to go into deep learning of SQL to prove your skills in data
science. Having a basic knowledge of SQL, and its application is sufficient for
a data scientist to manage every piece of data in an organization.
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