Data
Science: A Brief Introduction-
Facial recognition, Speech pattern
recognition, Fingerprint recognition, Retina Scans are all modern tools to make
us happy. Online Price Comparison, Airline Ticket booking, Movie ticket
booking, Calculation of time taken, etc. are some fancy modern tech to help us
live. But, have you ever thought, how do they work?
Yes, they are what we call data science or
rather big data handling. These are some of the few notable uses of data
science. Data
Science generally refers to extracting meaningful data from lots and
lots of data. Nowadays, data science has progressed a lot and helps develop our
technology as we know it.
Future of Data Science-
Self-driving cars to humanoid robots,
everything will need the help of data science to work. Since the data that is
being stored on the servers is overflowing, new technologies like clouds have
been developed to overcome that problem. The data in its raw unprocessed form
is of no use to us. This is how data science will help us to sort and filter
the data according to our use and need.
What does Data Science include?
Data Scientists are expert in the field of mathematics,
programming and should have analytical thinking skills. Since Data
Science is a very widespread topic. People nowadays focus on specific
parts of it like – Machine Learning, Deep Learning, Neural Networks, Data
Mining, Forecasting Analytics, etc.
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Importance of data science:
Here are a few reasons why data science is so
lucrative and is gaining importance nowadays-
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Challenges faced by Data
scientists-
Although data science is a lucrative and
promising field, it also faces challenges that need to be overcome. Some of the
challenges are-
§ Dirty
or corrupted data – Over 30% of the data available on the servers are corrupted
or outdated. This poses a big threat because it tends to complicate the process
of data mining.
§ Lack
of talent – This broad field needs new faces and brains to overcome the
drawbacks of lack of workforce.
§ Inaccessible
and classified data – These types of data comprise of about 11% of the server
capacity. These data cannot be accessed by general people, thus making it
inaccessible.
These are a few problems faced by data
scientists all over the world.
Resource
Box-
If you are a competitive programmer and excel
at mathematics than data science might be an answer to your quest. These top data science courses in Pune
will surely help you to bolster your position as a competitive data scientist
and usher you to a new world.