Data Science is the most revolutionary technology
of the era. It 's all about deriving useful insights
from data in order to solve real-world complex
problems. The first module is an reduction to data
science that covers allthe basic fundamentals of
data science followed by this. The next module is
the supervised learning algorithms module where
we 'llstart by understanding the most basic With
them or which is linear regression. We 'Il discuss
howWalmart is using insightful patterns from their
database to increase the potential of their business.
After that. We will see what exactly data science is,
then we ll move on and discuss who are data
scientist is where we willalso discuss the various
skill sets. After this we will discuss how data is
extracted processed and finally use as a solution.
We'lldiscuss a use case of the k-means clustering
after which we can move on to see the various data
science job roles such as data analyst data architect
dataengineer. We produce 2. 5 quintillion bytes of
data each day. And this is only accelerating with the
growth of iot or Internet of Things. iot data is
measured in zettabytes and one zettabyte is equal
to trillion gigabytes. According to a recent survey by
Cisco. It 's estimated that by the end of 2019 the iot
willgenerate more than five hundred zettbles of
data per year. This number will only increase
through time.
Social media is generating a lot of data for us. Data
science is a simple process that will just extract the
useful information from data. Walmart is the world
of the era. It 's all about deriving useful insights
from data in order to solve real-world complex
problems. The first module is an reduction to data
science that covers allthe basic fundamentals of
data science followed by this. The next module is
the supervised learning algorithms module where
we 'llstart by understanding the most basic With
them or which is linear regression. We 'Il discuss
howWalmart is using insightful patterns from their
database to increase the potential of their business.
After that. We will see what exactly data science is,
then we ll move on and discuss who are data
scientist is where we willalso discuss the various
skill sets. After this we will discuss how data is
extracted processed and finally use as a solution.
We'lldiscuss a use case of the k-means clustering
after which we can move on to see the various data
science job roles such as data analyst data architect
dataengineer. We produce 2. 5 quintillion bytes of
data each day. And this is only accelerating with the
growth of iot or Internet of Things. iot data is
measured in zettabytes and one zettabyte is equal
to trillion gigabytes. According to a recent survey by
Cisco. It 's estimated that by the end of 2019 the iot
willgenerate more than five hundred zettbles of
data per year. This number will only increase
through time.
Social media is generating a lot of data for us. Data
science is a simple process that will just extract the
useful information from data. Walmart is the world
