Data Science Easy Notes-
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 all the basic fundamentals of data science followed by this. The
next module is the supervised learning algorithms module where we 'll
start by understanding the most basic With them or which is linear
regression. We 'll discuss how Walmart 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 will also discuss the various skill sets.
After this we will discuss how data is extracted processed and finally use
as a solution. We'll discuss 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 data engineer. 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 will generate 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 's biggest retailer with over 20,000 stores in just 28 countries.
We pay bills online. We even buy homes online these days you can even
sell your pets on oil excuses. Walmart is currently building the world 's
biggest. Good Cloud, which will be able to process two point five
petabytes of data every hour now. The reason behind Walmart success is
how the user customer data to get useful insights about customers
shopping patterns. Walmart found out that strawberry Pop-Tart sales
increased by seven times before a hurricane. Walmart uses data in a very
effective manner the analyzer very well. They process the data very well
and they find out the useful insights that they need in order to get more
customers or improve their business. Netflix analyzes the movie viewing
patterns of users to understand what drives user interest and to see what
users want to watch.
There are actually many machine learning algorithms which are based on
linear algebra. So guys overall you need to have a good understanding of
math and apart from that data scientist. Eli 's technology. So data
scientists have to be really good with technology. It is also important for
a data scientist to be a tactical business consultant. Programming
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 all the basic fundamentals of data science followed by this. The
next module is the supervised learning algorithms module where we 'll
start by understanding the most basic With them or which is linear
regression. We 'll discuss how Walmart 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 will also discuss the various skill sets.
After this we will discuss how data is extracted processed and finally use
as a solution. We'll discuss 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 data engineer. 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 will generate 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 's biggest retailer with over 20,000 stores in just 28 countries.
We pay bills online. We even buy homes online these days you can even
sell your pets on oil excuses. Walmart is currently building the world 's
biggest. Good Cloud, which will be able to process two point five
petabytes of data every hour now. The reason behind Walmart success is
how the user customer data to get useful insights about customers
shopping patterns. Walmart found out that strawberry Pop-Tart sales
increased by seven times before a hurricane. Walmart uses data in a very
effective manner the analyzer very well. They process the data very well
and they find out the useful insights that they need in order to get more
customers or improve their business. Netflix analyzes the movie viewing
patterns of users to understand what drives user interest and to see what
users want to watch.
There are actually many machine learning algorithms which are based on
linear algebra. So guys overall you need to have a good understanding of
math and apart from that data scientist. Eli 's technology. So data
scientists have to be really good with technology. It is also important for
a data scientist to be a tactical business consultant. Programming
