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
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
