Data Science Full Course - Learn Data Science in 10 Hours | Data Science For Beginners.
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.
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.
