Data science
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 languages is a must at the
minimum. You should know our or python and a database query language now. Data extraction
and processing is all about getting data. From these different data sources and then putting it in
a format so that you can analyze it now next is data wrangling and exploration. There are many
job roles under data science. Data scientists have to understand business and offer the best
solution using data analysis and data processing. Data visualization is one of the most important
part of data analysis. The challenge is over business and they have to offer best solution. Data
is being generated at an Unstoppable Pace.
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 languages is a must at the
minimum. You should know our or python and a database query language now. Data extraction
and processing is all about getting data. From these different data sources and then putting it in
a format so that you can analyze it now next is data wrangling and exploration. There are many
job roles under data science. Data scientists have to understand business and offer the best
solution using data analysis and data processing. Data visualization is one of the most important
part of data analysis. The challenge is over business and they have to offer best solution. Data
is being generated at an Unstoppable Pace.
