Data Science Full Course - Data
Science For Beginners [2023]
Introduction to Data Science
Data science is a fascinating eld with a high demand for skilled
professionals. In this full course on data science, we will cover
everything about data science from end to end. Before we get started,
make sure to hit the like button and subscribe to our channel for regular
updates. We also offer training programs and certi cation courses, so
check out the links in the description if you're interested. Let's take a
look at the topics we'll be covering in this video:
• What is Data Science?
• Who is a Data Scientist?
• Roadmap to Becoming a Data Scientist
• Data Science Core Concepts (Total Life Cycle, Statistics and
Probability, Machine Learning, Core Algorithms, Deep Learning)
• Data Science for Non-Programmers
• Bonus Sections (Creating a Data Scientist Resume, Data Science
Interview Questions and Answers)
Now, let's dive into what data science is all about.
What is Data Science?
With the development of new technologies, there has been a rapid
increase in the amount of data. This has created an opportunity to
analyze and derive meaningful information from all this data. Technically,
data science is de ned as the process of extracting knowledge and
insights from complex and large sets of data by using processes like
data cleaning and data visualization.
For example, Google Maps collects data every day from a multitude of
reliable sources, primarily smartphones. It continuously combines the
data from drivers, passengers, and pedestrians and then uses machine
fi fi fi
, learning algorithms to send real traf c updates by way of colored lines
on the graphic layers. This helps you nd your optimal route and even
determine which areas should be avoided due to road work or
accidents.
As data science continues to evolve, the demand for skilled
professionals in this domain is also increasing drastically. In order to
uncover useful intelligence for their organizations, data scientists must
master all the aspects of data science.
How Data Science is Used
Data science is all about extracting useful insights from data and using it
to grow your business. Walmart, for example, is building the world's
biggest private cloud, which will be able to process 2.5 petabytes of data
every hour. The reason behind Walmart's success is how they use
customer data to get useful insights about customers' shopping patterns.
The data analysts and data scientists at Walmart know every detail
about their customers.
They use the data that they get from their customers and analyze it to
see what a particular customer is looking for. For instance, during
Halloween sales, an analyst at Walmart found out that a speci c cookie
was popular across all Walmart stores, but two stores were not selling
them at all. The situation was immediately investigated, and it was found
that there was a simple stocking oversight because of which the cookies
were not put on the shelves for sale. Another example is that through
association rule mining, Walmart found out that strawberry poptart sales
increased by seven times before a hurricane.
With the emergence of the internet and the increasing amount of data
generated, we need more complex algorithms and a better process to
process this data. This is where data science comes in. It helps us
extract useful insights from data and use them to grow our businesses.
How Walmart Uses Data Science to Improve Their
Business
Walmart is known for its successful business strategies, and one of the
main reasons for their success is the huge amount of data they collect
and analyze. They use social media data to nd out the trending
fi fi fi fi
Science For Beginners [2023]
Introduction to Data Science
Data science is a fascinating eld with a high demand for skilled
professionals. In this full course on data science, we will cover
everything about data science from end to end. Before we get started,
make sure to hit the like button and subscribe to our channel for regular
updates. We also offer training programs and certi cation courses, so
check out the links in the description if you're interested. Let's take a
look at the topics we'll be covering in this video:
• What is Data Science?
• Who is a Data Scientist?
• Roadmap to Becoming a Data Scientist
• Data Science Core Concepts (Total Life Cycle, Statistics and
Probability, Machine Learning, Core Algorithms, Deep Learning)
• Data Science for Non-Programmers
• Bonus Sections (Creating a Data Scientist Resume, Data Science
Interview Questions and Answers)
Now, let's dive into what data science is all about.
What is Data Science?
With the development of new technologies, there has been a rapid
increase in the amount of data. This has created an opportunity to
analyze and derive meaningful information from all this data. Technically,
data science is de ned as the process of extracting knowledge and
insights from complex and large sets of data by using processes like
data cleaning and data visualization.
For example, Google Maps collects data every day from a multitude of
reliable sources, primarily smartphones. It continuously combines the
data from drivers, passengers, and pedestrians and then uses machine
fi fi fi
, learning algorithms to send real traf c updates by way of colored lines
on the graphic layers. This helps you nd your optimal route and even
determine which areas should be avoided due to road work or
accidents.
As data science continues to evolve, the demand for skilled
professionals in this domain is also increasing drastically. In order to
uncover useful intelligence for their organizations, data scientists must
master all the aspects of data science.
How Data Science is Used
Data science is all about extracting useful insights from data and using it
to grow your business. Walmart, for example, is building the world's
biggest private cloud, which will be able to process 2.5 petabytes of data
every hour. The reason behind Walmart's success is how they use
customer data to get useful insights about customers' shopping patterns.
The data analysts and data scientists at Walmart know every detail
about their customers.
They use the data that they get from their customers and analyze it to
see what a particular customer is looking for. For instance, during
Halloween sales, an analyst at Walmart found out that a speci c cookie
was popular across all Walmart stores, but two stores were not selling
them at all. The situation was immediately investigated, and it was found
that there was a simple stocking oversight because of which the cookies
were not put on the shelves for sale. Another example is that through
association rule mining, Walmart found out that strawberry poptart sales
increased by seven times before a hurricane.
With the emergence of the internet and the increasing amount of data
generated, we need more complex algorithms and a better process to
process this data. This is where data science comes in. It helps us
extract useful insights from data and use them to grow our businesses.
How Walmart Uses Data Science to Improve Their
Business
Walmart is known for its successful business strategies, and one of the
main reasons for their success is the huge amount of data they collect
and analyze. They use social media data to nd out the trending
fi fi fi fi
