Undoubtedly, Data Science is one of the most revolutionary technologies of our era.
It involves deriving useful insights from data to solve complex real-world
problems. This session is a full course on Data Science that covers everything you
need to know to master the field.
Before we get started, let's take a look at the agenda. The first module is an
introduction to Data Science, which covers all the basic fundamentals. Next, we
have the Statistics and Probability module, where you'll understand the math behind
Data Science and Machine Learning algorithms. Then, we have the Basics of Machine
Learning module, where you'll learn about different types of Machine Learning
algorithms.
After that, we move on to the Supervised Learning Algorithms module, which covers
Linear Regression, Logistic Regression, Decision Trees, Random Forest, K-Nearest
Neighbor, and Naive Bias. Each of these modules explores how these algorithms can
be used to solve complex problems with the help of real-world examples.
Introduction to Data Science
Data science is currently one of the most in-demand technologies due to the
increasing amount of data being generated and the need to process and make sense of
it. In this session, we will discuss data science in depth, including its various
sources, the data life cycle, machine learning, and more.
Agenda
Sources of data
How Walmart uses data science
What is data science?
Who are data scientists?
Data science job roles
Data life cycle
Basics of machine learning
K-means algorithm and use case
Sources of Data
The evolution of technology and the introduction of IoT and social media have led
to an explosion of data being generated. Sources of data include:
Weblogs and web traffic
Sensor data
Mobile devices
Social media
Cloud applications
How Walmart Uses Data Science
Walmart uses data science to gain insights from their database, such as identifying
patterns in customer behavior to increase sales potential.
What is Data Science?
Data science involves using statistical and computational methods to extract
insights and knowledge from data. It includes data analysis, machine learning, and
artificial intelligence.
Who are Data Scientists?
Data scientists have a strong background in mathematics and statistics, as well as
programming skills. They have expertise in data mining, data analysis, and machine
learning.
Data Science Job Roles
Job roles in data science include:
Data analyst
It involves deriving useful insights from data to solve complex real-world
problems. This session is a full course on Data Science that covers everything you
need to know to master the field.
Before we get started, let's take a look at the agenda. The first module is an
introduction to Data Science, which covers all the basic fundamentals. Next, we
have the Statistics and Probability module, where you'll understand the math behind
Data Science and Machine Learning algorithms. Then, we have the Basics of Machine
Learning module, where you'll learn about different types of Machine Learning
algorithms.
After that, we move on to the Supervised Learning Algorithms module, which covers
Linear Regression, Logistic Regression, Decision Trees, Random Forest, K-Nearest
Neighbor, and Naive Bias. Each of these modules explores how these algorithms can
be used to solve complex problems with the help of real-world examples.
Introduction to Data Science
Data science is currently one of the most in-demand technologies due to the
increasing amount of data being generated and the need to process and make sense of
it. In this session, we will discuss data science in depth, including its various
sources, the data life cycle, machine learning, and more.
Agenda
Sources of data
How Walmart uses data science
What is data science?
Who are data scientists?
Data science job roles
Data life cycle
Basics of machine learning
K-means algorithm and use case
Sources of Data
The evolution of technology and the introduction of IoT and social media have led
to an explosion of data being generated. Sources of data include:
Weblogs and web traffic
Sensor data
Mobile devices
Social media
Cloud applications
How Walmart Uses Data Science
Walmart uses data science to gain insights from their database, such as identifying
patterns in customer behavior to increase sales potential.
What is Data Science?
Data science involves using statistical and computational methods to extract
insights and knowledge from data. It includes data analysis, machine learning, and
artificial intelligence.
Who are Data Scientists?
Data scientists have a strong background in mathematics and statistics, as well as
programming skills. They have expertise in data mining, data analysis, and machine
learning.
Data Science Job Roles
Job roles in data science include:
Data analyst
