Introduction to Data Science

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1stepGrow academy
Introduction to Data Science
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Agenda
What is Data Science?
Skills required for Data Scientist
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Importance of Data Science
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A career in Data Science
What Type of Data do Data Scientists Use?
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Conclusion
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What is Data Science?
Data science is a field that uses programming and
mathematics to derive meaningful insights from
data. Data scientists will apply machine learning
algorithms to data, such as text, images, videos,
and other data, to create artificial systems that
can perform tasks that require human
intelligence. These systems allow us to extract
valuable insights from data and make better
decisions in different situations.
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Importance of Data Science
Recent developments have seen a rapid increase in
the importance of Data Science. Transforming data
is the key reason. The data was previously in a
structured format that was smaller in size. This
allowed for easy manipulation with BI tools.
Today's data is often either semi-structured or
unstructured, meaning that it is primarily in the
form of images, audio, and videos. These data
require advanced analytical tools that can handle
large volumes of this diverse data.
This is only one of the many reasons for the
popularity of Data Science today.
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What Type of Data do Data Scientists Use?
Data Scientists use both structured and
unstructured data
Structured data can be found in Excel
Spreadsheets or CSV files. It is data that can be
organized in columns and rows. example- Client
data and spreadsheets with transaction
information.
Unstructured data, on the other side, is all
else. This includes audio and video files as well
as images and other multimedia files. More than
80 of enterprise data is unstructured.
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Skills required for Data Scientist
Data scientists must have a solid understanding
of

• Statistics Mathematics
• Computer Science skills
• Business understanding
• Analytical abilities
• Communication skills.

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A career in Data Science
Data science is a rapidly expanding field. The
market is expected to grow by almost 28 by 2026.
There are many high-paying opportunities for data
science professionals and this market will
continue to grow. It is important to concentrate
on getting the right qualifications, whether you
are pursuing data science training or an advanced
data analytics course at a recognized institute.
Job Roles
Data Scientist
Data Analyst
Data Engineer
Data Architect
Machine Learning Engineer
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Conclusion
Data Science is very essential for companies in
the coming decade. By incorporating data science
techniques into a business most organizations
companies can forecast future growth and analyze
for upcoming threats.
Now, its the right time to start a career in
data science.
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Thank You
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