Cybersecurity vs. Data Science: A Roadmap - PowerPoint PPT Presentation

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Cybersecurity vs. Data Science: A Roadmap

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The word “cyber” means a world of computers or computer networks, and Cyber security is the practice of safeguarding electronic data systems against malicious or unauthorized activity. – PowerPoint PPT presentation

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Title: Cybersecurity vs. Data Science: A Roadmap


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Cybersecurity vs. Data Science A Roadmap
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Table of Contents What is Cybersecurity?Career
Scope in CybersecurityWhat is Data
Science?Career Scope in Data Science Cybersecurit
y vs. Data Science Organizations seek ways to
safeguard large amounts of data and use it
effectively as technology evolves, especially in
the workplace. Data science and cybersecurity
experts are in high demand due to the rising
collection of data in various sectors and the
rise in cybersecurity risks. Many people upgrade
their skills and focus on one of these two fields
to meet this demand. But how do you decide which
road to take? Before deciding on a career route,
you should understand the difference between
cyber security and data science.
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What is Cybersecurity? The word cyber means a
world of computers or computer networks, and
Cyber security is the practice of safeguarding
electronic data systems against malicious or
unauthorized activity. Cybercriminals are already
too clever and may simply exploit security flaws
to enter data systems. As a result, strong
information security measures must be implemented
to keep data safe from unauthorized
access. Cybersecurity experts have an active
mind and a strong willingness to learn and
develop innovative solutions. With the
advancement of technology, the industry demands
ongoing skill upgrades to keep up with new
technology transformations.
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  • Career Scope in Cybersecurity
  • Many enterprises recruit cybersecurity
    professionals or consultants to protect their
    data and systems from security attacks.
    Cybersecurity experts can assist firms in
    safeguarding confidential information that is
    damaged in a security breach. Every organization
    hires cybersecurity professionals, including
    banks, health, credit-card companies, e-commerce
    businesses, and technological organizations. Some
    of the jobs which cybersecurity professionals
    acquire
  • Cybersecurity Analyst
  • Incident Responder
  • Computer Forensics Analyst
  • Cybersecurity Engineer
  • Malware Analyst

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What is Data Science? Data science is concerned
with the extraction and analysis of data to make
insight into it, and its critical for firms to
identify data-driven solutions. Data science is a
set of instructions, tools, and machine learning
methods that work together to find new trends in
raw data. Planning, evaluating, explaining,
deploying, and monitoring a model are the five
phases involved in data science. A Data Scientist
must have the right tools to access the relevant
data, and accuracy is what matters most in
deploying any models first. Evaluating the model
allows the data scientist to improve it or
replace it with a better one.




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  • Career Scope in Data Science
  • The field of data science is growing in
    popularity and becoming more enticing to
    students, and working professionals as the demand
    for Data Scientists grows. Thanks to big datas
    position as a different perspective engine, Data
    Scientists are in high demand at the
    organizational level across all vertical
    industries. Whether its to increase customer
    retention, optimize product development, or mine
    data for new business prospects, companies are
    continually relying on Data Scientist skills to
    stay ahead of the competition. The following are
    some examples of data science jobs
  • Data Scientist
  • Statistician
  • Data Engineer
  • Product Manager
  • Lead Data Scientist





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  • Cybersecurity vs. Data Science
  • Cyber security entails putting in place
    safeguards to prevent hackers and other
    unauthorized individuals from accessing digital
    data systems.
  • On the other hand, data science takes a
    multidisciplinary approach because it does not
    focus solely on one position. Data Scientists
    integrate data collection, extraction, analysis,
    and manipulation to provide useful information.
  • While there may be a little similarity between
    these two professions, there are also significant
    differences. To help you grasp the difference,
    heres a comparison between cybersecurity and
    data science
  • 1.Objectives In business, the goal of
    cybersecurity is to secure a companys data and
    networks from unwanted access, such as
    cybercriminals. In contrast, data science aims to
    process vast amounts of data into understandable
    data sets to interpret the facts.
  • 2. Responsibilities Cybersecurity specialists
    monitor a companys networks and data, develop
    measures to safeguard such information and
    evaluate those methods to verify they work
    properly. On the other hand, Data Scientists
    create theories about data and construct
    algorithms to explore data more effectively. They
    develop statistical models to collect and analyze
    massive volumes of data, then assess the model to
    see where it can be improved.





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3. Education Many security experts have earned a
degree in information technology, computer
science, or information systems to begin their
professions. This is their first step, following
which they can pursue a masters or post-graduate
degree in cyber security. A bachelors degree in
computer science, data science, or a related
field, such as mathematics, is often required for
Data Scientists. After completing their
undergraduate degrees, many Data Scientists
choose to pursue a masters degree in data
science or a related field, such as data mining
or machine learning. Many data science positions
demand a masters degree as a minimum
prerequisite, and it can also assist these
individuals in developing their careers.




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4. Salary Both cybersecurity and data science
jobs have the potential to pay well, but data
scientists are often known to make more money
than cybersecurity professionals. A Data
Scientists average annual pay is 119,378 a
cybersecurity professionals average annual
salary is 94,360. However, the salary for both
occupations varies depending on the degree,
experience, company, and geographical region. 5.
Job Outlook Because businesses continue to adopt
new technology to better their operations and
remain competitive, the job outlook for
cybersecurity and data science specialists is
bright. According to the U.S. Bureau of Labor
Statistics (BLS), the job outlook for information
security experts, which includes cybersecurity,
might increase by 33 between 2020 and 2030. On
the other hand, data science is expected to grow
by 22 between 2020 and 2030.




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Final Thoughts If you want to pursue any of
these courses but arent sure what to do, think
about your interests, technical skills, the
amount of time and dedication youre prepared to
put in, and your long-term and short-term job
ambitions. Remember that both these professions
are in high demand, and no matter which path you
choose, you will succeed. Data science and
cybersecurity are both critical parts of the
twenty-first century. As a result, you must be
skilled in each of these fields. To study more
and gain a better understanding, go
to InfosecTrains Cybersecurity and Data
Science courses.




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About InfosecTrain
  • Established in 2016, we are one of the finest
    Security and Technology Training and Consulting
    company
  • Wide range of professional training programs,
    certifications consulting services in the IT
    and Cyber Security domain
  • High-quality technical services, certifications
    or customized training programs curated with
    professionals of over 15 years of combined
    experience in the domain

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Our Endorsements
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Why InfosecTrain
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Certified and Experienced Instructors
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Post training completion
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Our Trusted Clients
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