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

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• 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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