Cybersecurity Vs. Data Science
In today’s fast-growing IT world, organizations use and produce enormous amounts of data for business operations. Cybersecurity plays a crucial role in securing the organization’s data and assets, whereas Data Science plays a significant role in analyzing any kind of data to derive business insights. However, organizations require Cybersecurity and Data Science professionals that paved the way for numerous job openings. Here comes the question of what to choose as a career.
This blog is curated to explore the difference between Cybersecurity and Data Science, along with skills, career paths, and some certifications required to become professionals.
What is Cybersecurity?
Cybersecurity is a process of implementing various techniques to secure digital components such as networks, servers, data, and systems from unauthorized access. It helps protect the data, networks, and servers from exploitation and mitigate cyberattacks that originate inside or outside the organization.
Skills required to become a Cybersecurity Professional
The following are the skills necessary to become a Cybersecurity professional:
- Communication Skills: Cybersecurity professionals must possess strong verbal and written communication skills to communicate the cybersecurity issue and how to tackle the problem clearly and precisely with other teams.
- Networking and System Administration: A strong understanding of computer networking is required to work on TCP/IP and the OSI model. System administration skill is needed to maintain and configure the computer systems.
- Programming language skills: Cybersecurity professionals should possess strong coding skills in C, C++, Python, PHP, Java, etc.
- Logical reasoning and Troubleshooting skills: Cybersecurity professionals should be able to apply logical strategies to identify the cybersecurity issue and troubleshoot the problem by implementing technical solutions.
- Open-minded to learn: A cybersecurity professional must have an open mind to grasp unfamiliar concepts quickly.
- Operating Systems: Cybersecurity professionals should possess a strong understanding of operating systems such as Windows, macOS, and Linux.
Career Path for Cybersecurity
Organizations are actively recruiting certified and skilled cybersecurity professionals to protect their systems and data from cyberattacks because there is a huge demand for cybersecurity professionals. A cybersecurity team is a must regardless of the domains, such as IT, Banking, Health, Businesses, E-commerce, etc. Here is a list of a few cybersecurity professions:
- Cybersecurity Analysts
- Cybersecurity Engineer
- Malware Analysts
- System Analysts
- Incident Responder
- Threat Hunter
- Computer Forensic Analyst
Cyber Security Certifications for Beginners
The following is a list of cybersecurity certifications for beginners to kick-start their career in the cybersecurity field:
- Certified Ethical Hacker (CEH)
- CompTIA A+
- CompTIA Security+
- CompTIA Network+
- ISACA’s Cybersecurity Fundamentals Certificate (CSX)
- Cisco Certified Network Associate (CCNA)
What is Data Science?
Data Science is a process of analyzing a massive amount of data collected from various sources to extract valuable insights for business. These insights help companies to develop and implement strategies to enhance business efficiency.
Skills needed to become a Data Science Professional
The following are the skills required to become a Data Science Professional:
- Programming skills in languages such as C, C++, Python, Java, Perl, and SQL.
- Able to work on the data that is collected from various sources.
- Able to analyze data and represent the data using data visualization tools such as Tableau, Google Charts, Power BI, etc.
- Understanding analytical tools such as SAS, Spark, Hive, R, and Hadoop for data extraction provides valuable insights.
- Strong communication skills are required to communicate the insights driven by data analysis.
Career Path for Data Science
Data Science is the most popular and growing technology for organizations with vast amounts of data for analysis. In Data Science, different career paths can allow a Data Science aspirant to choose their path. The following are various job roles in Data Science:
- Data Analyst
- Data Architect
- Data Engineer
- Data Scientist
- Data Manager
- Business Analyst
Data Science Certifications for Beginners
The following is the list of Data Science certifications for beginners to start their careers:
- Microsoft Certified: Azure Data Scientist Associate
- IBM Data Science Professional Certificate
- SAS Certified Data Curation Professional
- SAS Advanced Analytics Professional Certification
- Google Professional Data Engineer Certification
Cybersecurity Vs. Data Science
| Cybersecurity | Data Science |
| Cybersecurity is to protect the organization’s data and systems from unauthorized access. | Data Science is to analyze the massive amount of data collected from various sources into valuable insights. |
| Cybersecurity professionals monitor the organization’s data and networks and implement security measures to mitigate cyberattacks. | Data Science professionals are responsible for collecting, analyzing, organizing, and providing valuable insights to the organization that helps to make data-driven decisions. |
| Cybersecurity professionals should possess a Bachelor’s degree in Computer Science, Information Technology, or other relevant degrees. | Data Science professionals should possess a Bachelor’s degree or Master’s degree in relevant disciplines such as computer science, Information Technology, Mathematics or Statistics. |
| Cybersecurity job roles include Cybersecurity Analyst, Cybersecurity Manager, Security Analyst, Network Security Analyst, etc. | Various Data Science job roles are Data Scientist, Data Analyst, Data Engineer, Data Architect, etc. |
| A beginner-level Cybersecurity professional can earn up to $94,360 per annum. | A beginner-level Data Science professional can earn up to $110,000 per annum. |
Cybersecurity Data Science training with InfosecTrain
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