Data science Cyber Security Jobs

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No organization could run without a team of cybersecurity and data science experts. Cybersecurity is to protect the data, or any other kind of organizational assets from cyber threats, whereas, Data Science is to analyze, organize, and monitor the behavior of data and data patterns to derive valuable insights and make effective data-driven decisions. Integrating Data Science into Cybersecurity is a unique method to identify, prevent, and mitigate cyber threats. This comprehensive blog is to explore the various jobs in Cybersecurity Data Science.

Cybersecurity Data Science Jobs

The following is the list of Cybersecurity Data Science Job roles:

  1. Data Scientists
  2. Data Analyst
  3. Business Analyst
  4. Data Engineer

Data Scientists

Data Scientists use the collected data for analysis to deliver effective organizational decisions. Data Scientists should possess mathematical and statistical skills and work experience in machine learning, data mining, coding, and algorithms. The critical role of Data Scientists is to explain the insights driven by data analysis in a simple way for other departments. They should possess excellent programming skills in Python, SQL, Hadoop, Spark, R, Hive, and SAS.

A Data Scientist can earn up to $102,092 per annum.

Data Analyst

A Data Analyst is a person responsible for collecting, processing, and executing statistical data analysis to transform the data sets into usable formats such as reports, records, or presentations. Data Analyst is a starting point in a Data Science career. They perform various analysis techniques to clean and study the data and represent the insights using data visualization tools such as Tableau.

A Data Analyst can earn up to $69,649 per annum.

Business Analyst

The Business Analyst plays a bridge between IT and business, using data analytics to analyze, process, and derive data-driven insights and reports to business stakeholders. They are responsible for increasing business efficiency and strengthening business processes. Business Analysts should possess advanced analytics skills in BI tools such as Power BI and excellent programming skills.

The average salary for Business Analysts is around $ 82,143 per annum.

Data Engineer

Data Engineer is responsible for building systems for collecting, analyzing, and preparing high-quality data for business use. They collect and process the data, and the data scientist uses the processed data to derive effective business decisions. Data Engineers should possess excellent coding skills such as SQL, Python, etc., for building data infrastructure.

A Data Engineer can earn up to $116,079 per annum.

Why Cybersecurity Data Science training with InfosecTrain

InfosecTrain is a leading provider of Cybersecurity and IT security training and consulting organizations across the globe, specializing in various advanced IT security courses and services. It offers a Cybersecurity Data Science training course that aims to provide Data Science skills in terms of Cyber Security to prevent security threats. By the end of the Cybersecurity Data Science course, you will be able to:

  • Understand and implement python for creating functions, data structure, and data wrangling using Numpy and Pandas.
  • Understand various Machine Learning techniques to identify botnets.
  • Implement Data Science techniques to identify data patterns and detect threats.
  • Implement Advanced Malware threat detection and intrusion detection techniques to identify DDoS and malware.
  • Implement Machine Learning skills to secure and protect data from threats.

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