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Its mission is to strengthen the cybersecurity workforce and awareness of cybersecurity and cyberspace through accessible education. [3] With over 6,000 cyber security training courses, career pathway tools, and up-to-date coverage on cybersecurity events and news, NICCS aims to empower current and future generations of cybersecurity professionals.
IBM SkillsBuild offers 1,000 courses in 20 languages on artificial intelligence, cybersecurity, data analysis, cloud computing, sustainability, and many other technical disciplines — as well as in workplace skills such as Design Thinking. Participants can earn IBM-branded digital credentials that are recognized by the market.
The Statistics Online Computational Resource (SOCR) [1] is an online multi-institutional research and education organization. SOCR designs, validates and broadly shares a suite of online tools for statistical computing, and interactive materials for hands-on learning and teaching concepts in data science, statistical analysis and probability theory.
CSIAC provides centralized Cyber Security vulnerability data and support to ensure the continuity of critical Information Systems for the nation's defense. Reliance on Timely and Accurate Information Services: In the modern era, timely and accurate information is crucial for various aspects of society, including government operations, financial ...
In the computer security or Information security fields, there are a number of tracks a professional can take to demonstrate qualifications. [Notes 1] Four sources categorizing these, and many other credentials, licenses, and certifications, are:
Cybersecurity engineering is a tech discipline focused on the protection of systems, networks, and data from unauthorized access, cyberattacks, and other malicious activities. It applies engineering principles to the design, implementation, maintenance, and evaluation of secure systems, ensuring the integrity, confidentiality, and availability ...
Data mining is a particular data analysis technique that focuses on statistical modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. [4]
Data analysis focuses on the process of examining past data through business understanding, data understanding, data preparation, modeling and evaluation, and deployment. [8] It is a subset of data analytics, which takes multiple data analysis processes to focus on why an event happened and what may happen in the future based on the previous data.