The International Council of E-Commerce Consultants (EC-Council) is the largest certifying body for information security experts globally. The EC-Council is a membership-based organization that certifies people in various information security and e-business skills. https://www.infosectrain.com/courses/computer-hacking-forensics-investigator-chfi-training-certification/

1. Top 5 EC-Council Certifications
That You Should Look Into in 2022
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The International Council of E-Commerce Consultants (EC-Council) is the largest
certifying body for information security experts globally. The EC-Council is a
membership-based organization that certifies people in various information security
and e-business skills. The American National Standards Institute has certified it to
satisfy the ANSI 17024 standard.

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EC-Council is the owner and originator of the world-renowned Certified Ethical Hacker
(CEH), Computer Hacking Forensics Investigator (CHFI), and EC-Council Certified
Security Analyst (ECSA)/License Penetration Tester (LPT) programs, among many
others, which are available in 107 countries.
Individuals from some of the world's most prestigious companies, including the US
Army, FBI, Microsoft, IBM, and the United Nations, have earned EC-Council certificates.
Fox Business News, The Herald Tribune, CNN, The Wall Street Journal, The Gazette, The
Economic Times, and online sites such as ABC News, The Christian Science Monitor, USA
Today, Boston, and Gulf News have all highlighted EC-Council.
Here are a few top certifications provided by the EC-Council.
CEH (Certified Ethical Hacker)
The CEH is a very popular pen-testing certification with a high level of attainability and
recognition. The CEH is a good first penetration testing certification since almost all
other penetration testing certificates are either less known or more difficult to obtain.
The length of the CEH test lasts for four hours, and it consists of 125 multiple-choice
questions. This knowledge-based test will assess your understanding of information
security threats and attack vectors, as well as prevention, attack detection, procedures,
and methodologies.

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CHFI (Certified Hacking Forensic Investigator)
The Certified Hacking Forensic Investigator (CHFI) curriculum from EC-Council is the only
complete ANSI-accredited, lab-focused program in the market that delivers businesses
with vendor-neutral digital forensics training. CHFI gives learners a solid understanding
of digital forensics by providing a rigorous and scientific approach to digital forensics
as well as evidence analysis that includes IoT, Dark Web, and Cloud Forensics. This
program's tools and procedures will prepare the learner to utilize cutting-edge digital
forensics technologies to conduct digital investigations.
The course is desired by IT professionals who work in the fields of information security,
computer forensics, and incident response. It will assist forensic analysts, cyber defense
incident responders, cybercrime investigators, forensic analysts, malware analyzers,
information technology auditors, security consultants, and others in strengthening their
application expertise in digital forensics.
C|CISO (Certified Chief Information Security Officer)
The CCISO Certification is a market-leading program that recognizes the real-world
experience required to achieve at the highest levels of information security
management.
The EC-Council CCISO certification is primarily aimed at individuals who desire to
advance their careers in the field of cyber security. The EC-Council Certified Chief
Information Security Officer (CCISO) exam validates that the applicant has the
necessary fundamental knowledge and skills in the EC-Council CISO field.

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R Vs Python
Performance and speed: Both languages are employed in big data analytics. On
the other hand, Python is a superior alternative for developing critical but quick
applications in terms of performance. Many people believe that R can be a little
slower than Python, but it's still fast enough for massive data sets.
Data modeling: NumPy for numerical modeling analysis, SciPy for scientific
computing and calculations, and sci-kit-learn for machine learning techniques are all
standard Python libraries for data modeling. You may need to use packages outside
of R's core functionality for specific modeling analysis in R. However, the Tidyverse, a
collection of packages, makes it simple to import, manipulate, analyze, and report on
data.
Unstructured Data: Unstructured data makes up 80% of the world's data. The
majority of the data created by social media is unstructured. Python has packages
such as NLTK, scikit-image, and PyPI to analyze unstructured data. R has modules for
analyzing unstructured data, although the support isn't quite as good as Python's.
Both languages, however, can be used to analyze unstructured data.

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Exploring data: Pandas, the Python data analysis library, can be used to examine
data in Python. In a couple of seconds, you can filter, sort, and display data. On the
other hand, R is designed for the statistical analysis of massive datasets and provides
various data exploration tools. You can use R to create probability distributions,
perform statistical tests, and do conventional machine learning and data mining tasks.
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