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    • Computer Forensics

    Computer Forensics Courses Online

    Learn computer forensics techniques for investigating digital crimes. Understand how to collect, analyze, and preserve digital evidence.

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    Explore the Computer Forensics Course Catalog

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Mathematics for Machine Learning and Data Science

      Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Probability, Linear Algebra, Statistical Inference, Applied Mathematics, NumPy, Calculus, Dimensionality Reduction, Numerical Analysis, Mathematical Modeling, Machine Learning, Machine Learning Methods, Python Programming, Jupyter, Data Manipulation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.7K reviews

      Intermediate · Specialization · 1 - 3 Months

    • U

      University of Colorado Boulder

      Deep Learning Applications for Computer Vision

      Skills you'll gain: Tensorflow, Computer Vision, Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Applied Machine Learning, Deep Learning, Machine Learning Algorithms, Machine Learning, Artificial Intelligence, Computer Programming Tools, Algorithms

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      87 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Santa Cruz

      C and Go: Classical and Modern Programming

      Skills you'll gain: Go (Programming Language), Debugging, C (Programming Language), Data Structures, C++ (Programming Language), Object Oriented Design, Object Oriented Programming (OOP), Code Review, Programming Principles, Computer Programming, Unit Testing, Algorithms, Command-Line Interface, Program Development, Integrated Development Environments, Software Testing, Computer Science, Computational Thinking, File Management, Integration Testing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      7.1K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      M

      Meta

      Meta Database Engineer

      Skills you'll gain: MySQL, Database Design, Version Control, Database Management Systems, Database Management, MySQL Workbench, Extract, Transform, Load, Data Modeling, Data Structures, SQL, Unix Commands, Relational Databases, Databases, Git (Version Control System), Database Systems, Stored Procedure, Object Oriented Programming (OOP), Unit Testing, Algorithms, Django (Web Framework)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7.1K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      SQL for Data Science

      Skills you'll gain: Data Governance, SQL, Data Quality, Database Design, Query Languages, Data Manipulation, Data Modeling, Relational Databases, Data Analysis, Data Cleansing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      17K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      P

      Princeton University

      Computer Science: Algorithms, Theory, and Machines

      Skills you'll gain: Theoretical Computer Science, Data Structures, Computer Science, Computer Architecture, Algorithms, Programming Principles, Computational Logic, Computational Thinking, Java Programming, Computer Hardware

      4.7
      Rating, 4.7 out of 5 stars
      ·
      700 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Meta

      Introduction to Front-End Development

      Skills you'll gain: HTML and CSS, Bootstrap (Front-End Framework), Responsive Web Design, Front-End Web Development, User Interface (UI), JavaScript Frameworks, Web Design and Development, Web Applications, React.js, Javascript

      4.8
      Rating, 4.8 out of 5 stars
      ·
      13K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      C

      California Institute of the Arts

      Fundamentals of Graphic Design

      Skills you'll gain: Typography, Design Elements And Principles, Graphic Design, Visual Design, Design Software, Logo Design, Digital Design, Color Theory, Photo Editing, Adobe Creative Cloud, Creativity

      4.8
      Rating, 4.8 out of 5 stars
      ·
      18K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Penetration Testing, Threat Hunting, and Cryptography

      Skills you'll gain: Cyber Threat Hunting, Cyber Threat Intelligence, Threat Modeling, Penetration Testing, Threat Detection, Threat Management, MITRE ATT&CK Framework, Cryptography, Security Testing, Application Security, Encryption, Code Review, Vulnerability Scanning, Open Web Application Security Project (OWASP), Cyber Operations, Vulnerability Assessments, Security Information and Event Management (SIEM), Test Planning, Network Analysis, Data Integrity

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.5K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Using Databases with Python

      Skills you'll gain: Relational Databases, Database Design, SQL, Web Scraping, Data Modeling, Database Systems, Database Management, Data Visualization Software, Object Oriented Programming (OOP), Data Processing, Python Programming, Application Programming Interface (API)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      21K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Introduction to Computer Vision

      Skills you'll gain: Image Analysis, Computer Vision, Computer Graphics, Deep Learning, Data Ethics, Computational Thinking, Artificial Intelligence, Data Processing, Linear Algebra, Probability Distribution

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      9 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Python Basics

      Skills you'll gain: Debugging, Programming Principles, Python Programming, Data Structures, Scripting Languages, Computer Programming, Pseudocode, Computer Graphics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      18K reviews

      Beginner · Course · 1 - 4 Weeks

    Computer Forensics learners also search

    Digital Forensics
    Computer Security
    Information Security
    Information Science
    Privacy
    Information Engineering
    Data Security
    Software Security
    1…141516…454

    In summary, here are 10 of our most popular computer forensics courses

    • Mathematics for Machine Learning and Data Science: DeepLearning.AI
    • Deep Learning Applications for Computer Vision: University of Colorado Boulder
    • C and Go: Classical and Modern Programming: University of California, Santa Cruz
    • Meta Database Engineer: Meta
    • SQL for Data Science: University of California, Davis
    • Computer Science: Algorithms, Theory, and Machines: Princeton University
    • Introduction to Front-End Development: Meta
    • Fundamentals of Graphic Design: California Institute of the Arts
    • Penetration Testing, Threat Hunting, and Cryptography: IBM
    • Using Databases with Python: University of Michigan

    Frequently Asked Questions about Computer Forensics

    Computer forensics is a branch of digital forensics that focuses on investigating and analyzing digital devices, networks, and data to gather evidence for legal or investigative purposes. It involves the application of scientific techniques to extract, preserve, and analyze digital evidence from computers, storage devices, and digital networks. Computer forensics plays a vital role in cybersecurity, law enforcement, incident response, and legal proceedings.‎

    To excel in computer forensics, you need to develop the following skills:

    • Digital Forensics Tools: Proficiency in using specialized forensic tools and software for data acquisition, preservation, analysis, and reporting.
    • Operating Systems: Knowledge of various operating systems such as Windows, macOS, Linux, and their file systems to navigate and extract data.
    • File System Analysis: Understanding of file systems, including NTFS, FAT, HFS+, and Ext, to recover deleted files, analyze file metadata, and understand file structures.
    • Data Recovery: Skills in recovering data from damaged or deleted partitions, encrypted drives, and file fragments.
    • Network Forensics: Familiarity with network protocols, traffic analysis, log examination, and intrusion detection techniques to investigate network-related incidents.
    • Malware Analysis: Ability to analyze and dissect malware samples, including reverse engineering techniques, to understand their behavior and extract artifacts.
    • Incident Response: Understanding of incident response procedures and best practices to handle cybersecurity incidents and conduct forensic investigations.
    • Data Analysis and Interpretation: Proficiency in data analysis techniques, including data carving, keyword searching, and data correlation, to identify relevant evidence.
    • Legal Knowledge: Familiarity with legal frameworks, regulations, and protocols pertaining to digital evidence handling and chain of custody.
    • Reporting and Documentation: Effective communication and reporting skills to document findings, prepare expert reports, and present evidence in a clear and concise manner.‎

    With computer forensics skills, you can pursue various job opportunities, including:

    • Digital Forensics Analyst
    • Cybersecurity Analyst
    • Incident Responder
    • Forensic Consultant
    • Law Enforcement Officer
    • IT Security Specialist
    • Forensic Auditor
    • Legal Consultant
    • E-Discovery Specialist
    • Expert Witness

    These roles involve investigating and analyzing digital evidence, conducting forensic examinations, and providing expert testimony in legal proceedings or cybersecurity incidents.‎

    Computer forensics is well-suited for individuals who possess the following qualities:

    • Analytical Thinking: Ability to analyze complex data, identify patterns, and draw meaningful conclusions from digital evidence.
    • Attention to Detail: Meticulousness in handling and preserving digital evidence to ensure its integrity and admissibility.
    • Technical Aptitude: Proficiency in working with computers, networks, operating systems, and digital devices.
    • Curiosity and Continuous Learning: Eagerness to stay updated with the latest advancements in digital forensics, cybersecurity, and emerging technologies.
    • Ethical Mindset: Commitment to upholding ethical standards, maintaining confidentiality, and following legal and industry guidelines.
    • Problem-Solving Orientation: Aptitude for solving intricate puzzles, investigating cyber incidents, and reconstructing digital events.
    • Communication Skills: Ability to communicate complex technical concepts effectively, both orally and in writing, to stakeholders with varying technical expertise.
    • Teamwork and Collaboration: Capacity to work in multidisciplinary teams, collaborate with law enforcement, legal professionals, and incident responders.
    • Adaptability: Willingness to adapt to evolving technologies, new forensic tools, and changing investigative methods.‎

    Several topics are related to computer forensics that you can study to enhance your skills and knowledge, including:

    • Digital Forensics Fundamentals
    • File System Analysis and Recovery
    • Network Forensics and Intrusion Detection
    • Malware Analysis and Reverse Engineering
    • Memory Forensics
    • Mobile Device Forensics
    • Cloud Forensics
    • Incident Response and Incident Handling
    • Legal and Ethical Aspects of Digital Forensics
    • Advanced Topics in Computer Forensics, such as steganography or forensic data visualization

    Exploring these topics through online courses, certifications, practical exercises, and hands-on experience will provide you with a comprehensive understanding of computer forensics principles, techniques, and methodologies, enabling you to contribute to the investigation and analysis of digital evidence effectively.‎

    Online Computer Forensics courses offer a convenient and flexible way to enhance your knowledge or learn new Computer Forensics skills. Choose from a wide range of Computer Forensics courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Computer Forensics, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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