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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

    • H

      Hebrew University of Jerusalem

      Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course)

      Skills you'll gain: Computer Architecture, Computer Hardware, Computational Logic, Computer Programming, System Design and Implementation, Technical Design, Software Design, Program Development, Debugging, Verification And Validation, Development Environment

      4.9
      Rating, 4.9 out of 5 stars
      ·
      3.7K reviews

      Mixed · Course · 1 - 3 Months

    • W

      West Virginia University

      Forensic Accounting and Fraud Examination

      Skills you'll gain: Auditing, Loss Prevention, Internal Controls, Financial Controls, Threat Detection, Anomaly Detection, Financial Auditing, Cybersecurity, Financial Data, Cyber Operations, Investigation, Criminal Investigation and Forensics, Analytics, Specialized Accounting, Cyber Attacks, Security Awareness, Big Data, Accounting, Business Ethics, Compliance Reporting

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.1K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM DevOps and Software Engineering

      Skills you'll gain: CI/CD, Istio, Open Web Application Security Project (OWASP), Continuous Integration, Software Development Life Cycle, Software Architecture, Linux Commands, Agile Software Development, Unit Testing, Cloud Computing Architecture, Application Deployment, Test Driven Development (TDD), Gherkin (Scripting Language), Jenkins, Kubernetes, Bash (Scripting Language), DevOps, Git (Version Control System), Jupyter, Grafana

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      60K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Tools of the Trade: Linux and SQL

      Skills you'll gain: Bash (Scripting Language), Operating Systems, File Systems, Linux Commands, Linux, SQL, Unix, Database Management, Command-Line Interface, Relational Databases, Authorization (Computing), Authentications, User Accounts

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.4K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Back-end JavaScript Developer

      Skills you'll gain: Istio, HTML and CSS, Node.JS, Containerization, Software Development Life Cycle, Software Architecture, Server Side, MongoDB, Application Deployment, Cloud-Native Computing, NoSQL, Kubernetes, Restful API, OpenShift, Git (Version Control System), Cloud Applications, GitHub, Serverless Computing, Ajax, Interviewing Skills

      4.6
      Rating, 4.6 out of 5 stars
      ·
      6.9K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • G

      Georgia Institute of Technology

      Introduction to User Experience Design

      Skills you'll gain: User Experience Design, Prototyping, User Centered Design, Usability, Requirements Analysis, UI/UX Research, Interaction Design, User Interface (UI) Design, Usability Testing, User Research

      4.6
      Rating, 4.6 out of 5 stars
      ·
      8.9K reviews

      Beginner · Course · 1 - 3 Months

    • P

      Peking University

      计算机组成 Computer Organization

      Skills you'll gain: Computer Architecture, Hardware Architecture, Computer Hardware, Data Storage, Data Storage Technologies, Systems Architecture, Computational Logic, Peripheral Devices

      4.8
      Rating, 4.8 out of 5 stars
      ·
      482 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Deep Learning

      Skills you'll gain: Computer Vision, Deep Learning, Image Analysis, Natural Language Processing, Artificial Neural Networks, Tensorflow, Supervised Learning, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Applied Machine Learning, PyTorch (Machine Learning Library), Machine Learning, Debugging, Performance Tuning, Keras (Neural Network Library), Python Programming, Machine Learning Algorithms, Analysis, Data Processing

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      146K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Fundamentals of Computing

      Skills you'll gain: Computational Thinking, Event-Driven Programming, Algorithms, Combinatorics, Graph Theory, Programming Principles, Application Development, Object Oriented Programming (OOP), Data Structures, Probability, Computer Programming, Bioinformatics, Interactive Design, Program Development, Big Data, Python Programming, Mathematical Software, Data Analysis, Theoretical Computer Science, Computer Science

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4.1K reviews

      Beginner · Specialization · 3 - 6 Months

    • I

      Illinois Tech

      Introduction to Contemporary Operating Systems and Hardware 1a

      Skills you'll gain: Computer Hardware, Hardware Architecture, Networking Hardware, Data Storage Technologies, System Configuration, Microarchitecture, Computer Architecture, Peripheral Devices

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      83 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      M

      Meta

      Meta Full-Stack Developer

      Skills you'll gain: Jest (JavaScript Testing Framework), Django (Web Framework), Version Control, Restful API, Responsive Web Design, Unix Commands, HTML and CSS, Git (Version Control System), GitHub, Relational Databases, Object Oriented Programming (OOP), Database Management Systems, Bootstrap (Front-End Framework), React.js, Mobile Development, SQL, Database Design, Unit Testing, Web Development Tools, Web Development

      4.7
      Rating, 4.7 out of 5 stars
      ·
      23K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      M

      MathWorks

      Computer Vision for Engineering and Science

      Skills you'll gain: Computer Vision, Image Analysis, Deep Learning, Matlab, Applied Machine Learning, Machine Learning, Motion Graphics, Data Mapping, Artificial Intelligence and Machine Learning (AI/ML), Visualization (Computer Graphics), Geospatial Information and Technology, Feature Engineering, Medical Imaging, Machine Learning Algorithms, Data Validation, Geometric Dimensioning And Tolerancing, Performance Testing, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      86 reviews

      Intermediate · Specialization · 1 - 3 Months

    Computer Forensics learners also search

    Digital Forensics
    Computer Security
    Information Security
    Information Science
    Privacy
    Information Engineering
    Data Security
    Software Security
    1…567…453

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

    • Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course): Hebrew University of Jerusalem
    • Forensic Accounting and Fraud Examination: West Virginia University
    • IBM DevOps and Software Engineering: IBM
    • Tools of the Trade: Linux and SQL: Google
    • IBM Back-end JavaScript Developer: IBM
    • Introduction to User Experience Design : Georgia Institute of Technology
    • 计算机组成 Computer Organization: Peking University
    • Deep Learning: DeepLearning.AI
    • Fundamentals of Computing: Rice University
    • Introduction to Contemporary Operating Systems and Hardware 1a: Illinois Tech

    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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