数字取证课程
数字取证课程可以帮助您学习数据恢复、证据分析和事件响应技术。您可以掌握分析数字足迹、对各种设备进行取证调查以及了解数字证据的法律意义等方面的技能。许多课程介绍 EnCase、FTK 和 Autopsy 等工具，这些工具支持检查硬盘驱动器和移动设备，以及记录调查结果和简明扼要地展示证据的方法。
热门数字取证课程和认证
状态：免费试用Macquarie University
您将获得的技能: Criminal Investigation and Forensics, Investigation, File Systems, Mobile Security, Cybersecurity, Data Security, Threat Detection, Data Integrity, Graphical Tools, Digital Communications, Malware Protection, File Management, Computer Security Incident Management, Incident Response, Mobile Development Tools, Data Storage, Real Time Data, Disaster Recovery, Network Analysis, Regulation and Legal Compliance
状态：免费试用EC-Council
您将获得的技能: Linux, 文件系统, 网络分析, Network Security, 网络安全, 数据存储, 威胁检测, 恶意软件保护, 数据完整性, Mac OS, 网络应用, Microsoft Windows, 网络攻击
状态：免费试用IBM
您将获得的技能: 计算机安全事件管理, 威胁检测, 事件管理, 事件响应, 技术交流, 安全信息与事件管理（SIEM）, 网络安全, 网络威胁猎杀, 安全管理, 数据完整性, 入侵检测和防御
状态：免费试用Infosec
您将获得的技能: 系统配置, 文件管理, Network Protocol（网络协议, Data Validation, 用户账户, 文件系统, 数据结构, 记录保存, Network Security, 网络安全, 系统软件, USB, 通用网络, 数据安全, 操作系统, Microsoft Windows, 数据分析软件, 数据完整性, 诉讼支持, TCP/IP
状态：免费试用Infosec
您将获得的技能: 文件管理, Network Protocol（网络协议, Data Validation, 文件系统, 技术写作, Network Security, 数据存储, 记录保存, 命令行界面, 数据完整性, TCP/IP, Encryption, 数据安全, 密码学, 诉讼支持, Unix 命令, Linux 命令, Algorithm, 通用网络, 网络安全
- 状态：新状态：免费试用
您将获得的技能: Cybersecurity, Malware Protection, Data Security, Intrusion Detection and Prevention, Network Security, Cyber Attacks, Threat Detection, Cyber Threat Intelligence, Operating System Administration, Computer Security Awareness Training, Network Monitoring, Network Analysis, Operating Systems, Data Integrity, Microsoft Windows, Mac OS, File Systems, Linux, Linux Commands, Email Security
是什么让您今天来到 Coursera？
状态：新状态：免费试用Macquarie University
您将获得的技能: Mobile Security, Anomaly Detection, Criminal Investigation and Forensics, Cyber Security Strategy, Cyber Threat Intelligence, Threat Detection, Investigation, Cyber Attacks, File Systems, Intrusion Detection and Prevention, Fraud detection, Mobile Development, Cybersecurity, Applied Machine Learning, Malware Protection, Cyber Security Policies, Apple iOS, Threat Modeling, Artificial Intelligence and Machine Learning (AI/ML), Data Security
您将获得的技能: Penetration Testing, Vulnerability Assessments, Network Security, Network Analysis, Cyber Security Assessment, Virtual Machines, Virtualization and Virtual Machines, Open Source Technology, Malware Protection, Linux, Microsoft Windows
状态：新状态：免费试用Macquarie University
您将获得的技能: Mobile Security, Investigation, Mobile Development, Apple iOS, Criminal Investigation and Forensics, Android (Operating System), Application Security, Legal Proceedings, Cybersecurity, File Systems, Malware Protection, Computer Security, Secure Coding, Computer Security Incident Management, Cloud Security, Security Strategy, Analysis, Encryption, Debugging, Disaster Recovery
状态：免费试用Imperial College London
您将获得的技能: 数据可视化软件, 患者评估, 电子病历, 数字化转型, 以用户为中心的设计, Agile 方法论, 远程保健, 健康技术, 医疗保健, 医疗隐私, 健康差异, 公共卫生, 技术战略, 交互式数据可视化, 卫生系统, 卫生政策, 信息管理, 健康信息学, 互操作性, Tableau 软件
状态：新状态：免费试用您将获得的技能: Cyber Threat Intelligence, Cyber Threat Hunting, Threat Detection, Vulnerability Assessments, Incident Response, Threat Modeling, Security Information and Event Management (SIEM), Cybersecurity, Threat Management, Computer Security Incident Management, Cloud Security, MITRE ATT&CK Framework, Cyber Risk, Cyber Security Policies, Data Security, Network Security, Cyber Security Strategy, Personally Identifiable Information, Malware Protection, Risk Management
状态：新状态：免费试用EC-Council
您将获得的技能: 计算机安全事件管理, 渗透测试, 身份和访问管理, 云安全, Network Security, 安全信息与事件管理（SIEM）, 物联网, 移动安全, 漏洞管理, 威胁检测, 事件响应, 恶意软件保护, 风险分析, 脆弱性评估, 网络应用, 网络监控, 密码学, 应用安全, 网络安全政策, 网络安全
总之，以下是 10 最受欢迎的 digital forensics 课程
- Cyber Security: Digital Forensics: Macquarie University
- 数字取证基础知识 (DFE): EC-Council
- 事件响应和数字取证: IBM
- 计算机取证: Infosec
- 数码取证概念: Infosec
- Digital Forensics Essentials: Hands-On Edition: EC-Council
- Cyber Security: Essentials for Forensics: Macquarie University
- Digital Forensics for Pentesters - Hands-On Learning: Packt
- Cyber Security: Mobile Security: Macquarie University
- 数字健康: Imperial College London
