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IS20 Security Controls Online Training Course

Learning247
Course summary
79 GBP
English
Distance
Next available date: Inquire for more information - Distance
e-learning / Online / Distance

Course description

IS20 Security Controls Online Training Course

This series covers everything you need to know about IS20 Security Controls. Students will learn about inventory of authorized and unauthorized devices, inventory of authorized and unauthorized software, secure configurations for hardware and software on laptops, workstations and servers, secure configurations for hardware network devices such as firewalls, routers and switches, boundary defense, maintenance, monitoring, and analysis of audit logs, application software security, controlled use of administrative privileges, controlled access based on need to know, continuous vulnerability assessment and remediation, account monitoring and control, malware defenses, limitation and control of network ports, protocols and services, wireless device control, data loss prevention, secure network engineering, penetration tests and red team exercises, incident response capability, data recovery capability, and security skills assessment and appropriate training to fill gaps.

Career Path: Professional roles include, but at not limited to Security Consultant/Analyst, Penetration Tester, Security Forensics Experts, and Network Security Engineer.

Series Taught By: Tracy Preston

Training Course Content

This ’Factor Analysis’ online training course will help you understand Factor Analysis and its link to linear regression. See how Principal Components Analysis is a cookie cutter technique to solve factor extraction and how it relates to Machine Learning.

Factor analysis helps to cut through the clutter when you have a lot of correlated variables to explain a single effect. In this course, you will follow along with expert instructors to learn about topics such as Mean & Variance, Eigen Vectors, Covariance Matrices, and so much more!

Course Highlights:
  • Understand & Analyze Principal Components
  • Use Principal Components for dimensionality reduction and exploratory factor analysis
  • Apply PCA to explain the returns of a technology stock like Apple®
  • Build Regression Models with Principal Components in Excel, R, & Python

Course Requirements:

  • No statistics background required. Everything is built up from basic math.
  • The models are implemented in Excel, R, & Python. Install these environments to follow along with the demos.

Target Audience:

  • Data analysts who want to move from summarizing data to explaining and prediction
  • Folks aspiring to be data scientists
  • Any business professionals who want to apply Factor Analysis and Linear Regression to solve relevant problems
Length: 1 hr 45 min

About provider

Learning247

Learning247 

As one of the market-leaders in distance-learning and self-study multimedia-based training, Learning247 provides the most cost-effective route to enable you to update and improve upon your skills; and all without the massive prices that are regularly seen throughout the training...


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Learning247

61 Caroline Street
B3 1UF Birmingham

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