Predictive Analytics for Cybersecurity E-Learning Training Course

Order this unique Predictive Analytics for Cybersecurity E-Learning course online. Get 1 year, 24/7 access to rich interactive videos, spoken explanations, progress monitoring via reports and tests per chapter. Strengthen your skills in using predictive analytics to identify and prevent cyber threats!

Why choose this course?

• Innovative Learning Experience: Developed by certified cybersecurity experts and data analysts.
• Flexible Learning: Learn at your pace, when and where you want, with unlimited access to high-quality content.
• Practical Application: Understand how to use predictive analytics to identify and address threats early.
• Test Your Knowledge: Chapter tests and interactive videos ensure you can apply the material immediately.
• Progress Monitoring: Reports help you understand your performance and growth.

Who should participate?

This course is designed for:

• Cybersecurity Specialists looking to expand their skills with predictive analytics.
• IT professionals responsible for security and data management.
• Data analysts who want to delve into the world of cybersecurity.
• Managers and Leaders who make strategic decisions based on data insights.
• Students and professionals who want to build a career in cybersecurity or data analytics.

Course content

Predictive Analytics: Case Studies for Cybersecurity

Course: 1 Hour, 24 Minutes

• Course Overview
• The Need for AI in Cybersecurity
• Uses and Limitations of AI in Cybersecurity
• Classification Models for Cybersecurity
• Precision, Recall, ROC Curve, and AUC Metric
• Gas Pipeline Intrusion Detection Case Study
• Gas Pipeline Intrusion Detection Case Study Findings
• Malware Detection Case Study
• Malware Detection Case Study Findings
• Course Summary

Predictive Analytics: Identifying Network Attacks

Course: 2 Hours, 4 Minutes

• Course Overview
• Creating an Azure Machine Learning Workspace
• Importing Data on Network Cyberattacks
• Creating a Data Column for Cyberattack Type
• Viewing and Testing Network Cyberattack Data
• Visualizing Network Cyberattack Data
• Predicting Cyberattacks
• Setting Up Cyberattack Data for Machine Learning
• Performing One-hot Encoding on Cyberattack Data
• Viewing Cyberattack Prediction Model Performance
• Predicting Cyberattacks with Feature Selection
• Using a Chi-square Test for Feature Selection
• Setting Up Data for Cyberattack Type Classification
• Training the Cyberattack Type Classification Model
• Testing an Overfit Cyberattack Classification Model
• Performing Classification Model Feature Selection
• Selecting Features Using the Chi-square Test
• Course Summary

Start Your Cybersecurity Training Today!

Cyber threats evolve rapidly, and predictive analytics are key to fighting future attacks. Register now and get instant access to training that will enhance your career.

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