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Cyber Security Analytics

Boost your career in the space of security & privacy with CyberSecurity analytics training, it is devised to help participants build predictive modeling products & solutions to counter cyber-attacks.
  • Get Trained by Trainers from ISB, IIT & IIM
  • 16 Hours of Intensive Classroom & Online Sessions
  • 24+ Hours of Practical Assignments
  • 2 Capstone Live Projects
  • 100% Job Placement Assistance
cyber security Analytics course - 360digitmg
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cyber security Analytics course reviews - 360digitmg
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"With the boom in the need for cybersecurity workers, Malaysia needs to train 10,600 cybersecurity professionals by 2020." - (Source). With the rapid growth of technology and IoT, there are occurrences of a data breach and causing cyber threats against many organizations. Research on cybersecurity incidents revealed that there is a substantial economic loss to the countries. The Asia Pacific CISO informed that Malaysia is improving its cybersecurity by imbibing advanced technologies. As cyber threats are growing, organizations are adopting analytics and automation to safeguard their data from cyber-attacks, and this aids cyber specialists in their work. Advanced methodologies and technologies to strengthen cybersecurity include Artificial Intelligence, Machine Learning, Contextual, behavioral analysis, big data security analytics, next-generation defense mechanisms. This will enable Cybersecurity analysts to detect and provide insights about cyber attacks and threat actors and protect AI models against cyber threats by adaptive adversaries.

Cyber Security Analytics

cyber security course duration in malaysia - 360digitmg

Total Duration

1 Month

cyber security analytics course pre-requisites in malaysia - 360digitmg


  • Computer Skills
  • Basic Mathematical Concepts
  • Computer Networks

Cyber Security Analytics Training Overview

This certification course in cybersecurity is replete with details of cybersecurity attacks and applications of Data Science, AI and Deep Learning in cybersecurity. It is designed by experts who work in the space of security and privacy and having rich industry experience handling data security. After this program, the student will be proficient in the applications of descriptive and predictive analytics, times series and forecasting in cybersecurity. The deployment of unsupervised learning techniques for Network Anomaly Detection is detailed. Apprehend machine learning for malware detection and lazy learning for fingerprint classification. Understand the concepts of project management of any data science project.

Cyber Security Analytics Training Outcomes

360DigiTMG offers the best Cyber Security Analytics course in Malaysia. This course provides the relevant skills to the students that ensure them to get lucrative jobs. Students will get acquainted with the latest technologies and their applications in Cybersecurity. Learn about primary applications of Data Science and Artificial Intelligence. Learn about Machine learning techniques, applications of descriptive and predictive analytics in Cybersecurity. Gain knowledge about forecasting and application of time series. This course is designed to train students with the advanced knowledge as per the industry requirements.


Learn about the various cyber security attacks
Learn about applications of data science & AI in cyber security
Machine learning for various malware detection
Develop an understanding of descriptive and predictive analytics in cyber security
Applications of time series / forecasting in cyber security
Deep Learning in building AI applications in cyber security
Unsupervised learning application in the space of cyber security
World of opportunities in the space of cyber security analytics

Block Your Time

cyber security analytics course in malaysia - 360digitmg

16 hours

Classroom Sessions

cyber security analytics course in malaysia - 360digitmg

24 hours

Assignments &

cyber security analytics course in malaysia - 360digitmg

16 hours

Live Projects

Who Should Sign Up?

  • Internal Auditors
  • CFO/Director/Head of Accounting
  • Business Analysts
  • Data Analysts
  • Banking and Accounting Analysts
  • Certified Financial Analysts
  • Credit Analysts
  • Financial Advisors
  • Math, Science and Commerce Graduates

Cyber Security Analytics Course Modules

Cyber Security modules are formulated by industry experts who have extensive years of experience. The primary module consists of the basics of cybersecurity analytics. Students will learn about various challenges, the applications of Machine learning in analytics. Learn about Data Science, Artificial Intelligence, and predictive modeling techniques that include Spam detection, Phishing Page detection, Malware Detection, etc. learn about the kernel-based method and application of ensemble techniques in detecting cyber attacks. Concepts have elaborated that include Brute force classification. Learn various adversarial attacks and GANs in image classification and concepts of CAPTCHAs. Understand about DDoS attacks and applications of clustering - K-Means in detecting malware. Learn to detect viruses and hackers by IoT sensors. Students will be thoroughly trained by providing them with industrial relevant case studies. By Hands-on experience, students will be able to handle business challenges.

1. Data Science Foundation Module

Get about, CRISP - ML(Q) the perfect Project Management Methodology used for handling Data Mining projects. Understand the entire process flow including Business Problem definition, Data Collection, Data Cleansing, Feature Engineering, Feature Selection, Model Building, Deployment and Maintenance. Get introduced to the principles of big data and learn about the opportunities being created. Understand about how Data is generation and explosion of data, Innovations in the space of analytics. Learn how to distinguish between data types, Exploratory data analysis, the Various moments of Business decisions and various Graphical techniques. Learn about probability and probability distribution namely Z distribution and Student's t-distribution.

Learn about Hypothesis testing, the many Hypothesis testing Statistics, work with the Null Hypothesis & Alternative hypothesis and Types of hypothesis testing. Interpret the results of Hypothesis test and probabilities of Alpha error, understand Type I and Type II errors. Get introduced to Linear regression, various components of Linear regression viz regression line, Linear regression equation, the concept of Ordinary Least Square. Get introduced to Linear regression analysis, and Linear regression examples

Understand the Linear regression in a multivariate scenario, understand collinearity and how to deal with it. Get introduced to the analysis of Attribute Data, understand the principles of Logistic regression, Binary Logistic regression analysis. Learn about the Multiple Logistic regression, Probability measures, and its interpretation. Get clarity on the confusion matrix and its elements. Get introduced to “Cut off value” estimation using AUC and ROC curve, understand False Positive Rate, False Negative Rate, Sensitivity, Specificity. Gain a birds-eye view to various advanced regression techniques and analysis of count data namely Poisson regression, Negative binomial regression. Learn when to use Poisson regression and negative binomial regression for predicting count data.

2. Cyber Security Analytics Module

Understand the various problems and challenges in the space of cybersecurity and how Machine Learning is shaping cybersecurity analytics. Understand the industry trends and opportunities. Learn how cyber security can be pivotal for the success of your organization.

Understand the applications of data science and predictive modelling in cyber security. This includes Spam Detection, Phishing Page Detection, Malware Detection, Anomaly Detection, Software Vulnerabilities etc.

Understand the overall flow of steps involved in Project management methodology for handling data related projects in Data Science, Machine Learning, Data Visualization, Artificial Intelligence, etc.

Understand about Malware detection and application of Kernel based method – SVM for Android Malware Detection. Also learn about application of ensemble techniques in detecting cyber-attacks.

Understand about lazy learning techniques such as KNN and application of the same in Biometrics including Brute Force Classification.

Learn about the various types of Adversarial attacks and applications of GANs in Image classification/misclassification as well as Malware detection. Also learn about application of AI in knocking down CAPTCHAs.

Understand about the various components and seasonal spikes in identifying DDoS (Distributed Denial-of-Service) attacks.

Understand about the various network anomaly detection algorithms & types of network attacks. Finally, one will learn to detect botnet topology.

Learn about application Regression based techniques – Logistic as well as Blackbox Technique – Support Vector Machines in detecting malicious URLs.

Understand about application of clustering – K-Means in detecting anomalies by using Windows event logs & Windows active directory data.

Ransomware, Spyware, Different types of viruses and its detection using AI applications. Malicious virus detection in databases as well as IoT sensors. Detecting hackers & impersonators will also be explained.

How We Prepare You
  • Cyber Security Analytics training with placements
    Additional Assignments of over 60+ hours
  • Cyber Security Analytics course with placements
    Live Free Webinars
  • Cyber Security Analytics training institute with placements
    Resume and LinkedIn Review Sessions
  • Cyber Security Analytics course with certification
    6 Months LMS Access
  • Cyber Security Analytics certification
    Job Placements in Cyber Security Analytics Fields
  • best Cyber Security Analytics course
    Complimentary Courses
  • best Cyber Security Analytics course training
    Unlimited Mock Interview and Quiz Session
  • best Cyber Security Analytics training with placements
    Hands-on Experience in Live Projects
  • Cyber Security Analytics course
    Life-Time Free Access to Industry Webinars

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