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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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"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.

Tools Covered
Cyber Security Analytics course using python
Cyber Security Analytics training using r programming
Cyber Security Analytics training using r studio programming
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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Cyber Security Analytics Course Panel of Coaches

Artificial Intelligence & Deep Learning Course Training -360digitmg

Bharani Kumar Depuru

  • Areas of expertise: Data analytics, Digital Transformation, Industrial Revolution 4.0
  • Over 18+ years of professional experience
  • Trained over 2,500 professionals from eight countries
  • Corporate clients include Deloitte, Hewlett Packard Enterprise, Amazon, Tech Mahindra, Cummins, Accenture, IBM
  • Professional certifications - PMP, PMI-ACP, PMI-RMP from Project Management Institute, Lean Six Sigma Master Black Belt, Tableau Certified Associate, Certified Scrum Practitioner, (DSDM Atern)
  • Alumnus of Indian Institute of Technology, Hyderabad and Indian School of Business
Read More >
Artificial Intelligence & Deep Learning Course Training -360digitmg

Sharat Chandra Kumar

  • Areas of expertise: Data sciences, Machine learning, Business intelligence and Data
  • Trained over 1,500 professional across 12 countries
  • Worked as a Data scientist for 18+ years across several industry domains
  • Professional certifications: Lean Six Sigma Green and Black Belt, Information Technology Infrastructure Library
  • Experienced in Big Data Hadoop, Spark, NoSQL, NewSQL, MongoDB, Python, Tableau, Cognos
  • Corporate clients include DuPont, All-Scripts, Girnarsoft (College-, Car-) and many more
Read More >
Artificial Intelligence & Deep Learning Course Training - 360digitmg

Bhargavi Kandukuri

  • Areas of expertise: Business analytics, Quality management, Data visualisation with Tableau, COBOL, CICS, DB2 and JCL
  • Electronics and communications engineer with over 19+ years of industry experience
  • Senior Tableau developer, with experience in analytics solutions development in domains such as retail, clinical and manufacturing
  • Trained over 750+ professionals across the globe in three years
  • Worked with Infosys Technologies, iGate, Patni Global Solutions as technology analyst
Read More >
cyber security analytics certificate course in malaysia - 360digitmg


Earn a certificate and demonstrate your commitment to the profession. Use it to distinguish yourself in the job market, get recognised at the workplace and boost your confidence. The Data Science in Cyber Security Analytics Certificate is your passport to an accelerated career path.

**All certificate images are for illustrative purposes only. The actual certificate may be subject to change at the discretion of the Certification Body.

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Alumni Speak

Nur Fatin

"Coming from a psychology background, I was looking for a Data Science certification that can add value to my degree. The 360DigiTMG program has such depth, comprehensiveness, and thoroughness in preparing students that also looks into the applied side of Data Science."

"I'm happy to inform you that after 4 months of enrolling in a Professional Diploma in Full Stack Data Science, I have been offered a position that looks into applied aspects of Data Science and psychology."

Nur Fatin

Associate Data Scientist

Thanujah Muniandy

"360DigiTMG has an outstanding team of educators; who supported and inspired me throughout my Data Science course. Though I came from a statistical background, they've helped me master the programming skills necessary for a Data Science job. The career services team supported my job search and, I received two excellent job offers. This program pushes you to the next level. It is the most rewarding time and money investment I've made-absolutely worth it.”

Thanujah Muniandy

Ann Nee, Wong

"360DigiTMG’s Full Stack Data Science programme equips its graduates with the latest skillset and technology in becoming an industry-ready Data Scientist. Thanks to this programme, I have made a successful transition from a non-IT background into a career in Data Science and Analytics. For those who are still considering, be bold and take the first step into a domain that is filled with growth and opportunities.”

Ann Nee, Wong

Mohd Basri

"360DigiTMG is such a great place to enhance IR 4.0 related skills. The best instructor, online study platform with keen attention to all the details. As a non-IT background student, I am happy to have a helpful team to assist me through the course until I have completed it.”

Mohd Basri

Ashner Novilla

"I think the Full Stack Data Science Course overall was great. It helped me formalize and think more deeply about ways to tackle the projects from a Data Science perspective. Also, I was remarkably impressed with the instructors, specifically their ability to make complicated concepts seem very simple."

"The instructors from 360DigiTMG were great and it showed how they engaged with all the students even in a virtual setting. Additionally, all of them are willing to help students even if they are falling behind. Overall, a great class with great instructors. I will recommend this to upcoming deal professionals going forward.”

Ashner Novilla


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FAQs for Cyber Security Analytics Programme

This course just assumes some basic computer familiarity and analytical mindset. It definitely helps if the learner has some background in Auditing and Financial Reporting, SQL and Programming languages such as Python and R.

This course is specifically catered to learners intending to either begin or advance their careers in the auditing and financial reporting industry. As such, you will be exposed to highly relevant financial data.

You will be exposed to financial statements, general ledger and sub-ledger data and many more datasets that are unique to the financial reporting and auditing industry.

Ideally, for the purposes of this course, we have already procured and hosted the necessary datasets (samples), but if some learners are interested in how all of the Data Engineering work is done, it can be offered as a separate (or an addendum) course.

Different organisations use different terms for data professionals. You will sometimes find these terms being used interchangeably. Though there are no hard rules that distinguish one from another, you should get the role descriptions clarified before you join an organisation.

With growing demand, there is a scarcity of data science professionals in the market. If you can demonstrate strong knowledge of data science concepts and algorithms, then there is a high chance for you to be able to make a career in this profession.


360DigiTMG provides internship opportunities through Innodatatics, our USA- based consulting partner, for deserving participants to help them gain real-life experience. This greatly helps students to bridge the gap between theory and practical.

There are plenty of jobs available for data professionals. Once you complete the training, assignments and the live projects, we will send your resume to the organisations with whom we have formal agreements on job placements.


We also conduct webinars to help you with your resume and job interviews. We cover all aspects of post-training activities that are required to get a successful placement.

After you have completed the classroom sessions, you will receive assignments through the online Learning Management System that you can access at your convenience. You will need to complete the assignments in order to obtain your data scientist certificate.

You will be attending 20 hours of classroom and/or virtual instructor-led sessions. After completion, you will have access to the Learning Management System for another three months for recorded videos and assignments. You will also have another month after the classroom sessions to complete the live project.

If you miss a class, we will arrange for a recording of the session. You can then access it through the online Learning Management System.

We assign mentors to each student in this programme. Additionally, during the mentorship sessions, if the mentor feels that you require additional assistance, you may be referred to another mentor or trainer.

No, the cost of the certificate is included in the programme package.

Jobs in the Field of Cyber Security Analytics in Malaysia

Jobs in the Field of Cyber Security Analytics in Malaysia

Job titles available for Cyber Security Analytics are Cybersecurity Analyst, Cyberthreat Intelligence Analyst, Cyber and information security Analyst, Security operations analyst, Senior security analyst.

Salaries in Malaysia for Cyber Security Analytics

Salaries in Malaysia for Cyber Security Analytics

The average salary at entry-level for Security Analyst in Malaysia will be RM 45,500, mid-career RM75,350, and for experienced it will increase. This varies according to the roles and responsibilities.

Cyber Security Analytics Projects in Malaysia

Cyber Security Analytics Projects in Malaysia

Many projects are being carried out in the sectors which include automation, Defence services, Banking which have a potential impact from cyber-attacks.

Role of Open Source Tools in Cyber Security Analytics

Role of Open Source Tools in Cyber Security Analytics

Cyber Security Analytics is operated with tools named Python, R, and R studio. Students will be exposed to the fundamentals and applications of these prime tools.

Modes of training for Cyber Security Analytics

Modes of Training in Cyber Security Analytics

360DigiTMG offers students the option of both classroom and online learning. We also support e-learning as part of our curriculum.

Industry Application of Cyber Security Analytics

Industry Applications of Cyber Security Analytics in Malaysia

Cyber Security Analytics has great potential in industries like Automation, Health care, Transportation, Banks, Military services, Manufacturing, Retail, Financial, and so on.

Companies That Trust Us

360DigiTMG offers customised corporate training programmes that suit the industry-specific needs of each company. Engage with us to design continuous learning programmes and skill development roadmaps for your employees. Together, let’s create a future-ready workforce that will enhance the competitiveness of your business.


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360DigiTMG - Data Science, IR 4.0, AI, Machine Learning Training in Malaysia

Level 16, 1 Sentral, Jalan Stesen Sentral 5, Kuala Lumpur Sentral, 50470 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

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