Certificate Program in
Cyber Security Analytics
- Get Trained by Trainers from ISB, IIT & IIM
- 40 Hours of Intensive Classroom & Online Sessions
- 60+ Hours of Practical Assignments
- 2 Capstone Live Projects
- 100% Job Placement Assistance
"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
- 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.
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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.
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.
Cyber Security Analytics Trends in Malaysia
The occurrence of Cyberthreats is becoming high as technology and the internet have evolved over the last 10 years. To overcome these cyberthreats many advanced technologies are emerging. One of them is Artificial Intelligence, it can harness the power of data and can give incredible insights to fight against cybercrimes. It identifies the hidden patterns and analyses them by which we can act quickly. The protection of supply chains will be essential for vendors to safeguard their customer’s data. As more than 75 billion mobile devices are being used globally which are lacking updated software, unsecured devices, etc. this will act as vectors for cyber attackers. By 2022 half of data will be generated and processed at the edge or cloud. The best solution from such kinds of attacks is to protect supply chains and multifactor authentication.
Though many companies are coming forward with the best cybersecurity services, well-trodden attacks like phishing are still taking place. A hybrid cloud is a key solution to it as it provides enhanced safety. It allows Artificial intelligence to draw insights about any occurring threat. Public cloud is also used to safeguard by sign-in location checks or secondary authentication controlling traffic. At present two-thirds of companies are on hybrid cloud and few are planning to deploy them in the future. We can expect that this trend will continue further. Another trend is Multifactor authentication, which reduces the risk of identity by 99%. Usage of biometrics and identity-based certificates will escalate safety and streamline the user experience for organizations. ensuring personal privacy. As advanced technologies are evolving to fight against cyber crimes, professionals who have adequate knowledge of cybersecurity analytics will have a huge demand to fit into this.
How We Prepare You
Additional Assignments of over 60+ hours
Live Free Webinars
Resume and LinkedIn Review Sessions
Lifetime LMS Access
Job Placements in Cyber Security Analytics Fields
Unlimited Mock Interview and Quiz Session
Hands-on Experience in Live Projects
Life-Time Free Access to Industry Webinars
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Cyber Security Analytics Course Panel of Coaches
Bharani Kumar Depuru
- Areas of expertise: Data analytics, Digital Transformation, Industrial Revolution 4.0
- Over 14+ years of professional experience
- Trained over 2,500 professionals from eight countries
- Corporate clients include Hewlett Packard Enterprise, Computer Science Corporation, Akamai, IBS Software, Litmus7, Personiv, Ebreeze, Alshaya, Synchrony Financials, Deloitte
- Professional certifications - PMP, PMI-ACP, PMI-RMP from Project Management Institute, Lean Six Sigma Master Black Belt, Tableau Certified Associate, Certified Scrum Practitioner, AgilePM (DSDM Atern)
- Alumnus of Indian Institute of Technology, Hyderabad and Indian School of Business
Sharat Chandra Kumar
- Areas of expertise: Data sciences, Machine learning, Business intelligence and Data visualisation
- Trained over 1,500 professional across 12 countries
- Worked as a Data scientist for 14+ 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, R, RStudio, Python, Tableau, Cognos
- Corporate clients include DuPont, All-Scripts, Girnarsoft (College-dekho, Car-dekho) and many more
- Areas of expertise: Data sciences, Machine learning, Business intelligence and Data visualisation
- Over 20+ years of industry experience in data science and business intelligence
- Trained professionals from Fortune 500 companies and students at prestigious colleges
- Experienced in Cognos, Tableau, Big Data, NoSQL, NewSQL
- Corporate clients include Time Inc., Hewlett Packard Enterprise, Dell, Metric Fox (Champions Group), TCS and many more
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.
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
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
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
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
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 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 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.