Professional Certificate Course in
Cyber Security Analytics Training
- 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 Assurance
Academic Partners & International Accreditations
"Rise in cyber terrorism is the main force behind the growth of the cybersecurity market which is expected to grow to USD 250 billion by 2023." - (Source). Cybercrime is a global issue that’s been dominating the digital space. Every second data being transmitted across networks, risking information, and exposing the system to several threats. Big organizations, international companies, banks, and governments are doing everything in their power to protect data so that it doesn’t fall into the wrong hands. Cyber Security Analytics has evolved to meet the need for greater security across businesses and delivering real-time analytics and functional intelligence in an easy format. Security Analytics also includes the real-time collection of data, continuous monitoring of security controls, processing and analysis of logs, and flag any suspicious activity immediately. It also speeds up alert verifications and quickly responds to potential threats using security tools. Join this course in cybersecurity analytics in India because today more and more companies are looking for individuals with fundamental capabilities to keep their business safe.6+
Cyber Security Analytics
- Computer Skills
- Basic Mathematical Concepts
- Computer Networks
Cyber Security Analytics Training Overview
Cyber Security is at its prime at the current times in the world. With the advent of data, organizations are building their data analytics departments for data storage & processing more & more data. At the same time, hackers around the world are trying to steal the data. This is because all the strategies devised among the competitors are more or less well established and these strategies can be easily replicated. Hence, the only true differentiator among competitors is data. What data they have access to and how they mine the data will determine the future of organizations. Hence data has to be secured and any vulnerabilities should be proactively arrested, and this is possible with Machine Learning in Cyber Security.
Certification program in Cyber Security and application of Data Science in Cyber Security is among a unique set of programs that 360DigiTMG is offering in its catalog of Industry-Specific courses. It is designed by experts who work in the space of security & privacy and having rich industry experience handling data security. With cybersecurity jobs and salaries skyrocketing, cybersecurity analytics training is devised to help participants build predictive modeling products & solutions to counter the cyber-attacks.
What do you mean by Cybersecurity analytics?
The widespread use of technology in today’s digital world has paved a way to rise in cybercrime and Cybersecurity has become the topmost concern of every organization, or giant corporations. Security teams need to be more vigilant than ever before. Cybersecurity analytics refers to a set of procedures and techniques used to protect the networks, programs, and data from attack, damage or unauthorized access and analyze billions of threat signals in real-time. Cybersecurity analytics focuses on preventing theft of information, various data breaches, and some malware and ransomware attacks.
Cyber Security Analytics Learning Outcomes
The course in Cybersecurity analytics aims to cover all cybersecurity concepts and fundamentals theoretically and practically. Cybersecurity refers to techniques used to mitigate harm to computer networks, applications, devices, and data. Detects intrusions, attacks, misuse, or infections quickly and makes quick, accurate, reliable decisions about the nature of a breach, what caused it, and what action needs to be taken to prevent data losses and avoid further intrusion. A security analyst increases the chances of catching an attack before it is fully executed, minimizing damage, and ensuring the protection of IT assets. Security analytics is an approach to cybersecurity that analyzes data to produce proactive security measures. It is a growing field that provides analytics tools that help predict security threats and send alerts the minute an oddity is located. This course aims to provide a foundational platform for Cyber Security Aspirants by providing Cyber Security Awareness and Training in India. You will learn to resolve security issues in networks and computer systems. Students will explore the different applications of data science & AI in cybersecurity along with understanding descriptive and predictive analytics in cybersecurity. This course is for someone who wants to work on IT issues that have real-world impact. You will also
Block Your Time
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
- Math, Science and Commerce Graduates
Cyber Security Analytics Course Modules
Comprehending the threats that matter quickly is paramount for any security team. A cybersecurity analyst analyzes and assesses potential vulnerabilities in the infrastructure, networks, hardware, and software of a company's IT department and reports any hacking attempts with the goal of developing stronger security procedures. The Module on cybersecurity analytics commences with an understanding of the various problems & challenges in the space of cybersecurity & how Machine Learning is shaping cybersecurity analytics. The students will also explore the various applications of data science & predictive modeling in cybersecurity. You will also learn about Malware detection and how ensemble techniques help in detecting cyber-attacks. The concluding modules familiarize students about the application of clustering – K-Means in detecting anomalies by using Windows event logs & Windows active directory data.
Understand about the various problems & challenges in the space of cybersecurity & how Machine Learning is shaping cybersecurity analytics. Understand about the industry trends, opportunities and why cyber security trainings is pivotal for success of both individuals as well as organizations.
Understand of applications of data science & predictive modelling in cyber security, which includes Spam Detection, Phishing Page Detection, Malware Detection, Anomaly Detection, Software Vulnerabilities and many more.
Understand about the overall flow of the steps involved in Project management methodology for handling data related projects, including, 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
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
Offline Hiring Events
Call us Today!
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 Program
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
There is a range of career opportunities in Cyber Security Sectors and one can work as a Network Security Analyst, Cyber Security Analyst, Security Automation, Cyber Security Practitioner, Cyber Defense Analyst, Information Security Engineer in leading IT Industries and to act as Cyber Security Experts in Government agencies.
Salaries for Cyber Security Analytics Professional
As cyber-attacks have increased in frequency leading to increased demand for cybersecurity analysts who can create new and innovative solutions to combat hackers from stealing critical information. The salary of a cybersecurity analyst in India is between 5 lacs to 10 lacs.
Projects in Cybersecurity Analytics
To gain expertise in any domain, one needs hands-on experience and projects provide that exposure. Develop your keylogger, build a small web app that can break Caesar's cipher, attempt Bug Bounties, and Hackathons or perform a SQL Vulnerability Assessment.
Role of Open Source Tools in Cyber Security Analytics
Open-source security tools facilitate easy modification and customization for the public to cybersecurity designs to fit an organization's needs. Since these tools are free, they also contribute to enterprises to save on their IT budgets. The tools covered in course are R, Python, and RStudio
Modes of Training for Cyber Security Analytics
The course in India is designed to suit the needs of students as well as working professionals. We at 360DigiTMG give our 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
Cybersecurity is crucial across all sectors driven by data and holds significant importance in government agencies, corporates, military, various financial institutions, Oil and gas industry, the healthcare sector, the life sciences, and the public sector. etc.