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Professional Certificate in

Security Analytics Course

With our Security Analytics course, you will emerge as an HR professional ready to grab innumerable opportunities in the space of Self-Service Avenues, Talent Management, Payroll, and Reporting.
  • Get Trained by Trainers from ISB, IIT & IIM
  • 16 Hours of Intensive Online Sessions
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Security Analytics course - 360digitmg
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Academic Partners & International Accreditations
  • Security Analytics course certification with Microsoft
  • Security Analytics course certification certification with NASSCOM certificate
  • AiSPRY
  • Security Analytics course certification with SUNY
  • Security Analytics course certification with NEF

The need for Security Analytics has grown exponentially due to the rapid advancements in malware and cyber exploits. Security Analytics can be defined as a combination of the analytic process, software, and algorithms used to detect potential IT threats.

Security Analytics

Program Cost

INR 12,000/-

Overview of Security Analytics Course

Hackers are attacking IT firms with malware aggressively and it takes a long time for the IT department to detect ad counter the attack, to keep the company safe from cyber-attacks Security Analytics is a boon to organizations. To stay ahead of the cyber attackers, traditional security solutions like antivirus, firewalls and hacking detection and prevention systems will require automation and it is possible with the help of Security Analytics. 360DigiTMG course graduates can easily develop optimized security solutions and help companies in countering cyber-attacks.

Security Analytics Course Training Learning Outcomes

Machine Learning and Big Data Analytics have become game-changer in the Security analytics domain. The Certification Program in Security Analytics is a sui generis attempt to blend machine learning solutions for traditional security problems. Specifically designed to suit the security professionals and data professionals who wish to understand the application of Big Data Analytics, Machine Learning, Neural Networks, and Deep Learning to financial industry data. This Security Analytics course is meant for professionals from the security domain as it provides a comprehensive picture of how data science and artificial intelligence can be leveraged to increase the speed and accuracy of developing anti-cyber-attack applications. Understanding the applications of Data Science, Machine Learning to security will be the prime objective of this content-rich program.

Work with diverse information sources, including logs, network traffic, and security events
Analyze structured and unstructured security data using various tools and techniques
Develop a solid understanding of descriptive and predictive analytics specific to security analytics
Apply data-driven, machine learning approaches for identifying security threats and predicting potential attacks
Gain knowledge of survey methodologies and perform analytics on security-related surveys
Utilize machine learning techniques to enhance security measures and personalize security experiences
Utilize data visualization concepts to effectively represent security data for enhanced comprehension and decision-making.
Block Your Time
Security Analytics course - 360digitmg

16 hours

Classroom Sessions

Security Analytics course - 360digitmg

20 hours

Python
Programming Videos

Who Should Sign Up?
  • IT Security Professionals
  • Cybersecurity Analysts
  • Security Operations Center (SOC) Analysts
  • Security Engineers
  • Incident Responders
  • Threat Intelligence Analysts
  • Data Scientists with an interest in security
  • Information Security Managers
  • Security Consultants
  • Security Auditors
  • IT Professionals looking to specialize in security analytics

Security Analytics Course Modules

  • This module introduces the topic of security
  • Basic information on AI and ML
  • Introduction to the various stages of analytics and using a historical example of the various stages can help understand the steps involved in analytics
  • Discussion on CRISP-ML (Q)
  • Explanation of the importance of CRISP-ML (Q) in various Data Science related projects
  • Explanation of unsupervised and supervised learning
  • Explanation of the training, validation, and testing stages of supervised learning
  • Understanding right fit, underfit and overfit scenarios in supervised learning
  • Understanding Hyperparameter tuning in the context of overfitting
  • This module covers the various steps of EDA
  • Discussion on the 4 business moment decisions in EDA
  • Discussion on univariate, bivariate, and multivariate EDA steps
  • Explanation of the various pre-processing steps involved in any Machine learning or Artificial intelligence project
  • A brief introduction to feature engineering
  • Re-cap of unsupervised learning in ML
  • Understanding of clustering in layman’s terminology
  • Understanding K-means clustering from a technical perspective
  • Understanding the usage of elbow curve and silhouette scoring to decide on the ideal number of clusters
  • Re-cap on supervised learning
  • Understanding of nearest neighbor in ML
  • Understanding the KNN algorithm and distance metrics
  • Understanding of early stopping point in the training phase
  • Explanation of the need for an odd number of neighbors when classifying
  • Understanding the decision-making process for humans and correlating to the topic of Decision Trees
  • Understanding the various components of a decision tree
  • Understanding the idea behind the root node and how it affects the overall tree
  • Understanding entropy and information gain concepts of decision tree to make logical choices on the root node
  • Usage of hyperparameter tuning to optimize the tree
  • Introduction to the concept of line equation
  • Correlation of line equation in ML terms
  • Understanding of correlation and its importance in Linear regression
  • Differentiating between the equations of SLR and MLR
  • Explanation of the OLS concept
  • Re-cap on the topics covered before
  • Understanding the importance of AI
  • Understanding the reasoning behind the concept of neural networks
  • Explanation of the perceptron algorithm
  • Introduction to multilayer perceptron
  • Understanding the concept of weight calculations
  • Brief intro to gradient descent
Tools Covered
Security Analytics course using python
Security Analytics training using r programming
Security Analytics training using r studio programming
How we prepare you
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    Hands-on Experience in Live Projects
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Security Analytics certification course - 360digitmg

Certificate

Earn a Security Analytics Course 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 Security Analytics Course Certificate is your passport to an accelerated career path.

Alumni Speak

Pavan Satya

"The training was organised properly, and our instructor was extremely conceptually sound. I enjoyed the interview preparation, and 360DigiTMG is to credit for my successful placement.”

Pavan Satya

Senior Software Engineer

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Chetan Reddy

"Although data sciences is a complex field, the course made it seem quite straightforward to me. This course's readings and tests were fantastic. This teacher was really beneficial. This university offers a wealth of information."

Chetan Reddy

Data Scientist

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Santosh Kumar

"The course's material and infrastructure are reliable. The majority of the time, they keep an eye on us. They actually assisted me in getting a job. I appreciated their help with placement. Excellent institution.”

Santosh Kumar

Business Intelligence Analyst

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Kadar Nagole

"Numerous advantages of the course. Thank you especially to my mentors. It feels wonderful to finally get to work.”

Kadar Nagole

Data Scientist

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Gowtham R

"Excellent team and a good atmosphere. They truly did lead the way for me right away. My mentors are wonderful. The training materials are top-notch.”

Gowtham R

Data Engineer

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Wan Muhamad Taufik

"The instructors improved the sessions' interactivity and communicated well. The course has been fantastic.”

Wan Muhamad Taufik

Associate Data Scientist

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Venu Panjarla

"The instructors went above and beyond to allay our fears. They assigned us an enormous amount of work, including one very difficult live project. great location for studying.”

Venu Panjarla

AVP Technology

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FAQs for Security Analytics Training Program

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.

Each classroom session is recorded on video and stored in our Learning Management System AISPRY. You will be assigned a dedicated login to AISPRY. You can access the video sessions from AISPRY.

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.

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

This Certificate is valid lifelong. 360DigiTMG has a pay once repeat many times offer on this course. You pay once for the course and can repeat it many times in the future for free. This helps you adapt to technological changes and software updates in the course of your career.

Jobs in the field of Analytics

Jobs in the field of Analytics

The field of Security Analytics serves as a bridge between an organization's security objectives and its technological infrastructure. Professionals in this field can work in various management positions, like Security Operations Manager, Director of Security Analytics, Security Analyst, Threat Intelligence Manager, Incident Response Coordinator, Security Architect, Security Consultant, Vulnerability Management Specialist, Security Engineer, Cybersecurity Project Manager etc.

Salaries for Analytics Course

Salaries for Security Analytics Experts

Salaries for professionals in Security Analytics vary depending on factors such as experience, skills, and location. On average, a Security Analyst can earn between 6,00,000 to 18,00,000 lakhs per annum in India.

Analytics Course Projects

Security Analytics Course Projects

To enhance your skills in Security Analytics, hands-on project work is essential. Some potential projects in this domain could include building a security incident detection and response system, analyzing network traffic for detecting anomalies, conducting threat hunting exercises, implementing security risk assessment frameworks, and designing security architecture for organizations.

Role of Open Source Tools in Analytics Course

Role of Open Source Tools in Security Analytics

Open source tools play a crucial role in Security Analytics as they provide flexibility, customization options, and affordability.

Modes of Training for Analytics Course

Modes of Training for Security Analytics Course

Our Security Analytics course offers multiple training modes to cater to different preferences and schedules. You can choose between classroom training, online learning, or a blended approach that combines both. We also provide e-learning resources as part of the curriculum to facilitate self-paced learning.

Industry Application of Analytics Course

Industry Application of Security Analytics Course

Security Analytics finds widespread application across industries, helping organizations identify, detect, and respond to security threats effectively. Its applications include threat intelligence analysis, incident response management, network security monitoring, vulnerability assessment, risk management, compliance auditing, and security operations optimization. Security Analytics enables organizations to proactively safeguard their systems, data, and digital assets from evolving cyber threats.

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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