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Cybersecurity Data Science Training & Certification

Data Science is one of the most in-demand professions today. It is also one of the most exciting and diverse IT occupations in the world, with attractive premium packages. The vast majority of cyber-attacks breach a company's stored data and then utilize it fraudulently. Data security is crucial to cybersecurity. Cybersecurity CertHippo Data Science training course provides a revolutionary method to leveraging data science to detect, prevent, and mitigate cybersecurity risks.

Why This Course

Certified and experienced trainers provide 24 hours of instructor-led training.

Size: Small Batch 1: 1 Mentor Assistance Access to Pre-recorded Sessions

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Why Enroll In Cybersecurity Data Science Course?

The Cybersecurity Data Science Training Course offers a comprehensive understanding of cybersecurity principles and data science techniques. Participants learn to analyze cybersecurity data, leverage data-driven approaches, and develop practical skills through hands-on exercises. They gain insights into advanced topics such as anomaly detection and predictive analytics, preparing them for in-demand roles in cybersecurity and data science. The course certification validates their proficiency and enhances professional credibility, opening up diverse career opportunities. Overall, this course equips individuals to excel in addressing cybersecurity threats using data science methods.

Cybersecurity Data Science Training Features

Live Interactive Learning

  World-Class Instructors

  Expert-Led Mentoring Sessions

  Instant doubt clearing

Lifetime Access

  Course Access Never Expires

  Free Access to Future Updates

  Unlimited Access to Course Content

24x7 Support

  One-On-One Learning Assistance

  Help Desk Support

  Resolve Doubts in Real-time

Hands-On Project Based Learning

  Industry-Relevant Projects

  Course Demo Dataset & Files

  Quizzes & Assignments

Industry Recognized Certification

  CertHippo Training Certificate

  Graded Performance Certificate

  Certificate of Completion

Cloud

  Preconfigured Lab Environment

  Infrastructure with Tools and Software

  Single Sign-On

About your AWS Course

AWS Solutions Architect Course Skills Covered

Managing Security

Designing Data Storage Solutions

Monitoring Cloud Solutions

Designing Resilient AWS Solutions

AWS Cloud Cost Optimization

Designing Identity Solutions

Cybersecurity Data Science Course Curriculum

  • Statements and Loops

  • Creating Functions

  • Data Wrangling using Pandas and NumPy

  • Summary Statistics

  • Data Visualization

  • Missing Value detection

  • Outlier detection

  • Data Transformation

  • Splitting the data Into Training and Test Data

  • Data Dimensionality Reduction PCA Statistical Intuition and Implementation

  • Segregating data using clustering Statistical Intuition and Implementation

  • Training an XGBoost classifier

  • Analyzing time series using statsmodels Explanation and Implementation using statsmodels

  • Anomaly detection with Isolation Forest Explanation and Implementation

  • Natural language processing using a hashing vectorizer and Tf-Idf Explanation and Implementation

  • Hyperparameter tuning with scikit-optimize Implementation

  • Generating text using Markov chains

  • Introduction to detect spam with Perceptron

  • Introduction to Perceptron

  • Introduction to spam filters

  • Spam filter in action

  • Detecting spam with linear classifiers

  • How the Perceptron learns

  • A simple Perceptron-based spam filter

  • Pros and cons of Perceptron

  • Introduction to Spam detection with SVMs

  • SVM spam filter example

  • Introduction to Phishing detection with logistic regression and decision trees

  • Linear regression for spam detection

  • introduction to Logistic regression

  • Logistic Regression Implementation

  • Introduction to making decisions with trees

  • Phishing detection with decision trees

  • Spam detection with Naive Bayes

  • NLP with Naive Bayes Implementation

  • Introduction to Malware detection

  • Malware goes by many names

  • Malware analysis tools of the trade

  • Static malware analysis

  • Dynamic malware analysis

  • Hacking the PE file format

  • Introduction of Decision tree malware detectors

  • Malware detection with decision trees

  • Random Forest Malware classifier

  • Clustering malware with K-Means

  • K-Means steps and its advantages and disadvantages

  • Detecting metamorphic malware with HMMs Introductions

  • Polymorphic malware detection strategies

  • HMM Implementation

  • Obfuscation Detection Python Implementation

  • Obfuscation Detection Python Explanation

  • Tracking malware drift Implementation

  • Tracking malware drift Explanation

  • Turning service logs into datasets

  • Introduction to classification of network attacks

  • Detecting botnet topology

  • Introduction to different ML algorithms for botnet detection

  • Introduction to Gaussian anomaly detection

  • Gaussian anomaly detection Implementation

  • Introduction to Authentication abuse prevention

  • Fake login management- reactive versus predictive

  • Account reputation scoring

  • User authentication with keystroke recognition Introduction

  • User authentication with keystroke recognition Implementation

  • Biometric authentication with facial recognition Introduction

  • Dimensionality reduction with principal component analysis (PCA) Introduction

  • Eigenfaces Implementation

  • Detecting DDos Attack

  • Credit Card fraud detection Introduction

  • Credit Card fraud detection Implementation

  • Counterfeit bank note detection Implementation

  • Ad blocking using machine learning Implementation

  • Wireless indoor localization Implementation

  • IoT device type identification using machine learning

  • Deep Face recognition

  • Assessing password security using ML

  • ML-based steganalysis Introduction

  • ML-based steganalysis Implementation

  • ML attacks on PUFs Introduction

  • ML attacks on PUFs Implementation

  • ML attacks on PUFs Explanation

  • HIPAA data breaches – data exploration and visualization

  • Online Transaction Fraud Detection

  • Fake News Detection

  • Fake Product Review Detection

  • Spam Email Detection

  • Credit Card Fraud Detection

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Certification

Completing the Cybersecurity Data Science Training Course awards a prestigious certification that validates expertise in cybersecurity and data science. This recognized certification demonstrates comprehensive understanding of cybersecurity principles, data analytics, machine learning, and data visualization. Participants gain the ability to effectively analyze, detect, and respond to cybersecurity threats using data science methodologies. This certification establishes individuals as trusted professionals in the field, enhancing marketability and opening diverse career opportunities as cybersecurity analysts, data scientists, or security consultants. It showcases proficiency in leveraging data-driven approaches to enhance threat detection and response capabilities, reflecting a commitment to excellence in addressing the evolving challenges of the digital landscape.

Cybersecurity Data Science Online Training FAQs

CertHippo is a prominent supplier of certification and upskilling training with alumni all around the world. Our teachers are industry professionals with years of expertise in various fields and jobs in Data Science. Our cutting-edge online training materials, as well as access to downloadable study aids and pre-recorded training sessions, will help you on your Data Science Learning journey.

Artificial intelligence and data science can significantly improve traditional cybersecurity.

While data science relies on cyber security for data integrity and protection, cyber security relies on data science to collect meaningful, actionable data that can be used to better safeguard systems, networks, and data.

When we discuss big data analytics in cyber security, we are referring to the capacity to collect large amounts of digital data. It operates by extracting, visualizing, and analyzing future insights in order to anticipate serious cyber threats and assaults.

large data poses security concerns—privacy and security are important concerns with large data. Bad actors can take use of big data. When data falls into the wrong hands, it may be exploited for phishing, fraud, and misinformation.

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Cybersecurity Data Science Course Description

Course Overview

Data science is becoming one of the most in-demand skills in the IT industry. In recent years, cybersecurity has experienced considerable technical and operational advancements. The Data Science for Cyber Security course from CertHippo is meant to be an all-in-one resource that may help you enhance your career. Examine all of the foundations of Data Science for Cyber Security while also making sure you've had enough exposure to more advanced subjects.


The key to automating and intelligent security systems is to extract security event patterns or insights from cybersecurity data and build a data-driven model around it. To interpret and assess actual phenomena with data, many scientific methodology, machine learning techniques, procedures, and systems are used. The data is obtained from trustworthy cybersecurity sources, and the analytics are utilized to complement the most recent data-driven patterns in order to give more effective security solutions.

Why Data Science for Cyber Security Training with CertHippo?

CertHippo is a global technology and security training and consulting firm that specializes in different IT security courses and services. Our Data Science for Cyber Security training course attempts to apply Data Science skills to cybersecurity concerns. CertHippo may provide you with the following advantages:


  • We can assist you in presenting your qualifications and job experience for the specific profile.

  • We provide a versatile training regimen.

  • Following the session, we provide recorded footage to each participant.

  • We offer post-training support.

  • Each applicant also receives a participation certificate.

Target Audience

  • Candidates seeking to further their careers in Cyber Security and Data Science 

  • Candidates eager to master Data Science for Cyber Security from the ground up

Pre-Requisites

  • Programming language fundamentals

  • Basic grasp of network fundamentals, including server and network components

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Selenium Certification

Completing the Cybersecurity Data Science Training Course awards a prestigious certification that validates expertise in cybersecurity and data science. This recognized certification demonstrates comprehensive understanding of cybersecurity principles, data analytics, machine learning, and data visualization. Participants gain the ability to effectively analyze, detect, and respond to cybersecurity threats using data science methodologies. This certification establishes individuals as trusted professionals in the field, enhancing marketability and opening diverse career opportunities as cybersecurity analysts, data scientists, or security consultants. It showcases proficiency in leveraging data-driven approaches to enhance threat detection and response capabilities, reflecting a commitment to excellence in addressing the evolving challenges of the digital landscape.

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