Why Data Science with Us?

InfoSecTrain is a leading certification and upskilling training provider with alumni across the globe. Our trainers are high-experienced industry veterans with years of experience in the different domains and roles in Data Science. Our state-of-the-art online training materials along with access to downloadable study resources and access to pre-recorded training sessions are a boost to your Data Science Learning journey.

Will I get a certificate on successful completion of this course?

All students enrolling in this course are entitled to a certificate of completion that is verifiable on our website and can be displayed on your social profiles.

What are my career prospects after completing this course?

The objective of this data science with Python & R training bootcamp is to prepare you for your dream data science career by covering all the fundamental basics of Data Science like Python & R programming, their development environments, Probability and Data Structures for Data Science, Machine Learning, Data Visualization & Interpretation, Deep Learning, etc. Post the course competition, you will be able to apply for entry level positions in Data Science while working on more advanced specializations and tools that will further enhance your prospects.

What is special about this course?

Our data science with Python & R certification course covers the two significant languages necessary for a career in Data Science, Python and R programming languages. Most courses available in the industry today cover one of them leaving very little room for choice for the candidates to choose their own career paths. We take special note in covering all the basic fundamentals and programming concepts

How will I attend the classes and are they conducted live?

You can easily attend the classes of our data science online course from the comfort of your home or pleasure by having a stable internet connection and a working laptop. Our classes are completely delivered online while bifurcated to hour or more long sessions in LIVE Instructor-led teaching mode. Here you will get to learn and interact with your mentors/ instructors live from a browser based experience and meeting tools. Along with this, you will get secret ingredients that can act as catalysts to proceed in your career.

Cybersecurity Data Science Training

Cybersecurity Data Science Training Course

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Data Science is regarded as one of the most in-demand careers today. It is also one of the most fascinating and diversified IT careers in the world, with premium packages that attract attention. The majority of cyber-attacks compromise a company’s stored data and use it for fraudulent purposes. Data security is at the heart of cybersecurity. Cybersecurity Data Science training course from Infosectrain is a novel approach to using data science to detect, prevent, and mitigate cybersecurity threats.

Cybersecurity Data Science Course Description

Overview

Today, data science is one of the most in-demand fields in the IT business. Cybersecurity has also undergone tremendous technological and operational changes in recent days. Infosectrain’s Data Science for Cyber Security course is designed to be an all-in-one resource that may help you advance your profession. Examine all of the fundamentals of Data Science for Cyber Security while also ensuring that you have sufficient exposure to more advanced topics.

The key to making a security system automated and intelligent is to extract security incident patterns or insights from cybersecurity data and construct a data-driven model to go with it. Various scientific methodologies, machine learning techniques, procedures, and systems are employed in order to comprehend and analyse the actual phenomena with data. The information is acquired from reputable cybersecurity sources, and the analytics are used to supplement the most recent data-driven patterns in order to provide more effective security solutions.

Why Data Science for Cyber Security Training with Infosectrain?

InfosecTrain is a proficient technology and security training and consulting organization across the globe, specializing in various IT security courses and services. Our Data Science for Cyber Security training course aims to apply Data Science skills in Cyber Security to mitigate the security threats. You can leverage the following benefits with InfosecTrain:

We can help you present your qualifications and work experience for the designated profile.
We provide a flexible training schedule.
We provide recorded videos after the session to each participant.
We provide post-training assistance.
We also provide a certificate of participation to each candidate.

Target Audience

Candidates who want to build their career in Cyber Security and Data Science
Candidates willing to learn Data Science for Cyber Security from Scratch

Pre-requisites

Basic knowledge of programming languages
Basic understanding of network essentials, core concepts including server and network components

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Cybersecurity Data Science Course Content

Introduction to Data Science

Introduction to Cyber Security

Python Basics

Statements and Loops
Creating Functions
Data Wrangling using Pandas and NumPy

Exploratory Data Analysis

Summary Statistics
Data Visualization
Missing Value detection
Outlier detection
Data Transformation
Splitting the data Into Training and Test Data

Machine Learning for Cyber Security

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

Email Cybersecurity Threats Detection

Introduction to detect spam with Perceptrons
Introduction to Perceptrons
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 Perceptrons
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

Malware Threat Detection

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

Advanced malware threat detection

Obfuscation Detection Python Implementation
Obfuscation Detection Python Explanation
Tracking malware drift Implementation
Tracking malware drift Explanation

Network Anomaly Detection

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

Securing Users Authentication

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

Automatic intrusion detection

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
Deepfake recognition

Securing and Attacking Data with Machine Learning

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

Projects

Online Transaction Fraud Detection
Fake News Detection
Fake Product Review Detection
Spam Email Detection

Credit Card Fraud Detection

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Here's What people are saying about InfosecTrain

Sourabh Maha

India

cot The training was awesome. Helped me clear my concepts and also reduced my preparation time to 1/3rd. Thank you, trainer, for all your dedication to bring your gladiators to pace.

Rudraram Sai Kiran

United Kingdom starnew

cot The trainer is a great presenter/tutor and teaches in a relaxing manner. His sense of humor and honesty about the task ahead for the newbie help make the challenging subject matter accessible. Thank you very much! I had been looking forward to this workshop for weeks, and it exceeded my expectations! I have learned a lot. ... Read More

William Kimuhu

Kenya

cot I loved the training. Coming for more soon. The trainer is easily reachable and helpful.. I loved the staggered payment option given.

Gourav chaturvedi

cot I must say the admin team is excellent and punctual. The trainers are actually the nerve of the team and know how to engage with the students across all the topics.

Jagandeep Singh Suri

cot Thoroughly enjoyed the course and the continuous support from the entire team..

Syed Mudassir

UAE

cot It was a good experience. Looking forward to career growth with Infosectrain. Thank you

Simon Wilkinson

cot Really interesting courses are delivered by really knowledgeable instructors. Worth the fees

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