Big Data & Prescriptive Analytics

Course Overview

This course explores how a "networked" world has bred new crimes and new responses, and investigates how information and communication technology (ICT) has become a tool, a target, and a place of criminal activity and national security threats, as well as a mechanism of response. This course addresses such questions as how emerging technologies challenge existing laws and criminal procedures; how nation-states regulate criminal conduct across traditional geographic and political boundaries; what reasonable expectations of privacy are in cyberspace; and how control is shifting from traditional mechanisms of law enforcement to new regulatory regimes, including technology.

Specific topics covered include the information environment as crime scene; hacking and unauthorized access; computer use in traditional crimes like financial fraud, drug trafficking, extortion, securities fraud, and political terrorism; identity theft and online fraud; electronic interception, search and seizure, and surveillance, cyber terror, "hacktivism" censorship and free speech; economic espionage; and information warfare.

Certified Big Data Expert

Certified Big Data training

Bootstrap v3.3.7

  • Introduction to Ethical Hacking
  • Footprinting and Reconnaissance
  • Scanning Networks
  • Enumeration
  • Introduction to Ethical Hacking
  • Footprinting and Reconnaissance
  • Scanning Networks
  • Enumeration

Bootstrap v3.3.7

  • Introduction to Ethical Hacking
  • Footprinting and Reconnaissance
  • Scanning Networks
  • Enumeration

Bootstrap v3.3.7

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Modules Covered

  • Introduction to Big Data
  • Hadoop (Big Data) Ecosystem
  • Hadoop Cluster -Architecutre - Configuration files
  • Hadoop Cluster -Architecutre - Configuration files
  • Hadoop Core Components - HDFS & Map Reduce(YARN)
  • Data Integration using Sqoop, Flume & Talend
  • Data Analysis using PIG
  • Data Analysis using HIVE
  • Data Analysis using Impala
  • NoSql Data base - HBASE
  • Hadoop - Other topics and projects
  • Final Project
  • Building blocks (video-based)

Course Duration

  • Regular Track : 12 Weeks (2 Hours/Day)
  • Weekend Track : 12 Weekends (4 Hours/Day)

What Will You Get

  • Weekly assignment, reference codes and study material in PDF format
  • Module wise case studies/ projects
  • Specially curated study material and sample question for SAS Global Certification
  • Career guidance and career support post the completion of some selected assignments and case studies

Advance Big Data Science

Advance Big Data training

Bootstrap v3.3.71

  • Introduction to Ethical Hacking
  • Footprinting and Reconnaissance
  • Scanning Networks
  • Enumeration
  • Introduction to Ethical Hacking
  • Footprinting and Reconnaissance
  • Scanning Networks
  • Enumeration

Bootstrap v3.3.7

  • Introduction to Ethical Hacking
  • Footprinting and Reconnaissance
  • Scanning Networks
  • Enumeration

Bootstrap v3.3.7

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Modules Covered

  • Introduction to Data Science
  • Python: Introduction and Essentials
  • Python: Accessing/Importing and Exporting Data
  • Python: Data Manipulation - Cleansing
  • Python: Data Analysis - Visualization
  • Python: Basic statistics
  • Python: Polyglot programming
  • Spark: Introduction
  • Spark: Spark meets Hive
  • Python: Data Science using Spark
  • Spark -Python: Machine Learning -Predictive Modeling - Basics
  • Spark -Python: Machine Learning in Practice
  • R: Introduction - Data Importing/Exporting (video-based)
  • R: Data Manipulation (video-based)
  • R: Data analysis and Visualization (video-based)

Course Duration

  • Regular Track : 19 Weeks (2 Hours/Day)
  • Weekend Track : 19 Weekends (4 Hours/Day)

What Will You Get

  • Weekly assignment, reference codes and study material in PDF format
  • Module wise case studies/ projects
  • Specially curated study material and sample question for SAS Global Certification
  • Career guidance and career support post the completion of some selected assignments and case studies

Machine Learning Specialization

Machine learning specialization training

Bootstrap v3.3.71

  • Introduction to Ethical Hacking
  • Footprinting and Reconnaissance
  • Scanning Networks
  • Enumeration
  • Introduction to Ethical Hacking
  • Footprinting and Reconnaissance
  • Scanning Networks
  • Enumeration

Bootstrap v3.3.7

  • Introduction to Ethical Hacking
  • Footprinting and Reconnaissance
  • Scanning Networks
  • Enumeration

Bootstrap v3.3.7

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Modules Covered

  • Introduction to Machine Learning
  • Supervised Learning
  • Unsupervised Learning
  • Recommendation Engine
  • Social Media and Text Analytics using R
  • Text Mining, Social Network Analysis and NLP

Course Duration

  • Regular Track : 5 Weeks (2 Hours/Day)
  • Weekend Track : 5 Weekends (4 Hours/Day)

What Will You Get

  • Weekly assignment, reference codes and study material in PDF format
  • Module wise case studies/ projects
  • Specially curated study material and sample question for SAS Global Certification
  • Career guidance and career support post the completion of some selected assignments and case studies

Course related details

  • Certified Ethical hacking training flyer

    View FLYER for this Course

Course related details

  • Pre-Course Technical Evaluation
  • Hand-Over Labs & Practical's Checklist for Review
  • Classroom Evaluation Tests
  • Candidate Wise Reporting & Post Assessment
  • Certificate of Excellence from Codec Networks
  • Live Project Work

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