Big-Data-Prescriptive-Analytics

Artificial Intelligence | Machine Learning Training with Certification

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

Lorem ipsum dolor sit amet, consectetur adipisicing elit. Itaque, optio corporis quae nulla aspernatur in alias at numquam rerum ea excepturi expedita tenetur assumenda voluptatibus eveniet incidunt dicta nostrum quod?

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

Lorem ipsum dolor sit amet, consectetur adipisicing elit. Itaque, optio corporis quae nulla aspernatur in alias at numquam rerum ea excepturi expedita tenetur assumenda voluptatibus eveniet incidunt dicta nostrum quod?

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

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