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Data Science Online Training :

Vtechsoft’s Big Data and Data Science masters course will provide you with in-depth knowledge on designing, developing and managing Data Science and Big Data application in the real world, along with performance tuning of the application.

This Data science online Training course will make you a Big Data and Data Science architect, and by the end of the course you will have expertise on Hadoop Developing, Administration, testing and analysis modules, working with real-time analytics, statistical computing, parsing machine-generated data, creating No SQL applications and finally the domain of Deep Learning in Artificial Intelligence. This especially is specially designed by industry experts.

Course Objectives

Mastering the field of data science begins with understanding and working with the core technology frameworks used for analysing bigger data. You’ll learn the developmental and programming frameworks like Hadoop and Spark used to process massive amounts of data in a distributed computing environment, and develop expertise in complex data science algorithms and their implementation using R and finally the preferred language for statistical processing. The insights you will dig from the data are presented as consumable reports using data visualization platforms such as Tableau.

Once after getting mastered in data management and predictive analytic techniques, you will gain exposure to state-of-the-art machine learning technologies. This most expansive learning path will help you get yourself excel across the entire spectrum of big data and data science technologies and techniques.

Who Needs This Training

  • Software developers and testers
  • Software architects
  • Analytics professionals
  • Business analysts
  • Data analysts
  • Data management professionals
  • Data warehouse professionals
  • Project managers
  • Mainframe professionals
  • Graduates desiring to build a career in analytics

About Trainer

Our trainers are Solution Architects with years of hands-on experience in design and implementation of complex projects in large enterprises. Data scientist with good experience in Hadoop, HBase, Hive, Spark, Crunch, HBase, Zookeeper, Sqoop, Flume, Oozie, Solr, Cassandra, Map Reduce, Kafka, Kite, R. They are experts in design and development of web services and API development / Deployment also application development using Java, spring, Hibernate, Struts, Angular, HTML, CSS, SQL.

They successfully implemented the Project on Big Data Platform and using technologies like Spark, Hive, Pig, Oozie, Sqoop, and Impala. They possess very strong Exposure to CI/CD tools including maven, Git, Jenkins. They have Exposure to Integration using JMS/REST, IBM MQ, WMB, Websphere ESB and Apache Kafka. Also, they are experienced in all the phases of SDLC including Agile (Scrum), Waterfall, TDD and Iteration. All our trainers are certified Software Architects and Certified programmers.

DevOps Course These are the Main Topics We Cover :


• What is DevOps?
• Dev and Ops
• DevOps Methodology
• DevOps objectives and goals



• What is a version control system?
• What is a distributed version control system?
• Installation
• Different levels of Git configuration
• The process of staging and committing
• The details of the commit objects


• Nexus prerequisites
• Installing and Running Nexus • Using the Nexus User Interface



• Continuous Integration with Jenkins Overview
• Installation
• Configure Jenkins
• Jenkins management
• Support for the Git version control systems
• Different types of Jenkins Jobs
• Setting up a Jenkins job
• Scheduling build Jobs • Maven Build Scripts
• Securing Jenkins
• Authentication
• Authorization
• Confidentiality
• Creating users

  Jenkins Plugin

• Installing Jenkins Plugins
• SCM plugin
• Build and test
• Analyzers

  Distributed builds with Jenkins

  Best Practices for Jenkins



• Introduction to Puppet
• Installation and Configuration of Master server and agents
• Managing Manifests
• Creating and Managing modules
• Version control with Puppet


• Overview of Chef
• Common Chef Terminology (Server, Workstation, Client, Repository etc.)
• Servers and Nodes
• Chef Configuration Concepts

  Workstation Setup

• How to configure knife
• Execute some commands to test connection between knife and workstation

  Organization Setup

• Create organization
• Add yourself and node to organization

  Test Node Setup

• Create a server and add to organization
• Check node details using knife

  Data bags

• How to create Data bags
• Add Data bags to organization

  Node Objects and Search

• How to Add Run list to Node
• Check node Details


• How to create Environments
• Add servers to environments


• Create roles
• Add Roles to organization

  Advanced Chef

• What is food critic and TestKichen
• Improve and expand on the existing recipes
• One-click system launching


• Introduction to Ansible.
• Setup and Configuration.
• Ansible Playbooks.
• System Facts.
• Target, Variable, Handler section.
• Ansible Modules



• What is Vagrant
• Uses of Vagrant in an environment

  Installation and Configuration

• How to install Vagrant in Windows and Linux
• Configure Vagrant

  Provisioning with Vagrant

• How to use Vagrant to create small virtual environment
• Add required Images to Vagrant

  Using Vagrant

• Using Vagrant in Chef for Testing



• What is Docker
• Uses of Docker in an environment

  Installation and Configuration

• How to install Docker in Windows and Linux
• Configure Docker

  Provisioning with Docker

• How to use Docker to create small virtual environment
• Add required Images to Docker


• Monit


• Basic Overview of NoSQL Database.

  Basic overview of MongoDB

• Configuration
• Clustering Concepts

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(+91) 97040 17167