Big Data Training in Bangalore

Big Data Training in Bangalore and Best Big Data Training Institute in Bangalore

Best Big Data Training in Bangalore

Softgen Infotech located in BTM Layout, Bangalore is a leading training institute providing real-time and placement oriented Big Data Training Courses in bangalore. Our Big Data training course includes basic to advanced levels. we have a team of certified trainers who are working professionals with hands on real time Big Data Knowledge which will provide you an edge over other training institutes.

Our Big Data training centre is well equipped with lab facilities and excellent infrastructure for providing you real time training experience. We also provide certification training programs in Big Data Training.  We have successfully trained and provided placement for many of our students in major MNC Companies, after successful completion of the course. We provide placement support for our students.

Our team of experts at Softgen Infotech Training Institute, Bangalore have designed our Big Data Training course content and syllabus based on students requirements to achieve everyone\\\\\\\\\\\\\\\'s career goal.  Our Big Data Training course fee is economical and tailor-made based on training requirement.

We Provide regular training classes(day time classes), weekend training classes, and fast track training classes for Big Data   Training in our centres located across bangalore. We also provide Online Training Classes for Big Data Training Course.

Contact us today to schedule a free demo and complete course details on Big Data Training Course.


Big Data Training Course Duration

Duration : 30 Hours Version : latest Version
Regular : 1 Hour per day Fast Track : 2 - 3 Hours per day: 10 days
Weekdays : Monday - Friday Weekend : Saturday and Sunday
Online Training : Available Class Room Training : Available
Course Fee : Talk to our Customer Support Mode of Payment : Talk to our Customer Support

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Big Data Training Course Content

Big Datatraining course content and Syllabus

Big DataAnalytics with Data Science Course Content

Introduction

  • Big DataOverview
  • What is Big DataAnalytics
  • Necessity for Big DataAnalytics
  • Role of a Data Analyst
  • What is Data Science
  • Necessity for Data Science
  • Role of Data Scientist
  • Use Cases

  • Finance
  • Retail
  • Advertising
  • Defense and Intelligence
  • Telecommunications and Utilities
  • Healthcare and Pharmaceuticals
  • Data Analytic\\\\\\\'s Process

  • Preparation
  • Pre-Processing
  • Analysis
  • Post Processing
  • Data Preparation

  • Planning
  • Data Collection
  • Data Selection
  • Tools for Data Preparation

  • Introduction to SQL DB\\\\\\\'s
  • Introduction to NoSql DB\\\\\\\'s
  • Key / Value pair
  • MongoDB
  • Cassandra
  • Graph DB\\\\\\\'s (Neo4j)
  • Hands on Exercise : Using SQL and NoSql DB\\\\\\\'s
  • Data Preparation Import/Export

  • Sqoop
  • Flume
  • Hands on Exercise : Usage of Tools
  • Pre-Processing

  • Data Cleaning
  • Data Filtering
  • Data Completion
  • Data Correction
  • Data Standardization
  • Data Transformation
  • Tools for Data Pre-Processing
  • Data Pre-processing using Pig
  • Writing Pig Latin scripts and processing data
  • Data Pre-processing using Hive
  • Writing Hive Scripts and processing data
  • Hands on Exercise : Pig and Hive
  • Data Analysis Introduction

  • Recommendation
  • Classification
  • Clustering
  • Mahout
  • Recommendation

  • Introduction to Recommendations
  • Making recommendations, various techniques
  • Hands on Exercise for Recommendations
  • Classification

  • Classification System Overview
  • Classification process
  • Naive Bayes Classifier
  • Decision Trees
  • Examples of Classification
  • Clustering
  • Clustering basics
  • Hierarchical clustering
  • K-Means clustering
  • Running clustering example
  • Exploring distance measures
  • Data Visualization using R

  • Language basics
  • Data Frames
  • Vectorized operations on Data Frames
  • Selection
  • Projection
  • Transformation