Big Data Training in Bangalore

Learn Big Data Course from Expert Oracle Trainers who are Real-time Working Professionals.
Expert Trainers | Practical Training | Mock Interviews | Placement Assistance | Job Support

Best Big Data Training in Bangalore

Softgen Infotech is rated as one of the Best Big Data Training Institutes in Bangalore based on Google and other third party reviews. We have completed over 2000 Training classes in Big Data and provided 100% placement assistance to students. Over the past 5 years, Team at Softgen Infotech is dedicated to provide High-Quality Training in Big Data.
 
Trainers at Softgen Infotech are handpicked from Big Data Industry and will have a minimum of 5 years of experience in implementing Big Data Technology. All Big Data Trainers are Professional real-time working consultants who offer hands on experience based on live scenarios.
 
Our Big Data training center in Bangalore 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.  We have successfully trained and provided placement for many of our students in major MNC Companies, after successful completion of the course. We provide 100% placement support for our students.

Enroll Today

    Why Choose Softgen Infotech

    Softgen Infotech is a leading Training Institute in Bangalore providing Quality Training for Multiple IT Courses with Placement Assistance.

    Live & Interactive Sessions

    Real Time Training

    Practical Classes

    Interview & Placement Assistance

    Need Advice?

    Worried or Confused whether this is the right course for you? Feel free to reach our Expert Consultant for all your Queries !

    Icon

    Course Material & Syllabus

    Get all Course Content and Syllabus. Get Trained like a  Professional. We Provide Course Material, Prepare for Interviews, Arrange Mock Interviews and 100 % Placement Assistance

    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

    Big Data Training Course Duration & Batch Timings

    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

    Frequently Asked Questions for Big Data Training Course

    Click edit button to change this text. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.

    What Our Students Have to Say about Big Data Course

    Click edit button to change this text. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.
    Kelvin Black
    Click edit button to change this text. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.
    Zasha Swan

    Book A FREE Demo Today

    Worried or Confused whether this is the right course for you?

    Feel free to reach our Expert Consultant for all your Queries !