Big Data Analytics with R Certification Training

Book a Demo

Intellectual rigor, deep knowledge of organizations and systems, and commitment to communities — for those reasons, ConsultingWP is an invaluable partner. Our teams have collaborated to support the growing field of practitioners using collective impact to tackle society’s most complex problems. We couldn’t—and wouldn’t want to — do it without them.

placeholder
Edward Silverman
Chairman, Bluewater Corp.

Big Data Analytics with R Introduction

This Big data analytics & hadoop training program extensively covers big data and predictive analytics techniques using R and Hadoop. With big data analytics, data scientists and others can analyze huge volumes of data that conventional analytics and business intelligence solutions can’t touch. Consider this; it’s possible that your organization could accumulate (if it hasn’t already) billions of rows of data with hundreds of millions of data combinations in multiple data stores and abundant formats. High-performance analytics is necessary to process that much data in order to figure out what’s important and what isn’t. Enter big data analytics.

Big Data Analytics with R Online Course

  • Scenario Oriented Training
  • Materials and Certification Guidance
  • Access For Hands-On
  • Live-Support During Sessions Hours

Our Trainers

  • More than 8 Years of experience in Big Data Analytics with R Technologies
  • Has worked on multiple realtime Big Data Analytics with R projects
  • Working in a top MNC company
  • Trained 2000+ Students so far.
  • Strong Theoretical & Practical Knowledge
  • Industry certified Professionals

Big Data Analytics with R Info

  • Introduction to Big Data
    • Logistics
    • Analysis through DataVisualization
  • Understanding the “business case” and defining a solution framework
  • An introduction to R programming language and environment
  • Techniques of Pre-processing data (Binning, Normalizing, Filling missing values, removing noise)
  • Data Pre-processing—continued
  • Traps and Errors
    • Confusion matrix, Analyze False positives and False Negatives from a problem perspective
    • Different error measures used in Forecasting
  • Model Selection
    • K-fold validation
  • Introduction to Decision Trees and their structure
  • Construction of Decision Trees through simplified examples
    • Choosing the “best” attribute at each non-leaf node
    • Entropy
    • Information Gain
  • Generalizing Decision Trees
    • Information Content and Gain Ratio
    • Dealing with numerical variables other measures of randomness
  • Inductive learning from a 500-ft view
    • Issues in inductive learning like curse of dimensionality
    • Over fitting
    • Bias-Variance tradeoff
  • Pruning a Decision Tree
    • Cost as a consideration
    • Unwrapping Trees as rules
  • A mathematical model for association analysis
  • Large item sets and Association Rules
    • Apriori
    • Constructs large itemsets with minisup by iterations
  • Interestingness of discovered association rules
    • Application examples
    • Association analysis vs. Classification
  • Using Association Rules to compare stores
    • Dissociation Rules
    • Sequential Analysis Using
    • Association Rules
  • Data visualization and Story-telling
    • Anatomy of a graph
  • Animated graphs, BI dashboards and the latest trends in data visualization
  • An end-to-end case study in R involving understanding the data
    • Filling the missing values
    • Applying and assessing models and reporting the results.
  • Working professionals, managers and recent graduates are eligible for the program. We do not specify any academic background requirements.
  • Elementary programming skills.

Online

  • It is a 12 days program and extends up to 2hrs each.
  • The format is 20% theory, 80% Hands-on.
  • Instructor-Led Regular Online (Limited Persons Per Group) Training.
  • Instructor-Led Online On Demand Training ( 1-1 or Corporate Training ).

Corporate

  • It is a 3 days program and extends up to 8hrs each.
  • The format is 20% theory, 80% Hands-on.

Classroom

  • Private Classroom arranged on request and minimum attendees for batch is 4.

m.html

Book a demo

Looking for a First-Class Business Plan Consultant?