Data Analytics and Big Data

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Subject: 
Course Contents: 

4 Modules: each module is 40 hours

  1. Big Data Analytics– Introduction
  2. Basic Data Analytics
  3. Hadoop
  4. Data Analytics- Advanced

Course details:

  1. Big Data Analytics- Introduction (In class training - 40 hours)
    • Intro to Big Data
    • Data Mining method
    • Hypothesis testing
    • Machine learning
    • Natural Language Processing
    • Text Classification
    • Intro to Hadoop
    • Probability and Statistics
    • SQL and NoSQL database management
    • Visualization
  2. Basic Data Analytics (In class training - 40 hours)
    • R programming
    • Probability
    • Statistics in R
    • Normal probability distribution
    • Sampling distributions
    • Regression
    • Classification
    • Clustering
  3. Hadoop (In class training - 40 hours)
    • Distributed Computing
    • Hadoop core concepts
    • Hadoop Cluster
    • Hadoop Ecosystem
    • Intro to MapReduce
    • Programming Hive
    • Programming Pig
    • Sqoop, Flume and Spark
    • Hadoop Use Cases
  4. Advanced Data Analytics (In class training - 40 hours)
    • Intermediate R
    • Basic data Structure
    • Data Visualization
    • Intro to Prediction
    • Statistical methods
    • Data cleaning Methods
    • Classification
    • Regression
    • Clustering

Duration: 
160 hours
For more information on Data Analytics and Big Data please feel free to contact us online or call us at 416-513-1535.