Data Science Master

Course Syllabus

  • Programming in Data Science using R
  • Statistical Techniques in R Programming
  • Exploratory Data Analysis in R Programming
  • Machine Learning introduction in R Programming
  • Data Visualization in R Programming
  • Relational Database Management Systems in MySQL
  • NoSQL Databases Introduction, 4 Types of NoSQL DBs
  • Basics to Advanced MongoDB
    • Large Data Handling in MongoDB
    • Distributed Processing & Querying in MongoDB
    • Replicaset(Clustering) & Sharding
    • Location Based Services Using MongoDB
    • MongoDB Integration with R & Python
  • Python Programming
    • Python Basics
    • Functional Programming in Python
    • Statistical Processing
    • Data Import and Export, Transformations, Loading, Preparation
    • Data Distribution & Analysis, Data Preparation for Machine Learning
    • Machine Learning
    • Data Visualization
  • Mini Project
  • Scala Programming
  • Bigdata
    • Hadoop
    • Spark
  • Data Visualization using Tableau and QlikView
  • Integration Model for SQl, NoSQL, Data Warehouse, Semi Structured & Unstrctured data with Bigdata
  • Final Project with Realtime data
  • Conclusion
  • Profile Building, Interview Tips & Companies to Target
  • Mock Interview
  • Internship Placement
  • Job Placement, Adding to Alumni Portal, Subscription to Industry updates
  • SignOff & Certification

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