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Smart Professional Data Science

Smart Professional Data Science

Data Science is all about applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with organisation’s products. The responsibilities of a data scientist include data extraction and cleaning, use statistical methods to analyse data, present data using tools like Tableau, and build predictive models using algorithms.


Smart Professional Data Science

What you learn?
Smart Professional Data Science


With this course, you will learn the most in-demand technologies like Data Science on R, Python, SMAC, Big Data on Hadoop and implement the concepts such as data exploration, regression model, Hadoop, etc.

  • Term 1

    • Financial data analysis with MS Excel
    • Python programming
    • Emerging job areas-SMAC
    • Large data management
    • R programming
    • eProject (R)

         Term 2

  • Foundation of Big Data systems
  • Processing Big Data [Hadoop-MapReduce, Hive, PigLatin]
  • Visual analytics with Tableau
  • Web & social media analytics (Google Analytics & SAS)
  • Project-Big Data
  • Undergraduates/ graduates/ working professionals/ engineers

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