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Foundation in Data Science

A solid foundation in data science is essential, encompassing proficiency in Python programming for data manipulation, MongoDB for database management, R programming for statistical analysis, and financial data analysis using MS Excel.

Learning Outcomes

  • Work with spreadsheets and analyze data using MS Excel
  • Learn the basics of social media, mobile technology, analytics, and cloud computing along with an understanding of their interconnectivity
  • Learn the basic concepts of object-oriented programming
  • Learn how to program with the popular development language, Python
  • Build Web applications using Python
  • Learn MongoDB concepts, features, architecture and data model, and how to install, configure and monitor open-source databases
  • Master data exploration, data visualization, predictive analytics and descriptive analytics techniques with the R language
  • Develop a real-world application using R language

Course Breakdown

ModuleDuration
(Hrs)
Financial Data Analysis with MS Excel16
Financial Data Analysis with MS Excel08
OOP Concepts16
Python Programming40
Web Application Development using Python40
Large Data Management (MongoDB)40
R Programming 40
Project (R) 02
Total202

Course Details

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