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Data Science Resources: Data Tools/Software

Table of Contents


Python libraries for data science:

  • NumPy - the fundamental package for scientific computing with Python.
  • SciPy SciPy (pronounced “Sigh Pie”) is a Python-based ecosystem of open-source software for mathematics, science, and engineering.
  • Pandasan open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language.
  • Matplotlib - You can generate plots, histograms, power spectra, bar charts, errorcharts, scatterplots, etc., with just a few lines of code. 

Statistical Analysis Tools

R Studio          Access: Open Source (free)
SAS          Access: Licensed (free at NJIT)
SPSS          Access: Licensed (free at NJIT)
   MATLAB             Access: Licensed (free at NJIT)         


Access: Licensed (free at NJIT)

Data Visualization

or Licensed       

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