/Data-Science-with-Python

Data Science in Python is fun to learn and pleasure to do. List of files which are focused on practicing Data Science libraries with Python.

Primary LanguageJupyter Notebook

Getting Started with Data Science using Python

Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from many structural and unstructured data.

Contents

  • Data Analysis
  • Data Visualizations

Libraries Used

  • NumPy Library of high-level mathematical functions to operate on large, multidimensional arrays and matrices.
  • Pandas Pandas is an open source, BSD-licensed library providing high performance, easy-to-use data structures and data analysis tools.
  • Matplotlib Plotting library for the Python programming language and its numerical mathematics extension NumPy
  • Seaborn Seaborn is a Python data visualization library based on matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics.