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Comprehensive learning path – Data Science in Python No ratings yet.

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From Analytics Vidhya:

“So, you want to become a data scientist or may be you are already one and want to expand your tool repository. You have landed at the right place. The aim of this page is to provide a comprehensive learning path to people new to python for data analysis. This path provides a comprehensive overview of steps you need to learn to use Python for data analysis. If you already have some background, or don’t need all the components, feel free to adapt your own paths.”

This curriculum consists of the following steps:

  1. Setting up your Machine
  2. Learn the Basics of Python Language, using the DataCamp Intro to Python for Data Science course
  3. Learn Regular Expressions in Python
  4. Learn Scientific Libraries in Python – NumPy, SciPy, Matplotlib and Pandas
  5. Effective Data Visualization
  6. Learn Scikit-learn and Machine Learning
  7. Practice, Practice and Practice, explore Kaggle
  8. Deep Learning

Recommended Prerequisites: none specified

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