Data Science Fundamentals

Source: Deep Learning on Medium

Data Science Fundamentals

Get ready for the journey of a lifetime that will have you see the everyday through a new lens. As the study that leads into all things pertinent to humans in present, this path is a must for all who have even the slightest interest in this field.

This learning path currently consists of notes that introduces you to Data Science from a practitioner point of view, to courses that discuss topics such as data compilation, preparation and modeling throughout the life-cycle of data science from basic concepts and methodologies to advanced algorithms. It also discusses how to get some practical knowledge with open source tools.

  1. Introduction to Data Science
    Data Science is the hottest field of the century. Learn more about why data science, artificial intelligence (AI) and machine learning are revolutionizing the way people do business and research around the world. In this, we will get an overview of what data science is today.
  2. Data Science Tools
    Learn and try out the most popular data science tools like Jupyter Notebooks, R Studio IDE, Apache Zeppelin, IBM Watson Studio, and more. Tools are available to use directly on the cloud.
  3. Data Science Methodology|
    get in line with emerging data science methodologies that are in use and are making waves or rather predicting and determining which wave is coming and which one has just passed.

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