Data Science Getting Started

This is just a list of online resources for getting started with Data Science. I only list resources that I have used, recommended by a lecture or where I have done a brief walk-trough to fill some knowledge gaps.

Courses for absolute beginners:

  1. Coursera: Data Science Specialization
  2. LinkedIn Learning: Data Science foundations
  3. Udemy: Complete Python Bootcamp: Go from zero to hero in Python 3
  4. Coursera: Python for Everybody Specialization
  5. Coursera: Applied Data Science with Python Specialization

Note: I am a bigger fan of Coursera when it comes to learning platforms for Data Science. Udemy is slightly more conceptual and there is no grading system and or projects.

E books for getting started:

  1. R for data science
  2. Introduction to R
  3. R Text mining for some cool data sets check this git repo here
  4. Data science from scratch: first principles with python
    1. You can find the code to the above book here
  5. Introduction to statistical learning

Getting Started Data Sets:

  1. Kaggle Titanic Data
  2. The MNIST Database
  3. UCI: Iris dataset
  4. UCI: Air quality
  5. UCI: Breast Cancer
  6. Kaggle: House Prices: Advanced Regression Techniques

Courses Intermediate:

  1. Coursera: Deep Learning AI specialization
  2. Fast.ai course

E books Intermediate:

  1. The elements of statistical learning more advanced
  2. Deep learning with R manning publications
  3. Deep learning with python manning publications

Most of these courses will introduce you to the Data Scientist toolbox, packages and tools etc. Certain things you will learn on an “as needed” basis once you know your interest. You will also need additional resources to go deeper into specialized fields like computer vision or language translation etc… The above should be more than adequate to get started.

” Logic will get you from A to B. Imagination will take you everywhere. “

Albert Einstein

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