Resources

Here I will keep a list of all youtube videos, online courses, books, and websites that have been helpful to me in my Data Science Journey. When I have some spare time I will try to summarize my learnings of each resource in a seperate blog.

Resources I have finished:

• How to set up my own blog (youtube video): This is the youtube video I followed to set up my own blog, shout out to DataOptimal for making a clear introduction on this.
• Extensive pandas tutorial (youtube video): This is a recording of the best pandas tutorial by Brandon Rhodes. On my github page there is a repository with all the data used in the video. I suggest you watch the video, make the exercises, and continue on to the next section. Later I will create a short blog to summarize what I’ve learnt from the video on a different dataset.
• Machine learning online course (coursera): This online course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Andrew Ng is an excellent instructor who teaches the fundaments of machine learning algorithms with Octave. Although I was hesitant at first using Octave, it was relatively easy to learn. Arguably the best online course on machine learning.
• Learn Python - Full Course for Beginners (youtube video): “This course will give you a full introduction on all of the core concepts in python. Follow along with the videos and you’ll be a python programmer in no time!” Honestly, very clear explanation of Python concepts. If you’re starting your data science journey, definitely start with this one. Thanks freeCodeCamp.org, you’re the best.

Resources I have yet to start with:

• Extensive scikit tutorial (youtube video): This is a recording of a scikit tutorial by Jake Vanderplas.
• Introduction to Python for Data Science (edx): Suggested by Siraj Raval, this courses teaches the basics of numpy/matplotlib/pandas, the fundamental packages for data science. An overview of learnings from this course will probably be my first blog post (next to this one…).