A super compressed course with real life demos to get students started on the data science journey. This course is meant for people who are not familiar with coding at all, and are looking for quick turnaround on learning data science and/or machine learning, artificial intelligence. Interested students should understand that the goal of this course is to do real life demo, not to learn theoretical concepts.

We start off by setting up the environment in which a student will start running notebooks with data science code. Setting up the environment is the most crucial base on which we will build our framework for doing data work.

We move on to reading and comparing multiple python notebooks written on the same data, and running both of them. The trick to learning anything in code is to realise that all code is just English written in a structural fashion, and reading and running code is super important to start in data science.

Last, but not the least, we pick up 1 random topic for exploration and go about implementing that topic in our running notebook, as well as modify the topic to integrate with the data that we are currently working on.