Data Science Tutorial #1: Introduction to Basic Concepts

In this tutorial, I have discussed the basics of data science and basic processes involved in it. Data science is all about knowing the patterns that are usually not visible. By programming to find out those patterns, you will not get good results. It starts with simple input followed by pre-processing methods. These are data cleaning, data normalization and many other methods that are implemented wrt to the type of input. This processed data is passed to machine learning algorithm, where the algorithm will produce set of rules validating the training set.