Data Science 101 - Predictive Analytics

The world is in the age of analytics becoming more data driven by the day. Scientific data analysis has become all - pervasive making it one of the fastest growing and most profoundly important fields in management. In this course we combine conceptual knowledge of machine learning with extensive experience of applying it to real-world data. You will develop skills in applying Python’s scikit-learn package to make predictions by leveraging the information hidden in numerical, textual and categorical data. The emphasis is on learning hands-on techniques to maximize the predictive performance of machine learning workflows. After building a solid foundation in the Python stack, we focus on the different types of feature sources for machine learning. Intermingled with the machine learning material are short discussions and exercises to consolidate what has been learnt