Definition – Big Data and Data Science – Facets of data – big data ecosystem and data science- Data Science Ethics – Doing good data science – Owners of the data – Valuing different aspects of privacy

Overview- research goals – retrieving data – cleaning, integrating and transforming data-exploratory data analysis – build models – present finds

Machine learning – Modeling Process – Training model – Validating model – Predicting new observations –Supervised learning algorithms – Unsupervised learnidng algorithms

Introduction – Deep Feedforward Networks – Regularization – Optimization of Deep Learning – Convolutional Networks – Recurrent and Recursive Nets – Applications of Deep Learning

Introduction to data visualization – Data visualization options – Filters – MapReduce – Dashboard development tools – Creating an interactive dashboard with dc.js-dashboard development tools