Big data recently becomes a popular interest, bringing the tremendous impact on the inside and outside of enterprises. There is no buzz word like big data, which is such popular after another buzz work, cloud computing. As is implied by its name, big data is data which is exceeding the processing capacity of traditional database systems. Among these data, we are able to employ data (business) analytics to discover unknown correlation, hidden patterns, and market trend. The origin of data is not only coming from the structured database of firms, but can be from unstructured data or outside datasets. Therefore, the way of data collection is not just from enterprises themselves, but can be from social network platforms, sensors of Internet of Things, and open data of governments. The term, big data, is probably originating from Silicon Graphics Inc. in 1998, in which John Mashey mentioned prominently. In 2010, big data received tremendous attention from managers and researchers, and the column of the New York Times in 2012, titled the age of big data, proclaimed the coming of the big data era. In this course, I will teach students who are interesting on understanding the big data from the analysis (technique) and management perspectives. They will not only learn how to analyze the data with the data mining algorithms and statistic approaches, but how to analyze the data significance from the business need.