| Offer an overview of the key techniques and technologies in big data analytics and how data science is different from related fields such as engineering, computer science and statistics. Through a combination of lectures and hands on exercises using Hadoop, R, MongoDB and D3 visualization tools the students will be able to explore, clean, refine, analyze and visualize geospatial, streaming, unstructured and structured types of big data. Students will explore real-world scenarios through a case study which will allow them to develop an analytical workflow for data driven discovery. |
