Data Advanced Learning Path - Transforming data into knowledge

The first learning path on “Data analytics” introduced the basics of the field. In this second learning path, we will dig much deeper into advanced data analytics. This broad term covers many activities that all revolve around the transformation of data into knowledge. In other world, analyzing raw data beyond common statistical analysis, and use it to establish a generic model that allows to make predictions, or classify new data or group similar data together (also known as data clustering). Advanced analytics is used in many fields, to optimize activities and processes, provide reliable forecasts or improve the understanding of the surrounding world. The boundary between advanced data analytics and data science is a blurred one; both fields share algorithms and approaches. But data science goes way beyond the methods that will be presented here, including very advanced data processing like neural networks, deep learning, Natural Language Processing… This second learning path will be much more technical and practical than the first one, and will include detailed description of some mathematical methods as well as tools to efficiently implement them.