First, Dinu helps students internalize the data science "mindset": that virtually anything can be quantified, and once they have data, they can harvest amazing insights through statistical analysis and machine learning. He illuminates data science as it really is: a holistic, interdisciplinary process that encompasses the collection, processing, and communication of data: all that data scientists do, say, and believe.

With this foundation in place, he teaches core data science skills through hands-on Python and SQL-based exercises integrated with a full book-length case study. Step by step, students will learn how to leverage algorithmic thinking and the power of code, gain intuition about the power and limitations of current machine learning methods, and effectively apply them to real business problems.