Hi ,
You don't need to know how to build a computer to buy a new laptop. However, it helps if you know enough about processors and RAM to have an effective conversation with a computer store sales assistant.
Without this knowledge, you put yourself at risk of wasting your money on a laptop that doesn't meet your needs.
Similarly, non-data scientists working in a corporate environment don't need to know how to train a convolutional neural network to be able to create value from data science. However, they do need to understand enough
about data science and its applications to be able to speak the language of data professionals and ask the right questions.
In their recently released book, Winning with Data Science, Howard Friedman and Akshay Swaminathan provide business leaders with the knowledge needed to do just that.
Written using a highly accessible narrative approach, Winning with Data Science follows the lives of two business professionals, Kamala and Steven, as they learn how to collaborate with data scientists and derive the maximum value from their expertise.
For business leaders, who might never previously have worked with a data
science team, Winning with Data Science provides the rare opportunity to "observe" what it's like inside an organisation where data science is being done "right".
While for data scientists, who may already understand all the theoretical aspects of the book, it offers the chance to put yourself in the shoes of a business leader and understand what they are looking for when
making use of data science.
Winning with Data Science is one of the best data science books I have ever come across, and at around 250 easy-to-read pages, is one of the fastest ways for both business leaders and data scientists to learn what it takes to make themselves look good in front of the boss.
