It gives a good synopsis of data science but I wished it explained the topics for a wider audience. Overall a good read if you are already in this field

Winning with Data Science is an extremely useful primer on data analysis and the world of data science. It was a very accessible book which took a story telling perspective to explain concepts. I really enjoyed learning through the eyes of a finance and healthcare manager how they structure and use data science to answer questions step by step. As a manager of the first data scientist on my team, the book has given me the introduction and understanding on how to communicate better. I plan to buy copies for other team members as well.

I'm going to need to read this at least one more time. So much information! So many ideas!
This book was so great because, instead of just listing out information, there are pretend scenarios where you can see how people really work with data, including possible dangers of sharing information and other potential problems. I highly recommend this for people working in data science and/or business to learn how to apply these concepts.
Thanks to NetGalley for letting me read this ARC

Last years of school or first year university primer on how to use data. Contacts useful basic information on aspects data specific and more broadly such as project management. Thank you to #netgalley and the publisher for a DRC.

Data science can be overwhelming. This book breaks it down to a level of understanding of leaders to adapt to it.

As an aspiring Data Scientist, this book is truly a gem! Throughout the book, the authors artfully present case studies and examples, elucidating how data science can be wielded as a powerful tool to drive business growth and gain a competitive edge. Their insights into data analysis, machine learning, and predictive modeling were particularly insightful, providing actionable strategies for leveraging data to make informed business decisions.

My team knows I’m not the person for any sort of math. But I really want to understand enough about data, algorithms, and statistics to be able to generate a vision for future products.

To that end, Winning with Data Science is a succinct overview of how product managers and other business people can wrap their heads around conceptualizing how big data and artificial intelligence can solve business problems. It covers the roles and expertise necessary on a data science team. You’ll learn about sourcing and processing data to get it ready for deeper analysis.

My favorite chapter was when a team of pretend data scientists held a “hackathon” to determine what other methods they might use to solve a business problem introduced earlier in the book. It was a fun way to learn (and keep straight in my head!) the different methodologies and why each produced better or more lackluster results.

The chapter on project management was my least favorite and could be left out. Anyone who’s reading this book likely already knows how project management happens - there isn’t anything added here that is specific to the data science activities.

An interesting and broach insight to data science from a project and data governance perspective, an area of professional interest for me. It provided practical observations on engaging and working with data science teams to provide business driver insights and deliver real value to business areas. Well written with clear examples. Thanks to NetGalley and the publisher for the ARC.