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9781398612341

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"""Value-packed on every page. Everything you need to break into data science is covered. Nelson also offers various technical examples through code to ensure every concept is thoroughly understood. I Highly recommend this book to both data science beginners and seasoned practitioners."" -- Derrick Mwiti, Machine Learning Developer ""This book has it all! From the history of data science to practical examples for how to grow your data career. I wish I had this book when I was starting out. It's a must-read for anyone trying to break into data science."" -- Asa Howard, data analyst and educator ""A work of immense practicality and intellect, which serves as both an extensive guide for novices and a valuable reference for seasoned practitioners."" -- Stuart Flint, Chief Data Scientist, Yomp and Cloudify Legal"

"""Value-packed on every page. Everything you need to break into data science is covered. Nelson also offers various technical examples through code to ensure every concept is thoroughly understood. I Highly recommend this book to both data science beginners and seasoned practitioners."" -- Derrick Mwiti, Machine Learning Developer ""This book has it all! From the history of data science to practical examples for how to grow your data career. I wish I had this book when I was starting out. It's a must-read for anyone trying to break into data science."" -- Asa Howard, data analyst and educator ""A work of immense practicality and intellect, which serves as both an extensive guide for novices and a valuable reference for seasoned practitioners."" -- Stuart Flint, Chief Data Scientist, Yomp and Cloudify Legal ""Provides a clear, vibrant guide to all things data. This book engages the reader in a comprehensive exploration of data science. Nelson approaches the topic with humility, clearly sketching both the possibilities and limits of data science."" -- Julie F. Mead, Professor Emerita, University of Wisconsin-Madison"

Author Information

Adam Ross Nelson is a data science consultant and career coach based in Washington D.C. As a consultant, he provides insights on data science, machine learning and data governance. He previously worked as a data scientist at The Common Application. Having transitioned into the data science field from his career as an attorney, he offers workshops, talks and online courses for those looking to develop their data science skills, pivot their career or improve their career trajectory.

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