by Angela Guess
Jessica Davis of InformationWeek has put together a list of ten big data books that can help boost your career in data science, business intelligence, or beyond. Her list begins with, “Python Machine Learning. Python is one of the top languages suggested for data scientists to learn, and it’s a skill that commands more money during salary negotiations. For any data scientist, aspiring data scientist, or developer looking to add this language to their skill set, Python Machine Learning could be essential reading. The book promises to help readers leverage Python’s open-source libraries for deep learning, data wrangling, and data visualization. It offers help with learning strategies and best practices for improving and optimizing machine learning systems and algorithms.”
She continues with, “Data Analytics Made Accessible. This book provides the reader with an overview of data analytics, so it could be a good book for a beginner wanting to learn more about the field or for managers who need a primer on the technologies and an understanding of how they all work. The book offers mini case studies at the beginning of each chapter and offers an overview of data mining techniques and platforms. It also provides a tutorial for the R statistical analysis platform.”
Davis adds, “Data Science For Business. This book is based on an MBA course at New York University, which is taught by one of the authors. It introduces the principles of data science and leads readers through the “data-analytics thinking” needed to get business value from collected data. Data mining techniques and using data for competitive advantage are among the topics covered.”
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