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Do your product dashboards look funky? Are your quarterly reports stale? Is the dataset you're using broken or just plain wrong? These problems affect almost every team, yet... Læs mere
The book is intended for practitioners in data science and data analytics in both academic and business environments. It aims to present the reader with concepts in data science and analytics that were deemed to be more advanced or simply out of scope in the author's first book.
This open access book presents the foundations of the Big Data research and innovation ecosystem and the associated enablers that facilitate delivering value from data for business and society.
This book gathers a collection of high-quality peer-reviewed research papers presented at the International... Læs mere
This book teaches basic techniques for produce visualizations of tables, time series, maps, text, and... Læs mere
This book teaches basic techniques for produce visualizations of tables, time series, maps, text, and... Læs mere
This text explores a diverse set of data science topics through a mathematical lens, helping mathematicians become acquainted with data science in... Læs mere
This hands-on guide shows data engineers and data scientists how to implement an end-to-end data pipeline with cloud native tools on GCP. Throughout this updated second edition, you'll work through a sample business decision by employing a variety of data science approaches.
The author explains the internal logic embodied in the Python language so that readers can get into the Python mindset and make better design choices in their codes, which is especially helpful for newcomers to both Python and data analysis.
This concise course in principled data analysis for the mathematically literate uses survey sampling and designed experiments as a... Læs mere