Springer Nature, 2023. — 327 р. — 978-3-031-45630-5. This book is about data analytics, including problem definition, data preparation, and data analysis. A variety of techniques (e.g., regression, logistic regression, cluster analysis, neural nets, decision trees, and others) are covered with conceptual background as well as demonstrations of KNIME using each tool. The book...
Manning Publications, 2025. — 472 p. — ISBN-13: 978-1633437531. Complete eight data science projects that lock in important real-world skills—along with a practical process you can use to learn any new technique quickly and efficiently. Data analysts need to be problem solvers—and The Well-Grounded Data Analyst will teach you how to solve the most common problems you'll face in...
O’Reilly Media, 2021. — 334 p. — ISBN 978-1-492-06137-3 Harness the full power of the behavioral data in your company by learning tools specifically designed for behavioral data analysis. Common data science algorithms and predictive analytics tools treat customer behavioral data, such as clicks on a website or purchases in a supermarket, the same as any other data. Instead,...
John Wiley & Sons, 2024. — 576 p. — ISBN 978-1-394-28948-6. Communicate the data that is powering our changing world with this essential text The advent of machine learning and neural networks in recent years, along with other technologies under the broader umbrella of ‘artificial intelligence,’ has produced an explosion in Data Science research and applications. Data...
2nd Edition. — O’Reilly Media, 2023. — 566 p. — ISBN 978-1098111878. How do you turn raw, unprocessed, or malformed data into dynamic, interactive web visualizations? In this practical book, author Kyran Dale shows data scientists and analysts–as well as Python and JavaScript developers–how to create the ideal toolchain for the job. By providing engaging examples and stressing...
Packt Publishing Limited, July 2020. — 536 p. — ISBN: 978-1-80056-884-6. Explore a modern approach to visualizing data with Python and transform large real-world datasets into expressive visual graphics using this beginner-friendly workshop Do you want to transform data into captivating images? Do you want to make it easy for your audience to process and understand the...
O’Reilly, 2021. — 480 p. — ISBN 9781492086000. Tell your story and show it with data, using free and easy-to-learn tools on the web. This introductory book teaches you how to design interactive charts and customized maps for your website, beginning with simple drag-and-drop tools such as Google Sheets, Datawrapper, and Tableau Public. You'll also gradually learn how to edit...
O’Reilly Media, Inc., 2021. — 480 p. — ISBN 978-1-492-08600-0. Tell your story and show it with data, using free and easy-to-learn tools on the web. This introductory book teaches you how to design interactive charts and customized maps for your website, beginning with simple drag-and-drop tools such as Google Sheets, Datawrapper, and Tableau Public. You'll also gradually learn...
O’Reilly, 2018. — 158 p. — ISBN: 978-1-491-92846-2. You have a mound of data front of you and a suite of computation tools at your disposal. Which parts of the data actually matter? Where is the insight hiding? If you’re a data scientist trying to navigate the murky space between data and insight, this practical book shows you how to make sense of your data through high-level...
2nd Edition. — Mercury Learning & Information, 2020. — 181 p. — ISBN: 978-1-68392-592-7. This laboratory manual is intended for business analysts who wish to increase their skills in the use of data analysis to support business decisions. Most of the case studies use Excel, today’s most common analysis tool. They range from the most basic descriptive analytical techniques to...
Princeton University Press, 2018. — 296 p. — (The MIT Press). — ISBN: 0691181624, 978-0691181622. An accessible primer on how to create effective graphics from data This book provides students and researchers a hands-on introduction to the principles and practice of data visualization. It explains what makes some graphs succeed while others fail, how to make high-quality...
Packt Publishing, 2018. — 174 p. — ISBN: 978-1-78913-540-4. Learn how to create interactive and visually aesthetic plots using the Bokeh package in Python Key Features A step by step approach to creating interactive plots with Bokeh Go from nstallation all the way to deploying your very own Bokeh application Work with a real time datasets to practice and create your very own...
Apress Media LLC., 2024. — 188 p. — ISBN-13: 979-8-8688-0119-8. This book covers the key principles, best practices, and practical techniques for designing and implementing visually compelling dashboards. It explores the various stages of the dashboard development process, from understanding user needs and defining goals, to selecting appropriate visual encodings, designing...
Apress Media, LLC., 2023. — 188 p. — ISBN-13: 978-1-4842-8978-5. This book teaches the practical implementation of various concepts for time series analysis and modeling with Python through problem-solution-style recipes, starting with data reading and preprocessing. It begins with the fundamentals of time series forecasting using statistical modeling methods like AR...
Mercury Learning and Information, 2024. — 194 p. — ISBN-13: 978-1-68392-651-1. In the digital age, data is the new currency. However, amassing heaps of data means nothing if it doesn't lead to actionable insights. It's not enough to just present numbers; to truly resonate with an audience, data needs a narrative. Data Storytelling and Translation bridges the chasm between...
O’Reilly Media, Inc., 2021. — 632 p. — ISBN 9781492094340. Data analytics may seem daunting, but if you're an experienced Excel user, you have a unique head start. With this hands-on guide, intermediate Excel users will gain a solid understanding of analytics and the data stack. By the time you complete this book, you'll be able to conduct exploratory data analysis and...
Packt Publishing, 2020. — 470 p. — ISBN: 978-1-78953-725-3. Discover techniques to summarize the characteristics of your data using PyPlot, NumPy, SciPy, and Pandas Exploratory Data Analysis (EDA) is an approach to data analysis that involves the application of diverse techniques to gain maximum insights into a dataset. This book is designed to help you gain practical knowledge...
2nd Edition. — Apress Media LLC, 2022. — 268 p. — ISBN-13 978-1-4842-8005-8. Understand advanced data analytics concepts such as time series and principal component analysis with ETL, supervised learning, and PySpark using Python. This book covers architectural patterns in data analytics, text and image classification, optimization techniques, natural language processing (NLP),...
O’Reilly Media, 2020. — 525 p. — ISBN: 978-1-492-04165-8. Time series data analysis is increasingly important due to the massive production of such data through the internet of things, the digitalization of healthcare, and the rise of smart cities. As continuous monitoring and data collection become more common, the need for competent time series analysis with both statistical and...
The MIT Press, 2024. — 296 p. — ISBN-13: 978-0262377089. An ambitious vision for design based on the premise that data is material, not abstract. Data analysis and visualization are crucial tools in today’s society, and digital representations have steadily become the default. Yet, more and more often, we find that citizen scientists, environmental activists, and forensic...
Manning Publications Co., 2022. — 458 p. — ISBN: 978-1617299889. Build predictive models from time-based patterns in your data. Master statistical models including new deep learning approaches for time series forecasting. Time Series Forecasting in Python teaches you to build powerful predictive models from time-based data. Every model you create is relevant, useful, and easy...
BCS Learning & Development Ltd, 2019. — 202 p. — EPUB ISBN: 978-1-780174-34-1. Data is constantly increasing and data analysts are in higher demand than ever. This book is an essential guide to the role of data analyst. Aspiring data analysts will discover what data analysts do all day, what skills they will need for the role, and what regulations they will be required to...
BPB Publications, 2022. — 454 р. — ISBN 978-93-5551-102-7. How to Make Web Visualizations with D3js Key Features Includes narrative tools to master data visualization methods, charts, templates, and D3. Essential strategies for creating intelligent visualizations and modern graphs beyond simple lines, bars, and pie charts. Provides the opportunity for readers to create the...
Packt Publishing, 2018. — 184 p. — ISBN B089GQM3QD. Integrate open source data analytics and build business intelligence on SQL databases with Apache Superset. The quick, intuitive nature for data visualization in a web application makes it easy for creating interactive dashboards. Key Features Work with Apache Superset's rich set of data visualizations Create interactive...
O’Reilly, 2019. — 337 p. — ISBN: 978-1-492-03108-6. Effective visualization is the best way to communicate information from the increasingly large and complex datasets in the natural and social sciences. But with the increasing power of visualization software today, scientists, engineers, and business analysts often have to navigate a bewildering array of visualization choices...
Independently published, 2021. — 232 p. — ASIN B091FSTHR7. Data visualization will be an essential skill for the future. In a world driven by data, the ability to extract insights from data and present them visually can often be your competitive edge. The problem is, how do you learn it without much coding knowledge? If you try to learn Data Visualization online, you'll find...
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