2nd ed. — Packt Publishing, 2016. — 338 p. — ISBN: 1785289713, 9781785289712 Key FeaturesLearn to use various data analysis tools and algorithms to classify, cluster, visualize, simulate, and forecast your dataApply Machine Learning algorithms to different kinds of data such as social networks, time series, and imagesA hands-on guide to understanding the nature of data and how...
O’Reilly, 2019. — 337 p. — ISBN: 1492031089. Effective visualization is the best way to communicate information from the increasingly large and complex datasets in 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 and...
Kenneth M Fornari, 2022. — 216 p. Are you struggling with turning data into insights? Always relying on the faithful pie chart? If you want to learn 40+ different ways to visualize data and how to design them for success, this is the book for you. Data is the new oil. Data is essential for companies to predict trends, identify opportunities and be two steps ahead of the...
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...
Orange Education Pvt Ltd, AVA, 2024. — 354 p. — ISBN 978-81-97081-89-7. Расширенная аналитика данных с помощью AWS: изучите концепции анализа данных в облаке, чтобы получить ценную информацию и построить надежные рабочие процессы обработки данных с использованием различных источников данных Master the Fundamentals of Data Analytics at Scale. Preface Our world is awash in data,...
BPB Publications, 2023. — 350 р. — ASIN: B0CBMNZV3B. Transforming data into actionable insights using Python. Description: Python is a popular programming language for data visualization due to its rich ecosystem of libraries and tools. If you're interested in delving into data visualization in Python, this book is an excellent resource to begin your journey. With Matplotlib,...
AI Publishing LLC, 2020. — 280 p. — ISBN 9781733042680. Are you looking for a hands-on approach to learn Python for Data Visualization Fast? Do you need to start learning Python for Data Visualization from Scratch? This book is for you. This book works as a guide to present fundamental Python Libraries and a basis related to Data Visualization using Python. Data science and...
Independently published, 2021. — 273 p. Have you ever wondered how you can work with large volumes of data sets? Do you ever think about how you can use these data sets to identify hidden patterns and make an informed decision? Do you know where you can collect this information? Have you ever questioned what you can do with incomplete or incorrect data sets? If you said yes to...
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...
O’Reilly Media, Inc., 2021. — 81 p. — ISBN: 978-1492085980, ISBN: 978-1492086000 (ebook). 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....
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...
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,...
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...
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: 1789135400. 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 plots and...
Packt Publishing, 2013. — 252 p. — ISBN: 1849694362. There’s a lot of data in our world, and visual representations are often the best method of making sense of it all. Yet, it should not take an army of programmers and analysts to create visualizations in order to make data useful. The Google Visualization API is accessible to novice and advanced programmers alike, making data...
O’Reilly, 2018. - 200p. - ISBN: 1492031852 While tools for analyzing streaming and real-time data are gaining adoption, the ability to visualize these data types has yet to catch up. Dashboards are good at conveying daily or weekly data trends at a glance, though capturing snapshots when data is transforming from moment to moment is more difficult”but not impossible. With this...
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, Inc., 2021. — 480 p. — ISBN 9781492086000. 2021-03-11: First Release 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....
Orange Education Pvt Ltd, AVA, 2025. — 460 p. Ultimate AWS Data Engineering: проектируйте, внедряйте и оптимизируйте масштабируемые решения для обработки данных на AWS с помощью практических рабочих процессов и наглядных пособий для непревзойденного эффекта Unlock the Power of AWS Data Engineering and Build Smarter Pipelines for Data-Driven Success. Book Description In today’s...
O’Reilly Media, Inc., 2021. — 359 p. — ISBN 978-1-492-08878-3. 2021-09-09: First Release With the explosion of data, computing power, and cloud data warehouses, SQL has become an even more indispensable tool for the savvy analyst or data scientist. This practical book reveals new and hidden ways to improve your SQL skills, solve problems, and make the most of SQL as part of...
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...
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),...
Springer Cham, 2022. — 347 p. — ISBN 978-3-030-76267-4. This book develops survey data analysis tools in Python, to create and analyze cross-tab tables and data visuals, weight data, perform hypothesis tests, and handle special survey questions such as Check-all-that-Apply. In addition, the basics of Bayesian data analysis and its Python implementation are presented. Since...
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...
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 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...
Apress, 2023. — 188 p. 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 (autoregressive), MA (moving-average), ARMA...
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...
Springer, 2023. — 403 p. — ISBN 978-3-031-34738-2. This book designates Visualization Psychology as an interdisciplinary subject. The book contains literature reviews and experimental works that exemplify a range of open questions at this critical intersection. It also includes discourses that envision how the subject may be developed in the coming years and decades.The field...
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...
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...
Packt, 2020. — 575 p. — ISBN: 9781839211386. Learn how to analyze data using Python models with the help of real-world use cases and guidance from industry experts Key Features Get to grips with data analysis by studying use cases from different fields Develop your critical thinking skills by following tried-and-true data analysis Learn how to use conclusions from data analyses...
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...
O’Reilly Media, 2016. — 65 p. — ISBN: 978-1-491-92840-0. You have a mound of data sitting in front of you and a suite of computation tools at your disposal. And yet, you’re stumped as to how to turn that data into insight. Which part of that data actually matters, and where is this insight hidden? If you’re a data scientist who struggles to navigate the murky space between data...
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...
2nd edition. — Packt Publishing, 2021. — 637 p. — ISBN 978-1-80056-047-5. Turbocharge your marketing plans by making the leap from simple descriptive statistics in Excel to sophisticated predictive analytics with the Python programming language Key Features Use data analytics and machine learning in a sales and marketing context Gain insights from data to make better business...
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...
Packt, 2022. — 392 p. — ISBN 1803232064, 9781803232065. Perform time series analysis using KNIME Analytics Platform, covering both statistical methods and machine learning-based methods Key Features Gain a solid understanding of time series analysis and its applications using KNIME Learn how to apply popular statistical and machine learning time series analysis techniques...
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