Showing results for "Resampling Methods A Practical Guide to Data Analysis German"
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Organizational Development Essentials You Always Wanted to Know
A Practical Guide to Change Management, Organizational Development, AI-Driven Insights, Data Analysis, and Sustainable Transformation
2026
EN
Organizational Development Essentials You Always Wanted to Know (2nd Edition) is a practical, accessible guide to building expertise in organizational development and change management. It combines core OD principles with modern practices, including AI-enabled insights, evolving workplace dynamics, and a focus on measurable impact.Key Features Include:Complete coverage of OD fundamentals, frameworks, and planned change models...
Demystifying Deep Language
A Practical Guide to Data Analysis with Retrieval-Augmented Generation
2024
EN
Demystifying Deep Language: A Programmer's Guide to RAG, LLMs, and LangChain in PythonThe world of Conversational AI is rapidly evolving, and at the forefront of this movement are Retrieval-Augmented Generation (RAG) systems, Large Language Models (LLMs), and LangChain. These powerful tools are transforming how we interact with machines, enabling them to understand natural language, retrieve relevant information, and generate informative responses.This comprehensive guide d...
Unlocking Insights
A Practical Guide to Data Analysis with Retrieval-Augmented Generation
2024
EN
About the TechnologyRetrieval-Augmented Generation (RAG) is a revolutionary approach to data analysis that combines information retrieval with cutting-edge text generation techniques. This powerful technology empowers you to extract deeper meaning from your data than ever before.Short SummaryStruggling to uncover hidden patterns and generate actionable insights from your data? This book is your guide to unlocking the potential of Retrieval-Augmented Generation (RAG)...
Data Analytics Essentials You Always Wanted To Know
A Practical Guide to Data Analysis Tools and Techniques, Big Data, and Real-World Application for Beginners
2024
EN
A Practical Guide to Data Analysis Tools and Techniques, Big Data, and Real-World Application for Beginners. From raw data to actionable insights - journey through the essentials of data analytics!Data analytics is becoming increasingly important in today's data-driven society, and so has the demand for data analysts. Data Analytics Essentials You Always Wanted to Know (Data Analytics Essentials) is a comprehensive yet succinct manual, perfect for you if you are ...
Data Science for Marketing Analytics
A practical guide to forming a killer marketing strategy through data analysis with Python
2021
EN
Turbocharge your marketing plans by making the leap from simple descriptive statistics in Excel to sophisticated predictive analytics with the Python programming languageKey FeaturesUse data analytics and machine learning in a sales and marketing contextGain insights from data to make better business decisionsBuild your experience and confidence with realistic hands-on practiceBook DescriptionUnleash the power of data to reac...
Data Analytics Using Splunk 9.x
A practical guide to implementing Splunk's features for performing data analysis at scale
2023
EN
Make the most of Splunk 9.x to build insightful reports and dashboards with a detailed walk-through of its extensive features and capabilitiesKey FeaturesBe well-versed with the Splunk 9. x architecture, installation, onboarding, and indexing data featuresCreate advanced visualizations using the Splunk search processing languageExplore advanced Splunk administration techniques, including clustering, data modeling, and container management
Hands-On SAS for Data Analysis
A practical guide to performing effective queries, data visualization, and reporting techniques
2019
EN
Leverage the full potential of SAS to get unique, actionable insights from your dataKey FeaturesBuild enterprise-class data solutions using SAS and become well-versed in SAS programmingWork with different data structures, and run SQL queries to manipulate your dataExplore essential concepts and techniques with practical examples to confidently pass the SAS certification examBook DescriptionSAS is one of the leading enterprise...
Building Data-Driven Applications with Danfo.js
A practical guide to data analysis and machine learning using JavaScript
2021
EN
Get hands-on with building data-driven applications using Danfo.js in combination with other data analysis tools and techniquesKey FeaturesBuild microservices to perform data transformation and ML model serving in JavaScriptExplore what Danfo.js is and how it helps with data analysis and data visualizationCombine Danfo.js and TensorFlow.js for machine learningBook DescriptionMost data analysts use Python and pandas for data p...
The Responsible AI Blueprint: Implementing NIST, the EU AI Act, and TEVV for Enterprise Scale
A practical guide to Data Lineage, Model Observability, and Risk Management in any industry.
2026
EN
Accessible
THE AI INTEGRITY MANUAL A Blueprint for NIST, the EU AI Act, and the Future of Trustworthy Autonomy The Wild West era of AI is over. The era of Accountability has arrived. As Artificial Intelligence transitions from an experimental sandbox to the central nervous system of the modern enterprise, the stakes have never been higher. With the full enforcement of the EU AI Act and the global adoption of the NIST AI Risk Management Framework, organizations face a critical turning point: evolve in...
- Narrated by
- Christopher Dane
Unabridged
2 hours 5 min
2026
EN
Turn scattered data into a strategic compass to reduce uncertainty and accelerate competitive business growth. Whether you are strategizing on your morning commute or preparing for a major boardroom pivot, this audio guide equips non-technical executives with the clarity to make bold decisions. Leave behind the endless dashboards and step into a highly focused, confident leadership mindset.Stop letting technical jargon dictate your company's future. By translating complex analytics...
Data Quality Management with AI
A practical guide to data quality management, governance, profiling, cleansing, and AI-ready data
2026
EN
Improve business decisions and AI outcomes by learning practical data quality management, from rules and profiling to cleansing, governance, and AI-assisted monitoring.Key FeaturesAssess datasets using accuracy, completeness, validity, uniqueness, timeliness, and consistencyBuild data quality rules, profiling checks, and cleansing workflows with ChatGPT and CopilotCreate governance-ready reports, dashboards, and monitoring plans for trusted dat...
Available Nov 30, 2026
2012
EN
A highly accessible alternative approach to basic statistics Praise for the First Edition: "Certainly one of the most impressive little paperback 200-page introductory statistics books that I will ever see . . . it would make a good nightstand book for every statistician."—TechnometricsWritten in a highly accessible style, Introduction to Statistics through Resampling Methods and R, Second Edition guides students in the understanding of descriptive statistics, estimation, hypothesi...











