Data Analytics for Dummies (12 results)

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Condition: New. Print on Demand.

Condition: New. Print on Demand.

Condition: New. Print on Demand.

Taschenbuch. Condition: Neu. Neuware.

Taschenbuch. Condition: Neu. Neuware.

Taschenbuch. Condition: Neu. Neuware.

Paperback. Condition: new. Paperback. Move Beyond "Hello World" Tutorials. Stop Hallucinations, Fix Wrong Retrieval, and Build Production-Grade AI Systems That Don't Break at Scale.Have you ever followed a basic AI tutorial, watched a naive Retrieval-Augmented Generation (RAG) system work flawlessly on ten sample documents, and shipped it to production with absolute confidence-only to watch it completely fall apart three weeks later under the weight of ten thousand real-world files?When retrieval fails, answers hallucinate, and users get frustrated, most developers immediately blame the Large Language Model. But the brutal truth is that 90% of RAG failures are retrieval failures, not generation failures. The LLM cannot synthesize a correct answer if you feed it the wrong context.In RAG with LangChain & Agentic AI: LangChain Explained So Simply a 5-Year-Old Could Build An Autonomous AI Agent, software engineer and AI systems architect John Cutts delivers the definitive 2026 operational playbook for transitioning from fragile prototypes to resilient, enterprise-grade AI infrastructure. This book completely eliminates the "chunk-and-pray" methodology and replaces it with deterministic, self-correcting engineering patterns.What You Will Master Inside This Complete Playbook: The Core RAG Architecture: Master the three pillars-Indexing, Retrieval, and Generation-using Python, LangChain, and ChromaDB to separate knowledge from frozen LLM reasoning data.The Art of Chunking: Learn why chunking is architecture, not pre-processing. Navigate the chunking decision framework to deploy Fixed, Recursive, and Semantic splitters that preserve critical data context.The 5 Production Failure Modes: Acquire a practical debugging playbook to diagnose bad chunking, poor prompt engineering, wrong embedding models, insufficient context ($k$ too small), and separate retrieval testing layers.Anthropic's Contextual Retrieval: Implement cutting-edge chunk enrichment strategies that reduce retrieval failures by up to 67% by combining LLM-generated context with cross-encoder reranking.Agentic RAG with LangGraph: Replace static pipelines with stateful, self-correcting autonomous decision-making loops that grade documents, rewrite failing queries, and execute graceful fallbacks.Graph RAG & Multi-Hop Reasoning: Transcend standard vector search boundaries using Microsoft's GraphRAG framework to extract complex networks of entities and relationships for multi-document insights.Multimodal RAG with ColPali: Stop stripping out critical corporate assets. Use vision-language models to embed page layouts, charts, schematics, and complex tables directly as visual images.The Production Runbook: Gain complete system observability using LangSmith tracing, deploy massive cost-management tactics (saving up to 25x vs long-context windows), and structure hybrid text-vision pipelines."The gap between 'it works in the demo' and 'it works in production' is exactly as wide as the gap between naive RAG and the system you have learned to build in this book." - John CuttsWhether you are a software engineer, data scientist, or technical builder, this book skips the theoretical fluff and delivers raw, working code derived from hard-won production experience. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condition: new. Paperback. Have you ever stared blankly at a cloud console, terrified of accidentally racking up a massive, unexpected multi-thousand-dollar weekend bill? Or maybe you've been told that before you can touch modern cloud infrastructure or understand why a container fails, you need to spend twelve months and thousands of dollars collecting an alphabet soup of certifications like A+, Network+, and CCNA.In IT Fundamentals for Beginners: The Lazy Person's Guide to Hardware, Cloud, DevOps, Networking, Security, Databases, DNS, Git and Linux, author John Cutts strips away the dry reference manuals, the dense acronym overload, and the rigid academic tracks. This definitive 2026 primer provides a fast, highly practical mental map of how modern technology actually works, written specifically for developers, data analysts, and career-changers who need to get functional quickly without getting lost in the weeds.What You Will Master Inside This Guide: The Physical Stage: Understand the 5 core hardware components (CPU, RAM, SSDs, NICs, and GPUs) and see exactly how they interact to process software instructions in fractions of a second.Virtualization & The Cloud: Shift from physical, underutilized bare-metal servers to hypervisors and Virtual Machines (VMs). Master the real-world economics of cloud computing and the foundational differences between IaaS, PaaS, and SaaS.Networking & IP Addressing: Demystify how data moves across LANs and WANs using routers, switches, and VLANs. Learn to confidently read IPv4 addresses, subnet masks, and CIDR notation.Cloud Security Layers: Stop guessing at firewall rules. Master the exact mechanics of stateful instance-level Security Groups and stateless subnet-level Network ACLs (NACLs).The Internet's Phone Book (DNS): Trace the millisecond-level recursive lookup process, decode record types like A, CNAME, MX, and TXT, and use essential diagnostic commands like nslookup and dig.Databases, Monitoring, & Logging: Compare relational SQL structures with flexible NoSQL databases. Learn to interpret structured JSON logs and set up the critical automated billing alerts that protect your budget.Modern Delivery (DevOps, SRE, & Platform Engineering): Step into modern software deployment with CI/CD pipelines, Git version control, Infrastructure as Code (Terraform), and learn how SRE teams manage reliability using Error Budgets.Linux Terminal & Automation: Acquire hands-on comfort with the Linux operating system. Master essential shell navigation, the file permissions model (chmod), and write your own Bash scripts to automate repetitive tasks."Hardware is the part of a computer you can kick; software is the part you can only curse at." - Traditional IT WisdomWhether your goal is cloud engineering, DevOps, cyber security, or simply surviving a technical conversation with your engineering team, this book delivers the exact conceptual scaffold you need This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condition: new. Paperback. Are you tired of spending your Sunday afternoons rebuilding a broken dashboard because someone changed a column name in the source database? Do you have a shared network folder full of confusing files named dashboard_final_FINAL_v3_USE_THIS_ONE.xlsx? It's time to escape spreadsheet addiction and step into the world of truly automated enterprise business intelligence.In Power BI for Data Analytics: The Lazy Person's Guide to Automated Reporting, data analyst and software developer John Cutts delivers a practical, step-by-step roadmap to building self-evident, lightning-fast dashboards that answer the right business questions without requiring constant manual maintenance. Written specifically for professionals who know their way around Excel but want to upgrade their skills, this guide skips the dry reference manuals and relies on hands-on learning from day one.What You Will Master Inside This Guide: The Power BI Ecosystem: Navigate Power BI Desktop and the Power BI Service like a pro to share your insights smoothly across your entire organization.Power Query Chores, Automated: Learn the art of cleaning, reshaping, splitting, and merging messy data automatically so you never repeat the same data prep tasks again.Data Modeling & Star Schema: Connect multiple tables seamlessly using robust, enterprise-grade modeling structures optimized for speed.DAX Formulas That Think: Demystify Data Analysis Expressions (DAX) and master essential functions like CALCULATE, ALLSELECTED, and dynamic parameters to write calculations that adapt to user interaction.Advanced User Experience Controls: Build interactive slicers, custom hover tooltips, bookmarks, and seamless multi-page report navigation that feels like a modern web app.Portfolio & Industry Practices: Set up automatic data refresh schedules, track down bottlenecks with the Performance Analyzer, and optimize your dashboard to build a standout LinkedIn portfolio.Two Standout Portfolio Projects Included: Instead of working through abstract tutorials, you will analyze a massive real-world dataset of nearly 478,000 global technology and data science job postings. By the end of this book, you will have built: The Data Jobs Dashboard: A broad-scope, interactive report exploring market hiring volume, global geographic distributions via maps, and job counts by title.The Advanced Analytical Dashboard: A highly customized, deep-dive report featuring advanced DAX measures, field parameters, and rich canvas formatting for skills analysis and salary benchmarking."If you have to explain how to use a dashboard, you haven't finished building it." - John CuttsStop wasting hours on manual reporting adjustments. Grab your copy of this definitive 2026 guide today, build your reporting machine once, and never manually update a dashboard again! This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.