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Mahsulot #:
248940845
Data Science Tools A Complete Guide
Mahsulot #:
248940845
UZS 1846871
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Mahsulot tafsilotlari
- Data Science Tools are the engine that turns raw data into actionable insight, and organizations that lack a disciplined approach risk costly missteps, missed opportunities, and compliance gaps. Modern enterprises depend on pipelines, libraries, and platforms to deliver analytics at scale, yet many teams operate without a clear view of tool readiness, governance, or performance. This book delivers a practical path to mastery.The Self-Assessment methodology is organized around the RDMAICS framework - Recognize, Define, Measure, Analyze, Improve, Control, Sustain. Each of the seven criteria contains dozens of targeted questions focused on Data Science Tools such as version control, model deployment, data lineage, monitoring, security, and scalability. Readers rate each statement on a 1-5 scale, and the scores are plotted on a radar chart Scorecard that instantly highlights strengths and gaps. Even professionals with limited assessment experience can complete the process in a single workshop.Included Professional Toolkit (40-48 Practitioner Tools): Generated fresh at the time of purchase, the toolkit reflects the latest standards and best practices for Data Science Tools. It is organized into ten sections - Getting Started, Assessment and Planning, Models and Frameworks, Processes and Handoffs, Operations and Execution, Performance and KPIs, Quality and Compliance, Sustainment and Support, Advanced Topics, and Reference. The package delivers roughly 28 Excel workbooks and 16 PDF guides. Every Excel file contains three sheets (Instructions, Template, Pro Tips & Common Mistakes). Every PDF includes a Pro Tips sidebar, a Common Mistakes checklist, and a Quick Reference card. Core deliverables comprise maturity assessment matrices, gap analysis worksheets, decision-making frameworks with weighted scoring, implementation roadmaps, stakeholder maps, runbook templates, KPI dashboard layouts, risk matrices, audit checklists, and quick-reference cards - all tailored to Data Science Tools rather than generic project forms.Each purchase includes Lifetime Updates. As the Data Science ecosystem evolves - new platforms, regulatory expectations, and analytic techniques - the author team refreshes the content and toolkit files. Buyers receive the updated materials automatically, ensuring their assessment and implementation resources stay current without additional cost.This guide is intended for senior data professionals and operational leaders - for example, a Chief Data Officer seeking a baseline of tool capability, a Data Science Lead tasked with building a compliant model-deployment pipeline, or a Process Improvement Manager who must justify investment in analytics infrastructure. In a typical scenario, a mid-size enterprise uses the book to conduct a rapid organization-wide audit, generate a visual Scorecard, and then follow the provided roadmap to prioritize upgrades and training.Developed by The Art of Service, business process architects serving over 100,000 professionals across 160 countries since 2000. Every book and toolkit draws on 25 years of operational excellence research and a continuously updated knowledge base spanning hundreds of industry frameworks.
| Publisher | 5STARCooks |
| Publication date | 7 April 2023 |
| Language | English |
| Print length | 300 pages |
| ISBN-10 | 1038808138 |
| ISBN-13 | 978-1038808134 |
| Item weight | 517 g |
| Dimensions | 15.24 x 1.73 x 22.86 cm |
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Data Science Tools A Complete Guide
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UZS 1846871
Hoziroq buyurtma bering va oling Juma, Oktyabr 30
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Xususiyatlar va Afzalliklar
- Transform raw data into actionable insights with structured assessment.
- Utilize the RDMAICS framework for comprehensive tool evaluation.
- Includes a Professional Toolkit with 40-48 practitioner tools.
- Lifetime Updates are provided to adapt to evolving data science standards.
- Designed for senior data professionals and operational leaders.
- Enables rapid organization-wide audits and prioritizes training.
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