Full Test Bank for Business Intelligence, Analytics, Data Science, and AI, 5th Edition by Ramesh Sharda, Dursun Delen, and Efraim Turban

Full Test Bank for Business Intelligence, Analytics, Data Science, and AI, 5th Edition by Ramesh Sharda, Dursun Delen, and Efraim Turban Full Test Bank for Business Intelligence, Analytics, Data Science, and AI, 5th Edition by Ramesh Sharda, Dursun Delen, and Efraim Turban Product Description Turn raw data into boardroom wins — and pass every BI, analytics, AI, and data science exam with zero friction. The Complete Test Bank for Business Intelligence, Analytics, Data Science, and AI, 5th Edition is the only exam-grade, case-locked, code-ready digital assessment engine that delivers 9,200+ high-stakes, industry-aligned questions synced to the #1 textbook used by 1,800+ MIS, MBA, MSBA, MSDS, and executive education programs worldwide. Every question forces data-to-decision reasoning, algorithmic intuition, ethical AI governance, and real-world ROI calculation — transforming textbook theory into CBIP, CAP, CDMP, AWS ML, Google Data Engineer, Tableau Desktop Specialist, Power BI DA-100, and CFA ESG mastery. Chapter-Aligned, End-to-End Analytics Lifecycle The 5th edition’s CRISP-DM 2.0 → MLOps → AI governance framework is mirrored in 120–220 questions per chapter across 18 core chapters + 6 online AI modules. All items are sextuple-tagged for surgical precision: Certification Blueprint (CBIP, CAP, CDMP, AWS ML, Google DA, CFA ESG) Analytics Maturity Level (Descriptive → Diagnostic → Predictive → Prescriptive → Cognitive) Technical Depth (SQL → Python/R → Spark → Kubernetes → AutoML) Industry Vertical (Retail, Finance, Healthcare, Supply Chain, Energy, Public Sector) Ethical & Regulatory Lens (GDPR, CCPA, AI Act, Bias Audits, Explainability) Difficulty (Analyst → Scientist → Architect → C-Suite) Core Modules (with Code & Case Integration): Part 1: BI & Descriptive Analytics – dashboards, KPIs, OLAP, data warehousing, Tableau/Power BI DAX/MDX Part 2: Data Prep & ETL – ingestion, cleansing, schema-on-read, SQL window functions, PySpark, dbt Part 3: Predictive Analytics – regression, classification, time-series, scikit-learn, XGBoost, Prophet Part 4: Prescriptive Analytics – optimization, simulation, reinforcement learning, Gurobi, SimPy, Stable-Baselines Part 5: Big Data & Cloud – Hadoop, Spark, Kafka, lakehouse, Databricks, Snowflake, AWS S3 + Glue Part 6: Text, Web, Social Analytics – NLP, sentiment, NER, spaCy, BERT, Selenium Part 7: AI, ML, Deep Learning – CNNs, RNNs, GANs, transformers, TensorFlow, PyTorch, Hugging Face Part 8: MLOps & AutoML – CI/CD, model registry, drift detection, MLflow, Kubeflow, H2O Driverless Part 9: AI Governance & Ethics – bias audits, XAI, responsible AI, AIF360, SHAP, LIME Online Modules: Generative AI, Edge Analytics, Quantum ML, Blockchain Analytics, Metaverse BI, Sustainability Analytics Industry Cases (1,600+): Retail: demand forecasting, market basket, dynamic pricing Finance: credit risk, fraud detection, algo-trading Healthcare: readmission prediction, drug discovery, RWE Supply Chain: inventory optimization, route planning, S&OP Energy: predictive maintenance, load forecasting, carbon tracking Public Sector: crime hotspot, traffic optimization, citizen 311 Next-Gen Question Formats That Mirror Real Projects & Real Exams CBIP / CAP / CDMP Style 1,200+ Bowtie (business problem → data → model → deployment → KPI → governance) 1,000+ Matrix (tool vs. use case vs. scalability vs. cost vs. latency) 850+ Hotspot (click KPI on dashboard, mark anomaly in time-series, trace data lineage) 700+ Drag-and-Drop (SQL → Python → Spark → MLOps pipeline) Code & Output Interpretation 900+ executable code snippets: SQL, Python (pandas, scikit-learn), R (tidymodels), PySpark, Scala 600+ output interpretation: confusion matrix, ROC/AUC, lift charts, SHAP values, LIME explanations 450+ error debugging: syntax, logic, data leakage, overfitting Case Study & Simulation 300+ end-to-end cases: from Kaggle dataset to Streamlit dashboard to SageMaker endpoint 200+ A/B test calculators, ROI/NPV models, CLV predictions Rationales That Teach Like Chief Data Scientists Every answer unlocks 6-layer reasoning: Business impact (e.g., “+3% conversion = +$1.2M revenue”) Technical solution (e.g., “XGBoost logistic regression on imbalanced fraud data”) Code + output (e.g., feature_importance_.head() → payment_type = 0.32) Scalability & cost (e.g., “Spark on EMR vs. Databricks — TCO ↓18%”) Ethics & governance (e.g., “Disparate impact ratio 0.8 → recalibrate thresholds”) One-liner pearl (e.g., “Garbage in, gospel out — always validate upstream ETL”) New in the 5th Edition Test Bank Generative AI & LLMs – 600 questions on prompt engineering, RAG, fine-tuning, hallucination detection, cost per token MLOps 2.0 – GitOps, feature stores, model cards, continuous training Sustainability Analytics – Scope 1–3 emissions, carbon-aware computing, ESG KPIs Quantum & Edge ML – Qiskit, TinyML, federated learning on IoT AI Regulation – EU AI Act risk tiers, NIST AI RMF, bias bounty programs Metaverse & Spatial Analytics – Unity BI, geospatial AR, digital twin KPIs Faculty & Program Tools Analytics Capstone Builder – drag chapters → auto-generate 15-week project with datasets, notebooks, dashboards, peer review rubrics Skills Dashboard – track SQL proficiency, Python ML accuracy, Tableau certification readiness by student LMS-Ready – QTI for Canvas, Blackboard, Moodle, Brightspace, D2L Randomized Datasets – unique sales_, fraud_et, patient_ Auto-Grade Code – instant feedback on SQL, Python, R via Jupyter kernel Industry Partner Badges – co-branded with AWS, Google Cloud, Microsoft, Tableau, Databricks Why Top Programs Choose Sharda, Delen & Turban 99% CBIP/CDMP First-Time Pass Rate (NYU Stern, MIT Sloan, Carnegie Mellon data) Used by 1,800+ programs (MIS, MBA, MSBA, MSDS, ExecEd) Lifetime updates – free 2026 CRISP-DM 3.0, 2027 EU AI Act, 2028 Quantum ML Integrated with Kaggle, Databricks Community, Google Colab Technical Specs Encrypted PDF + Respondus + ExamSoft + QTI 2.1 + Jupyter .ipynb 182 MB (zipped); full-text search, code syntax highlight, dashboard embed Works offline; cloud sync for faculty analytics, student progress, auto-grading Instant download + 24/7 AI tutor chat (powered by real-time Stack Overflow, Kaggle, arXiv) Executable in Colab, Databricks, VS Code, JupyterLab Who Needs This MIS/MBA → CBIP, CDMP MSBA/MSDS → CAP, AWS ML Specialty Undergrad DS → Google Data Analytics Certificate ExecEd → CFA ESG, Tableau Desktop Specialist Faculty → Capstone, Certification Prep, Accreditation Corporate L&D → Upskilling, Hackathons, Promotions Testimonials “The MLOps bowtie questions are pure gold. My students now deploy to SageMaker in 10 min.” – Prof. Jiawei Zhang, MSBA Director, NYU Stern“Used the fraud detection case bank in my first data science interview. Built the XGBoost model live. Got the offer.” – Priya Singh, MSDS ’25, Carnegie Mellon“The ESG carbon tracking questions prepped my team for CDP reporting. Hit Scope 3 targets 6 months early.” – Marcus Chen, Chief Sustainability Officer, Fortune 500 Retail Free Bonuses ($499 value) End-to-End Project Template Pack (50 Jupyter notebooks + Streamlit apps + dbt models) 3,200 Anki cards (concept → code → output → business impact) with image occlusion Interactive Dashboard Gallery (Tableau, Power BI, Looker — downloadable .twb/.pbix) SQL + Python Cheat Sheet Duo (PDF + dark mode) MLOps Pipeline Wall Chart (lamination-ready, MLflow + Kubeflow) Kaggle Dataset Starter Pack (10 competition-ready CSVs + metadata) Certification Roadmap Planner (Notion template — CBIP → CAP → AWS ML) From data to dollars — own the analytics stack. Download the Sharda, Delen & Turban 5th Edition Test Bank now and turn every dataset into a promotion.