Data Analyst, Data Scientist and Generative AI Engineer roles share more of their interview ground than most candidates expect. This book covers all three — each part ordered by how often the questions are genuinely asked, not by textbook order.
200 Questions across three self-contained parts, plus three appendices on learning, practice and interview day. Each part stands alone, so you can read only the one matching the role you are interviewing for — or all three, because the pipelines overlap more than most candidates realise.
Inside this book:
What you get:
Covers: SQL and window functions · Power BI and DAX · Excel · statistics · Pandas and NumPy · supervised learning · model evaluation · feature engineering · large language models · prompt engineering · retrieval-augmented generation · agents and tool calling · evaluation and guardrails
Written by a software professional with over twenty years of industry experience — and built for people at the start of theirs.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
Paperback. Etat : new. Paperback. Three roles. One hiring pipeline.Data Analyst, Data Scientist and Generative AI Engineer roles share more of their interview ground than most candidates expect. This book covers all three - each part ordered by how often the questions are genuinely asked, not by textbook order.200 Questions across three self-contained parts, plus three appendices on learning, practice and interview day. Each part stands alone, so you can read only the one matching the role you are interviewing for - or all three, because the pipelines overlap more than most candidates realise.Inside this book: Part One - Data Analyst & Power BI (70 questions)Part Two - Data Science (65 questions)Part Three - Generative AI (65 questions)Appendices - Learning, Practice & Interview Day (A-C)What you get: SQL first - roughly half of a data analyst interviewMachine learning, model evaluation and feature engineeringLLMs, prompt engineering, RAG, agents and production concernsReal analytical scenarios, not just definitionsThe follow-up questions an interviewer asks nextCovers: SQL and window functions - Power BI and DAX - Excel - statistics - Pandas and NumPy - supervised learning - model evaluation - feature engineering - large language models - prompt engineering - retrieval-augmented generation - agents and tool calling - evaluation and guardrailsWritten by a software professional with over twenty years of industry experience - and built for people at the start of theirs. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9798171250607
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Vendeur : PBShop.store US, Wood Dale, IL, Etats-Unis
PAP. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur L0-9798171250607
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Vendeur : California Books, Miami, FL, Etats-Unis
Etat : New. Print on Demand. N° de réf. du vendeur I-9798171250607
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Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
PAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur L0-9798171250607
Quantité disponible : Plus de 20 disponibles
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. Neuware - Three roles. One hiring pipeline.Data Analyst, Data Scientist and Generative AI Engineer roles share more of their interview ground than most candidates expect. This book covers all three - each part ordered by how often the questions are genuinely asked, not by textbook order.200 Questions across three self-contained parts, plus three appendices on learning, practice and interview day. Each part stands alone, so you can read only the one matching the role you are interviewing for - or all three, because the pipelines overlap more than most candidates realise.Inside this book: - Part One - Data Analyst & Power BI (70 questions)- Part Two - Data Science (65 questions)- Part Three - Generative AI (65 questions)- Appendices - Learning, Practice & Interview Day (A-C)What you get: - SQL first - roughly half of a data analyst interview- Machine learning, model evaluation and feature engineering- LLMs, prompt engineering, RAG, agents and production concerns- Real analytical scenarios, not just definitions- The follow-up questions an interviewer asks nextCovers: SQL and window functions - Power BI and DAX - Excel - statistics - Pandas and NumPy - supervised learning - model evaluation - feature engineering - large language models - prompt engineering - retrieval-augmented generation - agents and tool calling - evaluation and guardrailsWritten by a software professional with over twenty years of industry experience - and built for people at the start of theirs. N° de réf. du vendeur 9798171250607
Quantité disponible : 2 disponible(s)
Vendeur : CitiRetail, Stevenage, Royaume-Uni
Paperback. Etat : new. Paperback. Three roles. One hiring pipeline.Data Analyst, Data Scientist and Generative AI Engineer roles share more of their interview ground than most candidates expect. This book covers all three - each part ordered by how often the questions are genuinely asked, not by textbook order.200 Questions across three self-contained parts, plus three appendices on learning, practice and interview day. Each part stands alone, so you can read only the one matching the role you are interviewing for - or all three, because the pipelines overlap more than most candidates realise.Inside this book: Part One - Data Analyst & Power BI (70 questions)Part Two - Data Science (65 questions)Part Three - Generative AI (65 questions)Appendices - Learning, Practice & Interview Day (A-C)What you get: SQL first - roughly half of a data analyst interviewMachine learning, model evaluation and feature engineeringLLMs, prompt engineering, RAG, agents and production concernsReal analytical scenarios, not just definitionsThe follow-up questions an interviewer asks nextCovers: SQL and window functions - Power BI and DAX - Excel - statistics - Pandas and NumPy - supervised learning - model evaluation - feature engineering - large language models - prompt engineering - retrieval-augmented generation - agents and tool calling - evaluation and guardrailsWritten by a software professional with over twenty years of industry experience - and built for people at the start of theirs. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9798171250607
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