Data Science For Dummies （4th）

個数：

電子版価格
¥3,638

予約
電子版あり

Data Science For Dummies （4th）

Pierson, Lillian

ウェブストア価格 ¥7,877（本体¥7,161）
John Wiley & Sons Inc（2026/09/22発売）
外貨定価 US$ 36.99
ポイント 71pt

現在予約受付中です。出版後の入荷・発送となります。
（重要：表示されている発売日は予定となり、発売が延期、中止、生産限定品で商品確保ができないなどの理由により、ご注文をお取消しさせていただく場合がございます。予めご了承ください。）

●3Dセキュア導入とクレジットカードによるお支払いについて

【入荷遅延について】
世界情勢の影響により、海外からお取り寄せとなる洋書・洋古書の入荷が、表示している標準的な納期よりも遅延する場合がございます。
おそれいりますが、あらかじめご了承くださいますようお願い申し上げます。

◆画像の表紙や帯等は実物とは異なる場合があります。

◆ウェブストアでの洋書販売価格は、弊社店舗等での販売価格とは異なります。
また、洋書販売価格は、ご注文確定時点での日本円価格となります。
ご注文確定後に、同じ洋書の販売価格が変動しても、それは反映されません。

製本 Paperback:紙装版/ペーパーバック版／ページ数 432 p.
言語 eng
商品コード 9781394424085
DDC分類 005.74

Full Description

Understand the foundations of data science and modern AI tools with this fully updated beginner's guide

Whether you're a business analyst who's never coded, a manager who's making data-driven decisions, or a career changer eyeing one of the fastest-growing professions, data science skills are vital to success. In the fourth edition of Data Science For Dummies, Lillian Pierson, a fractional CMO and GTM engineer who has trained over two million learners, delivers a hands-on introduction to the key concepts and tools such as AI-enabled shortcuts that make advanced analytics accessible to everyone.

This updated edition covers generative AI, prompt engineering, and predictive analytics right alongside evergreen fundamentals like Python programming, statistics, and data wrangling. Brand-new chapters explain practical applications using ChatGPT and Claude, while expanded no-code workflows make AI-powered analysis accessible to readers who have never written a single line of code.

Data Science For Dummies walks you through:

Foundational skills in Python, statistics, and machine learning for beginners and career changers
Hands-on generative AI coverage with practical demos using ChatGPT and Claude
No-code workflows that show non-programmers how to perform AI-powered data analysis tasks
Updated guidance on ethical AI practices, data regulations, and responsible compliance
Career-focused advice on emerging roles, portfolio building, and industry preparation

Perfect for professionals, students, career changers, and business leaders looking for an accessible launching pad into an exciting and rewarding discipline, Data Science For Dummies gives you the foundational skills and modern AI tools you need to extract insights, create visualizations, and make smarter, data-driven decisions.

Introduction 1

Part 1: Getting Started with Data Science in the Age of AI 7
CHAPTER 1: Doing Data Science in an AI World 9
CHAPTER 2: Understanding Data and Thinking Like an Analyst 23
CHAPTER 3: Getting and Cleaning Data without Coding 39
CHAPTER 4: AI Tool Literacy — When to Trust, When to Verify 59

Part 2: Extracting Insights without Code 75
CHAPTER 5: Prompt Engineering for Analytics 77
CHAPTER 6: Exploring Your Data with AI 99
CHAPTER 7: Building Machine Learning Models without Code 117
CHAPTER 8: Understanding Essential Math and Statistics 137
CHAPTER 9: Clustering and Segmentation with AI 157
CHAPTER 10: Getting Predictive Analytics with Regression Analysis 173
CHAPTER 11: Building Dashboards with AI 193
CHAPTER 12: Data Storytelling and Visualization in the Age of AI 213

Part 3: Driving Business Value with AI and Analytics 235
CHAPTER 13: Developing Your Business Acumen 237
CHAPTER 14: Improving Operations with Data and AI 251
CHAPTER 15: Making Marketing Improvements with AI 265
CHAPTER 16: Decision Support and BI Copilots 283
CHAPTER 17: Risk and Fraud Detection with AI 299

Part 4: Implementing Data Science in Your Organization 311
CHAPTER 18: Gathering Important Information about Your Company 313
CHAPTER 19: Narrowing In on the Optimal Data Science Use Case 333
CHAPTER 20: Planning for Future Data Science Project Success 349
CHAPTER 21: Becoming an AI-Driven Data Professional 363

Part 5: The Part of Tens 381
CHAPTER 22: Ten Prompts Every Analytics Power User Should Master 383
CHAPTER 23: Ten Reliable AI and Data Science Tools 393

Index 401