Fun with Data Analysis and BI : Real-world applications of analytical techniques
Description: Fun with Data Analysis and BI teaches you how to turn raw data into actionable insights using business intelligence tools. It equips you with essential skills to make data-driven decisions and effectively communicate findings. This book is designed to guide you through learning SQL from...
保存先:
| 第一著者: | |
|---|---|
| フォーマット: | Livre numérique |
| 言語: | Anglais |
| 出版事項: |
New Delhi :
BPB Publications
2024.
Paris : Cyberlibris |
| オンライン･アクセス: | Accès Université d'Orléans et IFPM |
| 注記: |
Couverture. https://static2.cyberlibris.com/books_upload/136pix/9789355519269.jpg Cyberlibris (ScholarVox) corpus Informatique |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Fun with Data Analysis and BI, Real-world applications of analytical techniques, Nitin Sethi, New Delhi, BPB Publications, 2024, 1 vol. (361 p.), 978-93-5551-926-9 |
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| 100 | 1 | |a Sethi, Nitin. | |
| 245 | 1 | 0 | |a Fun with Data Analysis and BI : |b Real-world applications of analytical techniques |c Nitin Sethi. |
| 260 | |a New Delhi : |b BPB Publications. | ||
| 260 | |a Paris : |b Cyberlibris, |c 2024. | ||
| 500 | |a Couverture. https://static2.cyberlibris.com/books_upload/136pix/9789355519269.jpg | ||
| 500 | |a Cyberlibris (ScholarVox) corpus Informatique | ||
| 505 | 0 | |a 1. E-Ticket Booking -- 2. Creating Games on Python -- 3. Introduction to Sentiment Analysis -- 4. Sentiment Analysis on E-Commerce: Product Reviews -- 5. Sentiment Analysis on X -- 6. Stroke Prediction -- 7. Movie Review Sentiment Analysis -- 8. Stock Market Data Analysis -- 9. Customer Data Analysis -- 10. Analyzing Sports Data in Tableau -- 11. Office Supplies Dashboard Using Tableau -- 12. COVID Dashboard Using Tableau | |
| 506 | |a L'accès en ligne est réservé aux établissements ou bibliothèques ayant souscrit l'abonnement. Cyberlibris | ||
| 520 | |a Description: Fun with Data Analysis and BI teaches you how to turn raw data into actionable insights using business intelligence tools. It equips you with essential skills to make data-driven decisions and effectively communicate findings. This book is designed to guide you through learning SQL from the ground up. Starting with installation and environment setup, it covers everything from building databases and creating tables to mastering SQL queries. Alongside theoretical concepts, you will engage in hands-on projects that demonstrate practical applications, including market analysis using Python to track stock trends and churn analysis to understand customer behavior. Each chapter concludes with MCQs to test your knowledge. The book also introduces you to Tableau, a powerful tool for creating visualizations without writing code, with step-by-step instructions on how to use it for your data projects. By the end of this book, you will be equipped with the skills to extract valuable insights from complex datasets, visualize data in compelling ways, and make data-driven decisions that positively impact your organization. Key Features: In-depth coverage of SQL, Python, ML, and Tableau for all skill levels. Hands-on projects to transform raw information into valuable data insights. Practical examples and end-to-end solutions for mastering data science concepts. What you will learn: Install and set up SQL environments, create databases, develop tables, and write effective SQL queries. Use Python to analyze stock market data, create clusters, and support data-driven decisions. Apply ML to understand consumer behavior, predict churn, and improve retention. Design striking data visuals with Tableau, enhancing data presentation skills without coding. Gain hands-on experience by working on complete projects, from data preparation to final output. Who this book is for: Whether you are a business analyst, data scientist, or aspiring data professional, this book provides the essential knowledge and practical guidance to excel in the field of data analysis | ||
| 776 | 0 | |t Fun with Data Analysis and BI |o Real-world applications of analytical techniques |f Nitin Sethi |c New Delhi |n BPB Publications |d 2024 |p 1 vol. (361 p.) |z 978-93-5551-926-9 | |
| 856 | 4 | |5 452349901:845619985 |u https://ezproxy.univ-orleans.fr/login?url=https://univ.scholarvox.com/book/88958093 |z Accès Université d'Orléans et IFPM | |
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