Data Science Crash Course : Statistical mathematics, advanced data analysis, and computational techniques for insightful decision making
Description: Data science is the engine driving modern innovation, making Python mastery essential for anyone looking to turn raw information into actionable strategy. This book serves as your streamlined roadmap, bridging the gap between basic data literacy and professional-grade analytical executi...
Enregistré dans:
| Auteur principal: | |
|---|---|
| Format: | Livre numérique |
| Langue: | Anglais |
| Publié: |
New Delhi :
BPB Publications
2026.
Paris : Cyberlibris |
| Accès en ligne: | Accès Université d'Orléans et IFPM |
| Note: |
Couverture. https://static2.cyberlibris.com/books_upload/300pix/9789365898958.jpg Cyberlibris (ScholarVox) corpus Informatique |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Data Science Crash Course, Statistical mathematics, advanced data analysis, and computational techniques for insightful decision making, Dr. Deepti Chopra, New Delhi, BPB Publications, 2026, 1 vol. (342 p.), 978-93-6589-895-8 |
Table des matières:
- 1. Introduction to Data Science
- 2. Roles and Responsibilities of a Data Scientist
- 3. The Necessity of Python in Data Science
- 4. Introduction to Data Understanding
- 5. Data Preprocessing
- 6. Creating Synthetic Datasets in MS Excel
- 7. Basics of Python Programming
- 8. Working with Python Data Structures
- 9. Data Analysis Process
- 10. Essential Python Libraries for Data Science
- 11. Data Processing and Visualization
- 12. Mathematical and Scientific Applications
- 13. Developing Recommender Systems
- 14. Real-world Applications and Case Studies
- 15. Practical Examples and Exercises