Statistics for Data Scientists and Analysts : Statistical approach to data-driven decision making using Python
Description: Statistics is a powerful tool for data analysis, visualization, and inference. Python is a popular programming language that offers a rich set of libraries and frameworks for statistical computing. Together, they can help you solve real-world problems and make informed decisions based o...
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| Autori principali: | , |
|---|---|
| Natura: | Livre numérique |
| Lingua: | Anglais |
| Pubblicazione: |
New Delhi :
BPB Publications
2025.
Paris : Cyberlibris |
| Accesso online: | Accès Université d'Orléans et IFPM |
| Nota: |
Couverture. https://static2.cyberlibris.com/books_upload/136pix/9789365897128.jpg Cyberlibris (ScholarVox) corpus Informatique |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Statistics for Data Scientists and Analysts, Statistical approach to data-driven decision making using Python, Dipendra Pant, Suresh Kumar Mukhiya, New Delhi, BPB Publications, 2025, 1 vol. (409 p.), 978-93-6589-712-8 |
Sommario:
- 1. Foundations of Data Analysis and Python
- 2. Exploratory Data Analysis
- 3. Frequency Distribution, Central Tendency, Variability
- 4. Unravelling Statistical Relationships
- 5. Estimation and Confidence Intervals
- 6. Hypothesis and Significance Testing
- 7. Statistical Machine Learning
- 8. Unsupervised Machine Learning
- 9. Linear Algebra, Nonparametric Statistics, and Time Series Analysis
- 10. Generative AI and Prompt Engineering
- 11. Real World Statistical Applications