- Reduced price
- New
| Title | Python for Data Science for Dummies, 2ed |
| Author | Luca Massaron John Paul Mueller |
| ISBN-13 | 9788126524938 |
| Publication | WILEY |
Python is a general-purpose programming language that is popular with data scientists. It is free, as are a number of open-source libraries help acquire, organize, and process information. This book is designed for beginners to data analysis and covers the basics of Python data analysis programming and statistics. The book covers the Python fundamentals that are necessary to data analysis, including objects, functions, modules, and libraries. The book provides the statistical background needed to get started in data science programming, including probability, random distributions, hypothesis Testing, confidence intervals, and building regression models for prediction.
For General Enquiries E-mail support@madrasshoppe.com
COD Available. Delivery Time 4 - 7 Working Days in India.
Python is a general-purpose programming language that is popular with data scientists. It is free, as are a number of open-source libraries help acquire, organize, and process information. This book is designed for beginners to data analysis and covers the basics of Python data analysis programming and statistics. The book covers the Python fundamentals that are necessary to data analysis, including objects, functions, modules, and libraries. The book provides the statistical background needed to get started in data science programming, including probability, random distributions, hypothesis Testing, confidence intervals, and building regression models for prediction.
Luca Massaron John Paul Mueller is the author of Python for Data Science for Dummies, 2ed.
Disclaimer:
| Title | Python for Data Science for Dummies, 2ed |
| Author | Luca Massaron John Paul Mueller |
| ISBN-13 | 9788126524938 |
| Publication | WILEY |
Python is a general-purpose programming language that is popular with data scientists. It is free, as are a number of open-source libraries help acquire, organize, and process information. This book is designed for beginners to data analysis and covers the basics of Python data analysis programming and statistics. The book covers the Python fundamentals that are necessary to data analysis, including objects, functions, modules, and libraries. The book provides the statistical background needed to get started in data science programming, including probability, random distributions, hypothesis Testing, confidence intervals, and building regression models for prediction.