MARC details
| 000 -LEADER |
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| fixed length control field |
02526aam a2200205 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
250118b2024 |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9789355327888 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
519.5 |
| Item number |
S2B8 |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Sachan, Amit |
| 9 (RLIN) |
427742 |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Business statistics using python |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
Chennai |
| Name of publisher, distributor, etc |
McGraw Hill Education |
| Date of publication, distribution, etc |
2024 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xiv, 402 p. : ill. |
| Other physical details |
include appendix |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
Overview:<br/><br/>This book redefines the way business statistics is approached by seamlessly integrating the power of Python into statistical analysis. The book adopts a descriptive writing style, explaining relevant statistical concepts within the<br/>framework of business management. Subsequently, it guides the reader through the exploration of statistical models, illustrating how Python can be effectively employed for their study.<br/><br/>Authored with a focus on practicality and real-world applications, this book serves as a comprehensive guide for graduate and postgraduate management students looking to leverage Python in business data analytics.<br/><br/><br/>Key Features:<br/><br/>• Practical Integration: Seamlessly integrates business statistics principles with Python programming, providing readers with practical skills applicable to various domains.<br/>• Enhanced Data Analysis: Utilizes the advantages of Python, such as its open-source nature and versatility, to perform advanced data analysis tasks beyond the capabilities of traditional tools. <br/>• Application-Oriented Learning: Offers case studies and practice questions that demonstrate the application of statistical concepts in real-world scenarios, empowering readers to make informed decisions and solve complex business challenges.<br/>• Holistic Approach: Covers descriptive statistics, data visualization, statistical inference, and modelling techniques, providing a comprehensive understanding of statistical analysis methods and their practical implementations.<br/>• Over 150 solved examples using Python, making it highly relevant for those aspiring to pursue a career in the analytics industry.<br/><br/><br/>https://www.mheducation.co.in/business-statistics-using-python-9789355327888-india#tab-label-product-description-title |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Business statistics - Computer programs |
| 9 (RLIN) |
428433 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Python (Computer program language) - Statistical applications |
| 9 (RLIN) |
428434 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Data analysis - Business applications |
| 9 (RLIN) |
428435 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Descriptive statistics - Business management |
| 9 (RLIN) |
428436 |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Prabu P M, Arulanantha |
| Relator term |
Co-author |
| 9 (RLIN) |
428437 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Item type |
Books |
