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Total Size:
17.1 MB
Info Hash:
9B078A64BE58721B62B73BC22FF5AE327BDD688C
Added By:
Added:
March 2, 2026, 8:42 p.m.
Stats:
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(Last updated: March 2, 2026, 8:43 p.m.)
| File | Size |
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| Chavan P. Essentials of Big Data Analytics. Applications in R and Python 2026.pdf | 17.1 MB |
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1016.7 KB
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2023-06-01
| Uploaded by zakareya | Size 1016.7 KB | Health [ 22 /0 ] | Added 2023-06-01 |
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| Uploaded by NoMercyReal | Size 943.9 MB | Health [ 0 /20 ] | Added 2023-10-26 |
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| Uploaded by NoMercyReal | Size 261.9 MB | Health [ 0 /0 ] | Added 2023-10-26 |
NOTE
SOURCE: Chavan P. Essentials of Big Data Analytics. Applications in R and Python 2026
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COVER
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MEDIAINFO
Textbook in PDF format
Essentials of Big Data Analytics: Applications in R and Python is a comprehensive guide that demystifies the complex world of big data analytics, blending theoretical concepts with hands-on practices using the Python and R programming languages and MapReduce framework. This book bridges the gap between theory and practical implementation, providing clear and practical understanding of the key principles and techniques essential for harnessing the power of big data. Essentials of Big Data Analytics is designed to provide a comprehensive resource for readers looking to deepen their understanding of Big Data analytics, particularly within a computer science, engineering, and data science context. By bridging theoretical concepts with practical applications, the book emphasizes hands-on learning through exercises and tutorials, specifically utilizing R and Python. Given the growing role of Big Data in industry and scientific research, this book serves as a timely resource to equip professionals with the skills needed to thrive in data-driven environments.
Includes hands-on Tutorials and Case Studies: Structured exercises and real-world examples reinforce learning and skill-building
Focuses on Python and R for Big Data: Detailed lessons in Python and R programming cater to the increasing demand for data science expertise
Balanced Theory and Practice: Comprehensive coverage ensures a strong theoretical foundation paired with actionable insights for real-world application
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