![[Review] Data Analytics Made Accessible: 2025 edition (Anil Maheshwari) Summarized.](https://episodes.castos.com/660078c6833215-59505987/images/2684646/c1a-085k3-v66p35mjagv4-bwaxkt.jpg)
Show Notes
Data Analytics Made Accessible: 2025 edition (Anil Maheshwari)
- Amazon USA Store: https://www.amazon.com/dp/B00K2I2JL8?tag=9natree-20
- Amazon Worldwide Store: https://global.buys.trade/Data-Analytics-Made-Accessible%3A-2025-edition-Anil-Maheshwari.html
- Apple Books: https://books.apple.com/us/audiobook/the-neatest-little-guide-to-stock-market-investing/id1522987713?itsct=books_box_link&itscg=30200&ls=1&at=1001l3bAw&ct=9natree
- eBay: https://www.ebay.com/sch/i.html?_nkw=Data+Analytics+Made+Accessible+2025+edition+Anil+Maheshwari+&mkcid=1&mkrid=711-53200-19255-0&siteid=0&campid=5339060787&customid=9natree&toolid=10001&mkevt=1
- Read more: https://english.9natree.com/read/B00K2I2JL8/
#Dataminingtechniques #RandPythontutorials #BigDataandDataLakes #ArtificialIntelligencecontext #Dataownershipandprivacy #DataAnalyticsMadeAccessible
Data Analytics Made Accessible: 2025 edition is an introductory, practitioner-oriented guide to data analytics by Anil Maheshwari, a management and information systems professor. Positioned as a concise and conversational entry point to a fast-changing field, it aims to give students intuition as well as familiarity with major data-mining techniques and analytics platforms. The available description indicates that the edition combines conceptual coverage with concrete examples and tutorials for R and Python, rather than treating analytics solely as a mathematical subject. It also broadens the frame beyond modeling to include Big Data, artificial intelligence, data science careers, data ownership, and privacy. A summary chapter organized around 50 main points appears intended to help readers consolidate the material. The book therefore belongs to the accessible data-science primer genre: it is designed to orient beginners to the vocabulary, tools, uses, and wider responsibilities of analytics. Its stated purpose is not narrow technical specialization, but a grounded overview that connects analytical methods with practical decisions and current developments.
- Amazon USA Store: https://www.amazon.com/dp/B00K2I2JL8?tag=9natree-20
- Amazon Worldwide Store: https://global.buys.trade/Data-Analytics-Made-Accessible%3A-2025-edition-Anil-Maheshwari.html
- Apple Books: https://books.apple.com/us/audiobook/the-neatest-little-guide-to-stock-market-investing/id1522987713?itsct=books_box_link&itscg=30200&ls=1&at=1001l3bAw&ct=9natree
- eBay: https://www.ebay.com/sch/i.html?_nkw=Data+Analytics+Made+Accessible+2025+edition+Anil+Maheshwari+&mkcid=1&mkrid=711-53200-19255-0&siteid=0&campid=5339060787&customid=9natree&toolid=10001&mkevt=1
- Read more: https://english.9natree.com/read/B00K2I2JL8/
#Dataminingtechniques #RandPythontutorials #BigDataandDataLakes #ArtificialIntelligencecontext #Dataownershipandprivacy #DataAnalyticsMadeAccessible
Data Analytics Made Accessible: 2025 edition is an introductory, practitioner-oriented guide to data analytics by Anil Maheshwari, a management and information systems professor. Positioned as a concise and conversational entry point to a fast-changing field, it aims to give students intuition as well as familiarity with major data-mining techniques and analytics platforms. The available description indicates that the edition combines conceptual coverage with concrete examples and tutorials for R and Python, rather than treating analytics solely as a mathematical subject. It also broadens the frame beyond modeling to include Big Data, artificial intelligence, data science careers, data ownership, and privacy. A summary chapter organized around 50 main points appears intended to help readers consolidate the material. The book therefore belongs to the accessible data-science primer genre: it is designed to orient beginners to the vocabulary, tools, uses, and wider responsibilities of analytics. Its stated purpose is not narrow technical specialization, but a grounded overview that connects analytical methods with practical decisions and current developments.
