000			01966nam a22002297a 4500
005			20240210134230.0
008			240210b |||||||| |||| 00| 0 eng d
020			_a9781800560475
082			_a658.830285 _bBAI
100			_aBaig, Mirza Rahim _914206
245			_aData Science for marketing analytics: _ba practical guide to forming a killer marketing strategy through data analysis with Python
250			_a2nd
260			_bPackt Publishing _aBirmingham _c2021
300			_axxiii, 589 p.
365			_aINR _b2899.00
520			_aUnleash the power of data to reach your marketing goals with this practical guide to data science for business. This book will help you get started on your journey to becoming a master of marketing analytics with Python. You'll work with relevant datasets and build your practical skills by tackling engaging exercises and activities that simulate real-world market analysis projects. You'll learn to think like a data scientist, build your problem-solving skills, and discover how to look at data in new ways to deliver business insights and make intelligent data-driven decisions. As well as learning how to clean, explore, and visualize data, you'll implement machine learning algorithms and build models to make predictions. As you work through the book, you'll use Python tools to analyze sales, visualize advertising data, predict revenue, address customer churn, and implement customer segmentation to understand behavior. By the end of this book, you'll have the knowledge, skills, and confidence to implement data science and machine learning techniques to better understand your marketing data and improve your decision-making. (https://www.packtpub.com/product/data-science-for-marketing-analytics-second-edition/9781800560475)_
650			_aData science _915154
650			_aMarketing analytics _915490
700			_aGovindan, Gururajan _915597
700			_aShrimali, Vishwesh Ravi _915598
942			_cBK _2ddc
999			_c5946 _d5946