@article{1441640,
      recid = {1441640},
      author = {Paczkowski, Walter R.,},
      title = {Business analytics : data science for business problems /},
      pages = {1 online resource (416 pages) :},
      note = {Description based upon print version of record.},
      abstract = {This book focuses on three core knowledge requirements for  effective and thorough data analysis for solving business  problems. These are a foundational understanding of: 1.  statistical, econometric, and machine learning techniques;  2. data handling capabilities; 3. at least one programming  language. Practical in orientation, the volume offers  illustrative case studies throughout and examples using  Python in the context of Jupyter notebooks. Covered topics  include demand measurement and forecasting, predictive  modeling, pricing analytics, customer satisfaction  assessment, market and advertising research, and new  product development and research. This volume will be  useful to business data analysts, data scientists, and  market research professionals, as well as aspiring  practitioners in business data analytics. It can also be  used in colleges and universities offering courses and  certifications in business data analytics, data science,  and market research.},
      url = {http://library.usi.edu/record/1441640},
      doi = {https://doi.org/10.1007/978-3-030-87023-2},
}