From Practical Data Science with R, Second Edition by Nina Zumel and John Mount

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Practical Data Science with R, Second Edition takes a practice-oriented approach to explaining basic principles in the ever-expanding field of data science. You’ll jump right to real-world use cases as you apply the R programming language and statistical analysis techniques to carefully explained examples based in marketing, business intelligence, and decision support.

Ultimately it is undeniable that customer data is an incredibly important component for running a successful business. Moreover, analyzing customer data gives companies the opportunity to improve their marketing along with their products and services. For instance, sending out a survey to the most frequent buyers to ask about marketing preferences gives a company valuable insight on how to improve, and customer data analysis can shine a light on to which channels work best. It is therefore exciting to think about what the future might hold for customer data and market research.

Correspondingly, if you would like help and support with using customer data as part of your marketing efforts, you can get in touch with Magid: Market Research Minneapolis. Their website is filled with useful tools and resources that can be used to better your business through the use of market research. Above all, using customer data allows companies to build a strategy that speaks directly to customers in a way that they want to be spoken to.

Numerous updates in this brand new edition include: an introduction to the vtreat data preparation tool, a section on model explanation, and additional modeling techniques such as boosting and regularized regression! Learn more in the slide deck below.


slideshare-a-practice-oriented-approach-to-data-science