Data mining is quickly becoming integral to creating value and business momentum. The ability to detect unseen patterns hidden in the numbers exhaustively generated by day-to-day operations allows savvy decision-makers to exploit every tool at their disposal in the pursuit of better business. By creating models and testing whether patterns hold up, it is possible to discover new intelligence that could change your business's entire paradigm for a more successful outcome.
Data Mining for Dummies shows you why it doesn't take a data scientist to gain this advantage, and empowers average business people to start shaping a process relevant to their business's needs. In this book, you'll learn the hows and whys of mining to the depths of your data, and how to make the case for heavier investment into data mining capabilities. The book explains the details of the knowledge discovery process including:
- Model creation, validity testing, and interpretation
- Effective communication of findings
- Available tools, both paid and open-source
- Data selection, transformation, and evaluation
Data Mining for Dummies takes you step-by-step through a real-world data-mining project using open-source tools that allow you to get immediate hands-on experience working with large amounts of data. You'll gain the confidence you need to start making data mining practices a routine part of your successful business. If you're serious about doing everything you can to push your company to the top, Data Mining for Dummies is your ticket to effective data mining.
Keywords: Data Mining for Dummies; Meta S. Brown; Big Data; Big Data for business; data mining for business; data science; data science for business; data analytics; predictive analytics; data mining tools; open-source data mining software; data mining techniques; data mining for marketing; data communications; data analysis; marketing data tools; knowledge discovery; data scientists; marketing tools; business tools, Data Mining Statistics, Data Mining Statistics