We use a lot of examples in this book, which seems particularly appropriate considering that the book is all about learning from examples! There are several standard datasets that we will come back to ...

Microarray analysis can be performed to assess differences in gene expression between two different samples. After isolating nucleic acids from the two samples, one sample is labeled with a dye that ...

A little over a decade has passed since The Economist warned us that we would soon be drowning in data. The modern data stack has emerged as a proposed life-jacket for this data flood — spearheaded by ...

In the sustainability realm -- as in other areas of business -- data is key to gaining a competitive edge. More stakeholders are demanding that companies focus on environmental, social and governance ...

An analysis of more than 1000 organizations generating measurable value from data reveals several compelling trends that are influencing the future of data monetization and the future of the economy ...

Any average HR department is rich in data. Personal employee data, recruitment data, and performance KPIs are just a few examples of the kinds of data a typical HR team is sitting on. Now, as our ...

Data modeling best practices help define a formal process that gives structure and direction to an organization’s data. Read more about data modeling now. Data modeling, at its core, is the process of ...

Data extraction is the process of accessing, collecting & importing data. Discover some examples of data extraction tools & how they work here. Most businesses have access to more data than ever ...

There is now broad consensus that data-driven decision-making is essential to success in today’s highly competitive manufacturing environment. Customers’ price ...