What You Need to Know about Data Mining and Data-Analytic Thinking Kindle Edition
Written by renowned data science experts Foster Provost and Tom Fawcett,
Data Science for Business introduces the basic principles of data data, and directs you to the “data research thinking” needed to extract useful information and business value from the data you collect. This guide also helps you understand many of the data mining techniques used today.
Based on an MBA course Provost has taught at New York University over the past decade, Data Science for Business provides examples of real-world business problems to illustrate these principles.
You will not only learn how to improve communication between business stakeholders and data scientists, but also how to actively participate in your company’s data science projects. You will also find out how to think about data analysis, and fully understand how data science methods can support business decisions.
Understand how the science of data fits into your organization –
and how you can use it to gain competitive advantage
Manage data as a business asset that requires careful investment if you want to get real value
Get closer to business problems by analyzing data, using the data mining process to collect good data in an efficient way
Learn general concepts for extracting information from data
Use data science principles when interviewing data science career nominees
These books are best to learn data science,
by reading these books you know the concepts of data science,
these helps you so much if you know nothing about data science.
what is use of data science
A Data Scientist will look at the data from many angles, sometimes angles not known earlier.
So, Data Science is primarily used to make decisions and predictions making use of predictive causal analytics,
prescriptive analytics (predictive plus decision science) and machine learning.