Data Analytics Workouts

This is a repost of a Goodreads' review I made in 2013, for a book I read in 2005, which seems relevant now, as the industry is adding a data-driven focus. Plus, the world is now being transformed by advances in artificial intelligence and machine learning (AI/ML), particularly deep learning, and the large data sets and complexity of donor actions should greatly benefit from analysis. Note, the tax changes for 2018 and beyond will increase the importance of major donors, attenuating the benefits of AI/ML, as data for high-net-worth individuals is sparse. Data Mining for Fund Raisers: How to Use Simple Statistics to Find the Gold in Your Donor Database Even If You Hate Statistics: A Starter Guide by Peter B. Wylie My rating: 4 of 5 stars My spouse, at times a development researcher of high-net worth individuals, was given this book because she was the 'numbers' person in the office. Since my undergraduate was focused on lab-design, including analysis of results using ...

To prepare for further exploration in data analytics, and give myself some time to absorb R, I decided to work in Python for a while. For this, I worked through Computational Statistics in Python module Introduction to Python . These are some of the code produced to solve the exercises: # Tutorial Answers """http://people.duke.edu/~ccc14/sta-663/IntroductionToPythonSolutions.html""" """1. Solve the FizzBuzz problem “Write a program that prints the numbers from 1 to 100. But for multiples of three print “Fizz” instead of the number and for the multiples of five print “Buzz”. For numbers which are multiples of both three and five print “FizzBuzz”.""" def fizz_buzz(begin, end): """Write a program that prints the numbers from 1 to 100. But for multiples of three print “Fizz” instead of the number and for the multiples of five print “Buzz”. For numbers which are multi...