Data Science for Fundraising
Build Data Driven Solutions Using R

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Discover the techniques used by the top R programmers to generate data-driven solutions

Finally, you can equip yourself with these tools and techniques for creating effective solutions to solve numerous challenges the non-profits face today.

It's hardly a news that many for-profit organizations have used data science techniques to become high-performing.  Although the non-profit industry has advanced using CRMs and donor databases, it has not fully explored the data stored in those databases.

Meanwhile, the data scientists, in the for-profit industry, using sophisticated tools, have generated data-driven results and effective solutions for several challenges in their organizations.  One such tool is the programming language R.

Wouldn’t you like to learn these data science techniques to solve fundraising problems?

Regardless of your skill level, you can equip yourself with these data science techniques using R and help your organization succeed.

Have you ever faced any of these challenges before?

  • Experienced frustration while trying to learn R
  • Felt helpless when creating effective and elegant data visualizations
  • Struggled to apply predictive analytics across functional areas
  • Lacked resources to fully explore the power of data
  • Well, you are not alone. We once faced these challenges too.

    After decades of failures and learning, we’ve found the answers to these challenges. But you don't need to spend decades learning; we've summarized it all in this book.


    Why read this book?

    This book will help you understand why analytics is important, how to succeed in data science, and various data science recipes to solve fundraising problems using R.

    By reading this book, you'll save 100s of hours spent on frustrating searches on R and data science. And, this book will get you up to 80 to 90% of knowledge level using step-by-step recipes.


    Get data from various sources

    cleaning data data science fundraising R

    Clean up data

    Change shape of data

    data-manipulation-data-science-fundraising-r

    Create beautiful data visualizations

    map watercolor ggplot ggmap data science fundraising R

    Apply machine learning (yes, deep learning too)

    cluster-analysis-data-science-fundraising

    Mine text data

    text-mining-word-cloud-data-science-fundraising

    Create social network maps

    game of thrones social network data science fundraising r

    Know new trends

    Meet the authors

    Ashutosh Nandeshwar, PhD


    The author of Tableau Data Visualization Cookbook, Ashutosh R. Nandeshwar is one of the few analytics professionals in the higher education industry who has developed analytical solutions for all stages of the student life cycle. He enjoys speaking about the power of data, as well as ranting about data professionals who chase after “interesting” things. He received his PhD/MS from West Virginia University and his BEng from Nagpur University, all in industrial engineering. Currently, he is leading the data science, reporting, and relationship management efforts at the University of Southern California.

    Rodger Devine, MS


    Rodger Devine is a Senior Executive Director at the Dornsife College of Letters, Arts and Sciences College of University of Southern California. He leads a comprehensive fundraising analytics, annual fund and pipeline development program. He earned a MS in information retrieval and analysis from the School of Information at University of Michigan.