Data Science for Fundraising: Build Data-Driven Solutions Using R

Discover the techniques used by the top R programmers to generate data-driven solutions.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.Wouldnt you like to learn these data science techniques to solve fundraising problems?After reading Data Science for Fundraising you can: ✔ Begin your data science journey with R ✔ Import data from Excel text and CSV files and databases such as sqllite and Microsofts SQL Server ✔ Apply data cleanup techniques to remove unnecessary characters and whitespace ✔ Manipulate data by removing renaming and ordering rows and columns ✔ Join data frames using dplyr ✔ Perform Exploratory Data Analysis by creating box-plots histograms and Q-Q plots ✔ Understand effective data visualization principles best practices and techniques ✔ Use the right chart type after understanding the advantages and disadvantages of different chart types ✔ Create beautiful maps by ZIP code county and state ✔ Overlay maps with your own data ✔ Create elegant data visualizations such as heat maps slopegraphs and animated charts ✔ Become a data visualization expert ✔ Create Recency Frequency Monetary (RFM) models ✔ Build predictive models using machine learning techniques such as K-nearest neighbor Naive Bayes decision trees random forests gradient boosting and neural network ✔ Build deep learning neural network models using TensorFlow ✔ Predict next transaction amount using regression and machine learning techniques such as neural networks and quantile regression ✔ Segment prospects using clustering and association rule mining ✔ Scrape data off the web and create beautiful reports from that data ✔ Predict sentiment using text mining and Twitter data ✔ Analyze social network data using measures such as betweenness centrality and degrees ✔ Visualize social networks by building beautiful static and interactive maps ✔ Learn the industry-transforming trendsRegardless of your skill level you can equip yourself and help your organization succeed with these data science techniques using R.