Data Science for Fundraising: Build Data-Driven Solutions

Data Science for Fundraising: Build Data-Driven Solutions Using R
Discover the techniques used by the top R programmers to generate data-driven solutions.

There's a reason why data scientists are in a high-demand.

It is because these data scientists, using sophisticated tools, have generated data-driven results and effective solutions for several challenges in their organizations.

Yet two problems remain:
1. Hiring managers can't find enough of quality data scientists
2. Eager learners can't find one single resource to get started
Wouldnâ€™t you like to make it easy for the hiring managers by learning these skills at one place?

After reading Data Science for Fundraising, using fundraising data as a case study, you can:

âœ” Begin your data science journey with R
âœ” Import data from Excel, text and CSV files, and databases, such as sqllite and Microsoft's SQL Server
âœ” Apply data cleanup techniques to remove unnecessary characters and whitespace
âœ” Manipulate data by removing, renaming, and ordering rows and columns
âœ” Join data frames using dplyr
âœ” Perform Exploratory Data Analysis by creating box-plots, histograms, and Q-Q plots
âœ” Understand effective data visualizationÂ principles, best practices, and techniques
âœ” Use the right chart type after understanding the advantages and disadvantages of different chart types
âœ” Create beautiful maps by ZIP code, county, and state
âœ” Overlay maps with your own data
âœ” Create elegant data visualizations, such as heat maps, slopegraphs, and animated charts
âœ” Become a data visualization expert
âœ” Create Recency, Frequency, Monetary (RFM) models
âœ” Build predictive models using machine learning techniques, such asÂ K-nearest neighbor, Naive Bayes, decision trees, random forests, gradient boosting, and neural network
âœ” Build deep learning neural network models using TensorFlow
âœ” Predict next transaction amount using regression and machine learning techniques, such as neural networks and quantile regression
âœ” Segment prospects using clustering and association rule mining
âœ” Scrape data off the web and create beautiful reports from that data
âœ” Predict sentiment using text mining and Twitter data
âœ” Analyze social network data using measures, such as betweenness, centrality, and degreesÂ
âœ” Visualize social networks by building beautiful static and interactive mapsÂ
âœ” Learn the industry-transforming trends

Regardless of your skill level, you can equip yourself and help your organization succeed with these data science techniques using R.
Country USA
Manufacturer Data Insight Partners LLC
Binding Kindle Edition
ReleaseDate 2018-03-03
Format Kindle eBook

Country	USA
Manufacturer	Data Insight Partners LLC
Binding	Kindle Edition
ReleaseDate	2018-03-03
Format	Kindle eBook

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

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

After reading Data Science for Fundraising, using fundraising data as a case study, you can:

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

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