Bøger af Ashutosh R Nandeshwar

Why don't some people advance in their careers as fast as others? It's not because they aren't hard-working. It's because they don't know the unsaid expectations of their organizations.SOAR: How to Become Extraordinary and Successful in Your Career explores the intersection of learning, creativity, and opportunity. It shares a framework that, if followed diligently, will increase one's chances of standing out and succeeding in their career. Here, you will find tactical steps along with helpful anecdotes. In this book, you'll hear stories such as:How a college-going immigrant to the US created opportunities for himselfHow a woman rejected from the science field became the chair of a science departmentHow a young boy humiliated for his lisp became the world champion of public speakingi Learn about the value of choosing complementary skills and resources to create opportunities and discover concrete steps you can take to soar in your career. A no-fluff book, Ashutosh Nandeshwar's SOAR speaks to early career professionals in the information economy who want to look at careers and success differently.

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.Wouldn't 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 Microsoft's 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.