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Cracking the Project Management Interview

Cracking the Project Manager Interview is designed to help you land your ideal project management job. The book's unique two-part organization helps you through the job application process, the interviewing process, job training, and everything in between! In Part I you will learn the ins and outs of the interviewing process: how to get your application noticed, how to prepare for the interview, how to uncover hints in an interviewer's questions, and more. Part II is an extensive review of what you need to know in order to ensure success in your interview. This section includes an overview of fundamental of project management and techniques, providing a quick review for those about to go into an interview, and for those considering project management as a profession, it is a great resource to know what you will need to learn. The book provides practice interview questions and solutions, so readers can go into their interviews confidently. In addition to interview tips and tricks, readers will learn how to sell their value and determine if they fit within a specific organization. Project managers will be given an overview of the hiring process, a detailed walk-through of the various project manager careers available to them, and all the information necessary to identify and pursue their ideal career.

Efficient R Programming

There are many excellent R resources for visualization, data science, and package development. Hundreds of scattered vignettes, web pages, and forums explain how to use R in particular domains. But little has been written on how to simply make R work effectively—until now. This hands-on book teaches novices and experienced R users how to write efficient R code. Drawing on years of experience teaching R courses, authors Colin Gillespie and Robin Lovelace provide practical advice on a range of topics—from optimizing the set-up of RStudio to leveraging C++—that make this book a useful addition to any R user’s bookshelf. Academics, business users, and programmers from a wide range of backgrounds stand to benefit from the guidance in Efficient R Programming. Get advice for setting up an R programming environment Explore general programming concepts and R coding techniques Understand the ingredients of an efficient R workflow Learn how to efficiently read and write data in R Dive into data carpentry—the vital skill for cleaning raw data Optimize your code with profiling, standard tricks, and other methods Determine your hardware capabilities for handling R computation Maximize the benefits of collaborative R programming Accelerate your transition from R hacker to R programmer