Data Science Texts

Discover what you don't know, and attack your weaknesses!

Basic Communication

Strongly Recommended Prerequisites

Recommended Prerequisites

It's said that a bad idea is doomed in 6 months, but a good idea, poorly communicated, is doomed immediately. Communication is a large component of any data scientist's job, but is one of the hardest to learn and it can always be improved. Since communication is so important for a variety of fields, there are many great and inexpensive books from which to learn.

Recommended Books

  1. How to Win Friends and Influence People

    Dale H. Carnegie

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    Key Topics

    • Arguments
    • Changing People Without Them Resenting You
    • Criticism
    • Good First Impressions
    • Handling People
    • Making People Like You
    • Winning People to Your Way of Thinking

    Description

    One of the most frustrating aspects of being a data scientist is that you will frequently require resources to do your job that are not under your control. Whether it's access to data, computational, or personnel resources, you're going to have to convince someone to give it to you. This book contains obvious but generally ignored advice for how to do so. In terms of time spent, there probably is nothing you can do to increase your productivity as much as mastering the techniques in this book.

  2. On Writing Well

    William K. Zinsser

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    Key Topics

    • Avoiding Clutter
    • Business Writing
    • Humor
    • Nonfiction
    • Science and Technology Writing
    • Simplicity
    • Style
    • Writing for Yourself

    Description

    This book purports to be about writing, but the advice it gives is useful for any kind of nonfiction presentation. Often, the success of months of data science work is determined by a short presentation, be it a written report or a slideshow. Thus, it greatly behooves the data scientist to focus some effort on polishing that presentation based on the excellent advice given in this classic book.