Too busy to spend hours trying to learn the fundamentals of social media marketing? This is the book for you! Mark Schaefer, author of the best-selling books “Return On Influence” and “The Tao of Twitter” unravels the most misunderstood and confusing business trend in this fun and easy-to-read book. “Social Media Explained” explores the fundamental strategies and answers the biggest questions every business professional needs to answer before diving into a social media initiative! This is the must-have guide for understanding the sociological and psychological drivers that make social media marketing work.
Welcome to the age of data. No matter your interests (sports, movies, politics), your industry (finance, marketing, technology, manufacturing), or the type of organization you work for (big company, nonprofit, small start-up)—your world is awash with data.
As a successful manager today, you must be able to make sense of all this information. You need to be conversant with analytical terminology and methods and able to work with quantitative information. This book promises to become your “quantitative literacy” guide—helping you develop the analytical skills you need right now in order to summarize data, find the meaning in it, and extract its value.
Featuring real-life examples and providing effective solutions that foster understanding of research procedures in real-life contexts, the book offers a simple but highly effective model for approaching action research: Look: building a picture and gathering information, Think: interpreting and explaining, and Act: resolving issues and problems. Using his own experience as a guide, Stringer encourages readers to grapple with the broader political and ethical challenges that frame each inquiry. The author’s engaging style makes the book especially relevant to those working with children, young adults, or people in community contexts, and is particularly relevant to those dealing with issues of diversity or with marginalized and disenfranchised groups. Clear, concise, and practical, Stringer’s accessible and engaging book is a must for students and professionals in educational, business, health, counseling, and social work settings.
Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the “data-analytic thinking” necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today.
Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making.
Data Science gets thrown around in the press like it’s magic. Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. It’s a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions.
But how does one exactly do data science? Do you have to hire one of these priests of the dark arts, the “data scientist,” to extract this gold from your data? Nope.
Data science is little more than using straight-forward steps to process raw data into actionable insight. And in Data Smart, author and data scientist John Foreman will show you how that’s done within the familiar environment of a spreadsheet.
Using the open source R language, you can build powerful statistical models to answer many of your most challenging questions. R has traditionally been difficult for non-statisticians to learn, and most R books assume far too much knowledge to be of help. Drawing on his unsurpassed experience teaching new users, professional data scientist Jared P. Lander has written the perfect tutorial for anyone new to statistical programming and modeling. Organized to make learning easy and intuitive, this guide focuses on the 20 percent of R functionality you’ll need to accomplish 80 percent of modern data tasks. By the time you’re done, you won’t just know how to write R programs, you’ll be ready to tackle the statistical problems you care about most.
Predictive analytics is a branch of data mining that helps predict probabilities and trends. Predictive Analytics For Dummies explores the power of predictive analytics and how you can use it to make valuable predictions for your business, or in fields such as advertising, fraud detection, politics, and others. This practical book does not bog you down with loads of mathematical or scientific theory, but instead helps you quickly see how to use the right algorithms and tools to collect and analyze data and apply it to make predictions.