This guide explores all topics related Data Analytics topics. Use the links at the left to explore the selected library resources. Contact the library for help with research on data analytics topics.
Data Visualization for Dummies by
A straightforward, full-color guide to showcasing data so your audience can see what you mean, not just read about it Big data is big news! Every company, industry, not-for-profit, and government agency wants and needs to analyze and leverage datasets that can quickly become ponderously large. Data visualization software enables different industries to present information in ways that are memorable and relevant to their mission. This full-color guide introduces you to a variety of ways to handle and synthesize data in much more interesting ways than mere columns and rows of numbers. Learn meaningful ways to show trending and relationships, how to convey complex data in a clear, concise diagram, ways to create eye-catching visualizations, and much more! Effective data analysis involves learning how to synthesize data, especially big data, into a story and present that story in a way that resonates with the audience This full-color guide shows you how to analyze large amounts of data, communicate complex data in a meaningful way, and quickly slice data into various views Explains how to automate redundant reporting and analyses, create eye-catching visualizations, and use statistical graphics and thematic cartography Enables you to present vast amounts of data in ways that won't overwhelm your audience Part technical manual and part analytical guidebook, Data Visualization For Dummies is the perfect tool for transforming dull tables and charts into high-impact visuals your audience will notice...and remember.
The Digital Mindset by
The pressure to "be digital" has never been greater, but you can meet the challenge. The digital revolution is here, changing how work gets done, how industries are structured, and how people from all walks of life work, behave, and relate to each other. To thrive in a world driven by data and powered by algorithms, we must learn to see, think, and act in new ways. We need to develop a digital mindset. But what does that mean? Some fear it means that we all need to become technologists who master the intricacies of coding, algorithms, AI, machine learning, robotics, and who-knows-what's-next. That's not the case. You can develop a digital mindset, and this book shows you how. It introduces three approaches--Collaboration, Computation, and Change--and the perspectives and actions within each approach that will enable you to develop the digital skills you need. With a digital mindset, you'll ask the right questions, make smart decisions, and appreciate new possibilities for a digital future. Leaders who adopt these approaches will be able to develop their organization's talent and prepare their company for successful and continued digital transformation. Award-winning researchers and professors Paul Leonardi and Tsedal Neeley will show you how to do it and let you in on the surprising and welcome secret: developing a digital mindset isn't as hard as you think. Most people can become digitally savvy if they follow the "30 percent rule"--the minimum threshold that gives us enough digital literacy to understand and take advantage of the digital threads woven into the fabric of our world. A digital mindset will future-proof you, your career, and your organization. Learn how to develop one here.
Everything data analytics: a beginners guide to data literacy: understanding the processes that turn data into insights by 
A Human's Guide to Machine Intelligence by 
