دانلود کتاب تجزیه و تحلیل داده ها و بصری سازی

Everywhere you go in the business world, you are likely to encounter executives who make decisions driven by tidbits of raw data that together tell a meaningful story. In fact, in our everyday worlds, websites and mobile apps express data using powerful visualizations to explain complex numbers and concepts, not extensive written passages anymore. The phrase “a picture speaks a thousand words” rings true in the world of data analytics and visualization, and for good reason. Data analytics and visualization allow anyone to turn raw data into meaningful stories and insights. You, as the analyst, act as the detective. Instead of having to solve a mystery with clues, you are provided datasets that, if provided with enough clarity, can answer complex questions using trend and pattern analysis. If you review a dataset enough, you’ll inevitably have an ah-ha moment in your interpretation quest, but if the dataset can be presented visually, you can accelerate your understanding like a racecar going from 0 to 100 miles per hour in seconds. Data analytics and visualization help you uncover creative ways to showcase data in a manner that is both informative and engaging. Data often starts out as nothing more than a bunch of jumbled numbers; turning those numbers into a story that can influence decisions and drive change is incredibly powerful. Global enterprises rely on folks who have the skills you are about to embark on in this book as a way to determine business strategies, make corporate decisions, and influence change. If you are ready to learn these skills, you are in for a treat with this book. If you’ve picked up this book, you might be on a quest to piece together a whole lot of terms being thrown around in the information economy regarding data, the most precious tool in the information economy. Data is a business asset that sits at the intersection of many disciplines; the resultant product from data can be methodologies, processes, algorithms, and system outputs. To the end user though, the end game is extracting knowledge and insights from the byproducts of data, and taking action upon review. Book 1 covers the foundational aspects of the data analytics and visualization lifecycle that every user must understand to be proficient as an analytics and visualization savvy. Books 2 and 3 focus on the two leading tools in the enterprise business intelligence market used to perform complex data analytics and visualization tasks; Microsoft Power BI and Tableau. Books 4 through 6 cover the key programming languages used by both proprietary and open-source data analytics and visualization platforms to extract, assess, and visualize data at scale when commercial off-the-shelf enterprise business platforms are unavailable.