Название: Data Analytics & Visualization All-in-One For DummiesАвтор: Jack Hyman, Luca Massaron, Paul McFedries
Издательство: For Dummies
Год: 2024
Страниц: 835
Язык: английский
Формат: pdf (true), epub (true)
Размер: 39.8 MB, 27.3 MB
Install data analytics into your brain with this comprehensive introduction.
Data Analytics & Visualization All-in-One For Dummies collects the essential information on mining, organizing, and communicating data, all in one place. Clocking in at around 850 pages, this tome of a reference delivers eight books in one, so you can build a solid foundation of knowledge in data wrangling. Data analytics professionals are highly sought after these days, and this book will put you on the path to becoming one. You'll learn all about sources of data like data lakes, and you'll discover how to extract data using tools like Microsoft Power BI, organize the data in Microsoft Excel, and visually present the data in a way that makes sense using a Tableau. You'll even get an intro to the Python, R, and SQL coding needed to take your data skills to a new level. With this Dummies guide, you'll be well on your way to becoming a priceless data jockey.
Data science is the person behind the partition in the experience of the wonderment of technology. Without data science, much of what you accept as typical and expected today wouldn’t even be possible. This is the reason that being a data scientist is one of the most interesting jobs of the 21st century. Python is uniquely suited to making it easier to work with data science. For one thing, Python provides an incredible number of math-related libraries that help you perform tasks with a less-than-perfect understanding of precisely what is going on. However, Python goes further by supporting multiple coding styles (programming paradigms) and doing other things to make your job easier. Therefore, yes, you could use other languages to write data science applications, but Python reduces your workload, so it’s a natural choice for those who really don’t want to work hard but rather to work smart.
• Mine data from data sources
• Organize and analyze data
• Use data to tell a story with Tableau
• Expand your know-how with Python and R
New and novice data analysts will love this All-in-One reference on how to make sense of data. Get ready to watch as your career in data takes off.
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