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Articles & Books From Data Science
Become data-savvy with the widely used data and AI software Data and analytics are essential for any business, giving insight into what's working, what can be improved, and what else needs to be done. SAS software helps you make sure you're doing data right, with a host of data management, reporting, and analysis tools.
Cheat Sheet / Updated 04-14-2025
The field of SAS and SAS programming has evolved over nearly 50 years, leading to the development of various shorthand techniques. These techniques may not be immediately apparent to new SAS users, but they become clear with learning and practice. Use the tips here to get a head-start and accelerate your initiation to SAS.
Feel confident navigating the fundamentals of data science Data Science Essentials For Dummies is a quick reference on the core concepts of the exploding and in-demand data science field, which involves data collection and working on dataset cleaning, processing, and visualization. This direct and accessible resource helps you brush up on key topics and is right to the point—eliminating review material, wordy explanations, and fluff—so you get what you need, fast.
Cheat Sheet / Updated 04-12-2024
A wide range of tools is available that are designed to help big businesses and small take advantage of the data science revolution. Among the most essential of these tools are Microsoft Power BI, Tableau, SQL, and the R and Python programming languages.Comparing Microsoft Power BI and ExcelMicrosoft markets Power BI as a way to connect and visualize data using a unified, scalable platform that offers self-service and enterprise business intelligence that can help you gain deep insights into data.
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.
Article / Updated 12-01-2023
Getting the most out of your unstructured data is an essential task for any organization these days, especially when considering the disparate storage systems, applications, and user locations. So, it’s not an accident that data orchestration is the term that brings everything together.Bringing all your data together shares similarities with conducting an orchestra.
Article / Updated 07-27-2023
In growth, you use testing methods to optimize your web design and messaging so that it performs at its absolute best with the audiences to which it's targeted. Although testing and web analytics methods are both intended to optimize performance, testing goes one layer deeper than web analytics. You use web analytics to get a general idea about the interests of your channel audiences and how well your marketing efforts are paying off over time.
Article / Updated 07-24-2023
In 2008, Bitcoin was the only blockchain implementation. At that time, Bitcoin and blockchain were synonymous. Now hundreds of different blockchain implementations exist. Each new blockchain implementation emerges to address a particular need and each one is unique. However, blockchains tend to share many features with other blockchains.
Cheat Sheet / Updated 07-24-2023
Blockchain technology is much more than just another way to store data. It's a radical new method of storing validated data and transaction information in an indelible, trusted repository. Blockchain has the potential to disrupt business as we know it, and in the process, provide a rich new source of behavioral data.
Article / Updated 06-09-2023
If statistics has been described as the science of deriving insights from data, then what’s the difference between a statistician and a data scientist? Good question! While many tasks in data science require a fair bit of statistical know how, the scope and breadth of a data scientist’s knowledge and skill base is distinct from those of a statistician.