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Articles & Books From Lillian Pierson
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 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 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.
Cheat Sheet / Updated 09-24-2021
"Data science" is the big buzzword these days, and most folks who have come across the term realize that data science is a powerful force that is in the process of revolutionizing scores of major industries. Not many folks, however, are aware of the range of tools currently available that are designed to help big businesses and small take advantage of the data science revolution.
Monetize your company’s data and data science expertise without spending a fortune on hiring independent strategy consultants to help What if there was one simple, clear process for ensuring that all your company’s data science projects achieve a high a return on investment? What if you could validate your ideas for future data science projects, and select the one idea that’s most prime for achieving profitability while also moving your company closer to its business vision?
Article / Updated 04-18-2017
Although data science for crime analysis has a promising future, it's not without its limitations. The field is still young, and it has a long way to go before the bugs are worked out. Currently, the approach is subject to significant criticism for both legal and technical reasons.
Caving in on civil rights
The legal systems of western nations such as the United States are fundamentally structured around the basic notion that people have the right to life, liberty, and the pursuit of property.
Article / Updated 04-18-2017
Data science in e-commerce serves the same purpose that it does in any other discipline — to derive valuable insights from raw data. In e-commerce, you're looking for data insights that you can use to optimize a brand's marketing return on investment (ROI) and to drive growth in every layer of the sales funnel.
Article / Updated 04-18-2017
Before getting into the nitty-gritty of how you can begin using web analytics, testing tactics, and segmentation and targeting initiatives to ignite growth in all layers of your e-commerce sales funnel, you first need to understand the fundamental structure and function of each layer in a sales funnel.In keeping with a logical and systematic approach, the e-commerce sales funnel can be broken down into the following five stages: acquisition, activation, retention, referral, and revenue.
