The first step of deep analysis using the Team Data Science Process is to find the right question. From there, we need to determine where the data you need lives, or even if you have it. If we don’t have it, we need to get it – a topic I’ll cover in another post. The … Continue reading Data Wrangling – Regular Expressions
In Data Science, we most often use Extract, Load and Transform (ELT) as opposed to Extract, Transform and Load (ETL) that you see most often in Business Intelligence (BI). There are a couple of reasons for this. First, in many BI solutions you have a few data sources that you are integrating into a historical … Continue reading Data Wrangling – ELT not ETL
I’ve explained in other articles that Data Science is not a replacement for other data technologies, it’s a continuation of the data analytics process. So if Data Science is used in analytics of large sets of data, how does it differ from Business Intelligence (BI), which is also used to analyze large sets of data? … Continue reading What is the main difference between Business Intelligence and Data Science?
Processes are great things. They give you a place to start, a roadmap, and a way to explain to your stakeholders (like customers) what you’re going to do and the order you’ll do it. In addition, a process compresses information into shorter information so that you can “peg” it as you work through it. Then … Continue reading The Keys to an Effective Data Science Project – Part 1: The Team Data Science Process
Want to learn more about analyzing data? You’re in the right place. Data turns into information, which turns into knowledge, which turns into Wisdom. And Wisdom is the Principal Thing (P-Value). Let’s get started – Start Here – Learning Data Science Title Description Prepping for learning Data Science Start here to begin your journey into … Continue reading About