Clean, reliable data is the foundation of sound analysis. Explore the eight critical steps in a data workflow, from gathering and verifying data integrity to building impactful end products. Elevate your data quality and analysis game today
It may seem like an obvious point, but it is hard to overemphasize the importance of keeping your own inventory […]
Today’s Data Hack Tuesday tip may seem obvious, but is too often overlooked. Before analyzing data for any project, it […]
We all know the old saying: data scientists spend 80% of their time cleaning and manipulating data and only 20% […]
We have a simple tip for today to help evaluate models and avoid overfit. Start by separating your data into […]
Looking for an easier way to find and eliminate errors in Jupyter? Don’t forget about the interactive debugger. If you’re […]
Did you know that Pandas has a built-in .plot() function as part of the DataFrame class? The trouble is that […]
The past few weeks have turned a slow waltz through the economic prosperity of early 2020 to a frenetic, improvised […]
This is a free webinar designed for nonprofits looking for an introduction on how to collect data, analyze it, and manage it.
Businesses in every industry and of all sizes collect data: client orders, delivery schedules, financial information, inventory records, and countless other categories. Here are five easy ways for business owners to make the most of this data.