Data analytics trends, latest news, upcoming workshops, and more

AI Ethics: Building Trust by Following Ethical Practices (Part 2)

This article is by Colin Priest and originally appeared on the DataRobot Blog here:

In our first blog post on the topic of AI Ethics, we covered the promise that artificial intelligence (AI)holds to improve the speed, accuracy, and operations of businesses across a range of industries.

2019.3: You.Release

This article is by Russell Christopher and originally appeared on the Alteryx Analytics Blog here:


During the Inspire conference in Nashville this past June, we collected an immense amount of feedback from thousands of analysts, data scientists and data driven decision makers about making the analytics experience better in current and future products.


This article is by Patrik Lundblad and originally appeared on the Qlik Blog here:


It’s usually called Trellising in most software, but it also has some other names. Therefore, you may be more familiar with it if I would call it small multiples, lattice, grid or panel.

Web Scraping, will it Alteryx?

This article is by David Ha and originally appeared on the Alteryx Engine Works Blog here:

Will it Alteryx?
Starting your web scraping journey with BeautifulSoup and the Python tool takes no time at all.

How Do You Define Unfair Bias in AI?

This article is by Colin Priest and originally appeared on the DataRobot Trusted AI Blog here:


Art is subjective and everyone has their own opinion about it. When I saw the expressionist painting Blue Poles, by Jackson Pollock, I was reminded of the famous quote by Rudyard Kipling, “It’s clever, but is it Art?” Pollock’s piece looks like paint messily spilled onto a drop sheet protecting the floor.

Free Resources for Learning Data Science

This article is by Sydney Firmin and originally appeared on the Alteryx Data Science Blog here:

Courses in Mathematics, Machine Learning, Programming, and Data Science
Having a solid foundation in mathematics and computer science will only make you a stronger analyst and data scientist.

Livewired vs. Hardwired Data

In the digital age, business users need analytics tools that surface anomalies, the unexpected connections in the data. Unfortunately, these unexpected connections would not be seen if the analytics tool uses a relational data layer, where the data is connected by a human based on pre-canned business questions.