Analytics & AI for Modern Excel
When many hear "data analytics" these days, they think of graphical user interface (GUI)-driven business intelligence (e.g. Tableau), data warehousing (e.g. Snowflake), or data preparation (e.g. …
Continue Reading about Why data analysts should learn to code →
Technical books are curious in a lot of ways, including this one: most technical authors don't typically teach or write for a living. They're technicians who happen to write a book. That means that …
Continue Reading about The learning theories behind Advancing into Analytics →
This event has concluded. Thank you to Danielle Stein Fairhurst for hosting and everyone for attending. A recording of the event follows and all materials are available at the GitHub repo. Dates …
Continue Reading about Advancing into Analytics: Financial Modelling in Excel Meetup (Australia) →
This event has concluded. Thanks again to hosts Alan Murray and Tea Kuseva and everyone who attended. A recording of the session follows: I'm pleased to share that I'll be presenting to the …
Continue Reading about Advancing into Analytics: London Excel Meetup, June 23rd, 2021 →
In September 2019, McKinsey Quarterly released an article titled, "The analytics academy: Bridging the gap between human and artificial intelligence." When McKinsey (a "Big Three" management …
Continue Reading about What McKinsey gets right and wrong about the “analytics academy” →
Excel is arguably the world's largest coding community, with 750 million users worldwide. Many of us, myself included, get introduced to the data world from Excel. But the thing is... Excel is not …
Continue Reading about Why most “coding for spreadsheet users” training fails →
