Sherry asks, “What sets apart a good data science course? What should I look for in the curriculum?” Great question, and an important one in today’s world when companies are offering “crash courses” and “become a data scientist in X weeks”. Would you feel comfortable going to someone who did the “crash course in surgery”…
Nathan asks, “Do you see a place for human contributions still in predictive analytics even with A.I. taking over?” There are indeed still reasons for humans to play a role in predictive analytics. Watch the video to learn the three most important reasons, and especially why more seasoned, experienced professionals are essential to the data…
In this edition of You Ask, I Answer, we tackle 20 short questions that have piled up in my inbox, questions that don’t need an entire episode to themselves. Watch the video for answers about SEO, secure websites, WordPress, growth hacking, and more. Alysia asks, “Would you, as a hiring manager, favor someone with a…
Parker asks, “Why is my direct traffic so large in Google Analytics? Are people really typing my website in that much?” In this video, I review the top 10 causes of direct traffic misattribution in Google Analytics™, including 4 causes that are under your control and fixable. You’ll learn what direct traffic is, why it…
Peter asks, “Do you know any good case studies, examples how to promote a company when it’s still in a stealth mode and is preparing to launch (for promoting it as soon as it’s out of the stealth mode)?” The key to a successful launch is all about audience. Learn what I did to help…
Jason asks, “Is there a more modern version of the Moz Search Graph to better understand SEO strategy?” The Moz Search Graph is now badly out of date, almost a decade. So much has changed in search – personalization of results, the rise of the smartphone, position zero – you name it, it’s changed about…
Updated: Watch this video for more in-depth explanation of 5 different scenarios. One of the axioms of statistics is, “correlation is not causation”, meaning that just because two data variables move together in a relationship does not mean one causes the other. The most common textbook example of this axiom is that consumption of ice…
Melissa asks, as part of the IBM #WinWithAI Summit: “How can enterprises be proactive about data privacy and regulation?” Want to know why we’re having conversations about data privacy and regulation? It’s because marketing has no governance. It’s the Wild West, with CMOs buying every technology available and no one conducting the orchestra. Marketers need…
