Lillian Pierson, P.E., fractional CMO and growth strategist, engineers marketing systems that drive predictable growth for tech startups. With a professional engineering license and 20 years of experience driving growth for Fortune 100 and early-stage companies alike, she bridges product and growth marketing to drive real boots-on-the-ground traction. She's trained 2M+ professionals in AI and data, grown organic channels to 750K+ followers, and authored 11 books including Data Science For Dummies. Lillian helps VC-backed and bootstrapped founders (pre-revenue to $6M ARR) scale through structured playbooks and data-driven systems.
It’s not your everyday coding challenge; Call for Code is a global initiative that brings together developers, data professionals, celebrities, humanitarian response agencies, tech influencers,
Call for Code is an empowering cry to developers to drive a long-lasting positive change in the world with their code using their skills and
It’s 2018. Big data has evolved. It’s no longer perceived as the phantasmal mystery it once was. No, big data has matured. Interest and adoption
Market basket analysis in Excel can actually be a lot simpler than it would be in R or Python. However, it still depends on the
The automation of process in business is a very important tool. It’s usage is increasing day-by-day to improve both the service and quality of business
Today’s blog post is an article and coding demonstration that details conjoint analysis in R and how it’s useful in marketing data science. What is
In today’s demo, I am going to teach you about the basics of using WebScraping with Python and BeautifulSoup. You’re going to see the objects that comprise Beautiful Soup, and how to work with them.
If you’ve been following along with the Data-Mania blog recently you’ve already learned why making your own branded space on the web is a game-changer
Many people are already skilled in data science, yet struggle to find a job. This difficulty usually arises from the person’s approach to finding work.
If you’ve been following along with the Data-Mania blog recently, then you’ve learned about the power of branding yourself as a data-driven professional. You’ve seen
If you’re like most people, when you think about the idea of branding yourself as a data-driven professional, your next thought goes something like, “me,
If you’re like most people who work with data on a regular basis, you’re probably hearing about data science as a career change option and
Quickly Learn to Make a Recommendation Engine in Python [Course] Welcome from Introduction to Python Recommendation Systems for Machine Learning by Lillian Pierson,
(Preface: Today’s post is a guest post that was written by Aaron Gendle, a Senior Consultant and Data Architect at Eccella. In this post he
Last Thursday I had the pleasure to work with IBM for their Fast Track Your Data event in Munich, Germany. In 48 sweet hours we
Of These Top 20 Free Analytics Tools My Favorite is (Drum Roll, Please…) Just last week, Sam Scott published a very helpful article called “16 Free
