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.
Data Science Career Path – Core Skill Sets For KILLER OPPORTUNITIES // Looking to grow and advance in your data science career? Watch the video
Learning Python for Data Science can really go a long way in elevating your career potential, but at first – learning to code can seem
Data science is one of the most useful skills you can learn today. The Bureau of Labor Statistics expects data scientist positions to grow 22%
MEMORABLE QUOTES FROM THE EPISODE: [00:13:05] “If you’re an implementation person and you love implementing, that’s awesome because you don’t have to learn the people
I’m sure you’ve seen tons about “omnichannel analytics,” when you’re looking at web analytics jobs in the marketing data space, but you may not be
What is Clubhouse App? Let me guess. You’ve been hearing LOTS about Clubhouse and you’re wondering what all the fuss is all about? In today’s
Are you wondering what are the reasons NOT to become a data analyst? So, you’ve heard a lot about the “Data Analyst” job and you’re
Are you looking to learn data science fast so you can rein in some incredible new career opportunities? In this article, I am going to
Data Scientist vs Data Analyst – which role should you really go after?! In this article, you’re going to get all the insider information about
Here’s the thing about the 4 types of data analytics – If you’re new to the data field then you may be curious about the
In a world of GPT-3 AI-generated content, are writers even needed? In a recent business experiment, I set out to answer this question. If you’re
What are the differences between Metrics, KPIs and Key Results? If you’re out here swinging terms like these, but you’re not actually 100% confident on
Evergreen data migration strategy – what does it have to do with you getting promoted as a data professional? LOTS, actually. Well, depending on your
What are the risks in data privacy and how can we ensure a more ethical use of data? In today’s article, I’ll be discussing data
Day in the Life of a DATA SCIENTIST *THAILAND EXPAT edition* // Wondering what a day in the life of a data scientist looks like?
You’re a data professional who’s curious about possibly stepping up into a data product manager position? Amazing! Keep reading so you can discover what the
Data analyst vs data scientist vs data engineer – deciding whether you should pursue any of these three roles? In this article, I’m going to
Improve sales, reduce churn, and increase ROI by scoring and prioritizing your sales and marketing channels based on their performance. This tactical blog post instructs on how to get it done.
How long does it take to learn how to code? Not long (at all). In this brief post, I’m going to pretend as if I
Curious about what a data product manager does on a daily basis? Sweet! I’ve been managing data products since 2012 and, in this post, I’m
In the world of data science, skills are constantly changing and evolving. Lillian shares insight into how mentorship can help you to develop and hone
