
A Self-Taught Data Product Manager Curriculum – Best Books to Read to GET THE JOB
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
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.

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

The disciplines and subdisciplines of data are complex and often overlaid. Data analysis, engineering, and science are foundational concepts, while data modeling refers to the

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

Looking for best options for affordable tools for successful data forecasting in 2021? Read on to see our top 3 picks! Developments in AI and

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

You don’t need to be a marketing expert or data scientist to see firsthand the shift in mindset among consumers in the online space. In

In your steps towards a data-driven AI approach, this blog post will expose you to the following concepts – what is synthetic data, what is

Curious to know what types of business data are out there? Keep reading to learn more about the 4 types of data and how to

If you’re responsible for selecting an analytics tool to help your data project or product achieve a strong ROI, then this article is for you.

In this episode, Lillian touches on the exponential growth the data science industry has had in the past few years and shares how hard it

If you’re like most data professionals, you are still scratching your head about the decentralized web, or “Web 3.0”. You are also thinking about whether

Today we are going to talk about the data product manager resume and what you need to do to land the interview and get hired

In this quick introductory blog post, you’ll see what marketing mix modeling is. You’ll also learn how you can use it to increase the profitability

The business world is becoming increasingly data-driven, and modern organizations need to keep up with the latest trends to remain competitive. Big data may seem

Organizations constantly gather and store personal data, and this has far-reaching implications on the lives of individuals and communities. For this reason, governments and industries

Why is data destruction important? Here’s why… Data has become an important treasure to malicious entities, who may want to misuse it for their profit

If your busy schedule as a data professional has you a little behind the eight-ball with respect to what’s happening in the NFT scene –

The Women in AI Trailblazers series is a partnership between Discovering Data and Women in AI (WAI). This initiative showcases global data leaders and invites

Discover your inner data superhero and what data career path makes the most sense for YOU, because thriving as a data professional is about more