7 Fast-Growing Data & AI Careers (And How You Can Get Started Today)
Explore seven fast-growing data and AI careers and learn how to break in—no degree required. Discover the skills, tools, and mindsets to succeed today.
Author: andrew2.nicoll@gmail.com
Spotify Knows Your Mood: How Personalization Became Its Superpower
Spotify has built hundreds of millions of personalized music experiences using generative algorithms, listening behavior, and deep pattern analysis. Discover how it turns data into delight—and keeps you coming back.
How Codebreakers Used Data to Help Win World War II
Discover how a team of mathematicians and logicians at Bletchley Park used data, pattern recognition, and early computing to crack the German Enigma code—shortening WWII by years and laying the groundwork for modern data science.
How Target Predicted a Teen’s Pregnancy—And the Data Ethics That Followed
When Target used data to predict a customer’s pregnancy before her own father knew, it shocked the world—and changed how companies think about data ethics. This post explores how retail analytics can go too far, and what we can learn from it.
Inside Amazon’s Data Playbook: How Insights Power Their Customer Obsession
Amazon thrives not just on what it sells—but how it sells. With relentless customer obsession and a data-first culture, Amazon uses personalization, predictive analytics, and constant experimentation to serve over 375 million users—and grow faster every day.
How Starbucks Uses Data to Personalize 90 Million Customer Experiences a Week
Starbucks is often called “not a coffee company—but a data company.” With over 90 million transactions each week across thousands of stores globally, Starbucks has built a highly efficient and personalized operation powered by data and AI.
How Netflix Used Data to Completely Transform Your Viewing Experience
Ever wonder how Netflix always seems to know exactly what you want to watch? It’s not magic—it’s data. This post breaks down how Netflix uses data to personalize content, improve user experience, and build an entertainment empire that keeps you watching.
10 Excel Tips Every Beginner Should Know (That Make You Look Like a Pro)
Just getting started with Excel? These 10 tips will save you time, impress your boss, and make your spreadsheets cleaner, faster, and smarter—no formulas degree required.
You Don’t Need a Degree to Work in Data—Here’s What You Really Need
Think you need a degree to work in data? Think again. Here’s what actually matters—and how to start building a career in data today, no permission required.
Starting a Career in Data: What Path Is Right for You?
Curious about starting a career in data but not sure where you fit? From analyst to engineer to product manager, this guide breaks down the most popular roles and how to find the one that matches your strengths—even if you’re starting from scratch.