Ebere Oyekwe

I didn’t prioritize SQL early on I thought it was easy and not that important. I was wrong. It became the language I used the most in data. Practice your queries.

Most companies experimenting with AI are not struggling with models. They’re struggling with: – messy internal data – inconsistent schemas – no documentation – no data ownership You can’t plug OpenAI into chaos and expect magic. Data hygiene is important for AI.

What most interests you?

Here are a few ways to use AI avatars in your business: → Product demos → Onboarding & training → Customer support → Sales videos → Content creatio

Data Engineering Tech Stack: ✨Snowflake ✨DBT ✨Airflow All 3 have Free tiers so you can build your first data pipeline for FREE!

5. Waiting until you feel ready, confidence comes from action.

4. Trying to learn everything as once, sometimes it is best to focus on one path.

Mistakes beginners make when upskilling 👇🏾

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A few ways you’re leaving money on the table: • No AI chatbot → missed customers • No automation → slow follow-ups • No data → guessing instead of growing • No systems → everything depends on you Here are a few usecases where Tech, Data and AI can help improve your business. Don't forget to join my newsletter for more content like this.

If you’re starting in analytics, it’s a great place for your first big job. Excel, SQL, and Power BI are great tools to start building projects with.

Build more → get better Get better → move faster Move faster → build smarter Skill isn’t magic. It’s repetition and iteration.

A lot of small businesses feel like technology isn’t “for them.” That’s changing. With AI, it’s never been easier to get started.

Someone on LinkedIn said there is a big difference between using AI as a tool and using it to do the thinking, and I completely agree.

Building projects isn’t just about learning. It’s about testing the waters. Before you commit — build. In product: MVPs. In growth: experiments. For your skills? Minimum viable projects.

Interesting global AI adoption stats. Quick search done with the help of Claude.

Everyone says “learn Python” or “learn SQL.” But no one tells you THIS, but real success is a combination of hard and soft skills Communication & coding Asking good questions Business thinking Data storytelling Tools ≠ skills “Most data projects fail not just because of bad data… but bad implementations as well”