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Jan 8 •
Start here =>
WELCOME TO DATA & AI STUDIO Data & AI Studio SKOOL is a learning community for people who want to build practical capability in data, analytics, and AI — without noise, overwhelm, or confusion. This space is designed like a school: - Clear tracks - Repeatable routines - A culture of respectful learning You do not need a technical background to start. You do need curiosity, consistency, and a willingness to practice. WHO THIS COMMUNITY IS FOR This community is for you if you: - Want a structured way to learn data and AI fundamentals - Prefer step-by-step learning over scattered content - Learn best by applying concepts to real examples - Want to ask questions and improve through feedback - Are a practitioner who wants a reliable framework and community YOUR FIRST WEEK HERE (3 QUICK STEPS) 1. Read the "Community Practices" post so you understand how we keep this space safe and respectful. 2. Watch the main orientation or first core lesson on data fundamentals. 3. Make one post in the Questions & Help space: either ask a question you have about using data/AI in your business, or share a tiny win you want to create in the next 7 days. HOW TO INTERACT AT THE BEGINNING - Focus on posting in Questions & Help and Wins & Progress spaces. - No need to DM other members unless you both agree in the comments first. - You can get value here even if you never post an intro or send a single DM. IF YOU'RE INTROVERTED OR PRIVACY-CONSCIOUS It's totally fine to skip intros, lurk for a while, and just ask questions or follow along quietly. This community works because we respect different learning styles. You don't need to be "on" all the time—just show up consistently with questions or ideas when you're ready. Read the Community Practices post for more on privacy and what you need (or don't need) to share.
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3d •
Part 2 is live: Build a team of Sales Agents
Part 1 got your agent finding leads. Part 2 teaches it to follow up. In this lesson you'll see how to: - Research each prospect automatically - Write a personal first message - Keep the follow-ups going without you 👉 Watch it here: https://www.skool.com/dataaistudio/classroom/4ae1540e?md=64056dd5518a465e814e4387ba1f65d9
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14d •
Build a team of Sales Agents - Part 1
https://www.skool.com/dataaistudio/classroom/4ae1540e?md=7fd73ebf09294cc59ebf1025a0a346c6 Here's my new video, which helps you build a suite of sales agents that you can use while you sleep. I also have step-by-step instructions in the build guide. Please take a look, and you can come to my office hours if you have any questions about this.https://youtu.be/HUp2WN0K-D8
Jan 9 •
Community Practices
INTRODUCE YOURSELF (OPTIONAL, RECOMMENDED) Use this template to introduce yourself in the community. INTRO TEMPLATE (COPY / PASTE) Name / Role: Why I’m here: My current level (Beginner / Intermediate / Advanced): What I want to learn first (Data / AI & Data / Use Cases): Industry or domain (optional): One project I’d like to build (optional): THE STANDARD HERE Data & AI Studio is a professional learning space. That means: - Clarity over noise - Learning over debating - Helpful over performative - Practical over theoretical Everyone benefits from a calm, high-signal community. HOW TO ASK GOOD QUESTIONS Good questions are specific, contextual, and show effort. DO: - State your goal in one sentence - Share what you tried - Include relevant context and constraints - Ask for the kind of help you want (explain, debug, recommend, review) AVOID: - Vague posts (e.g., “Help me with AI”) - Tool wars (e.g., “X vs Y?” without context) - Huge asks with no structure (e.g., “Build my whole project”) - Posting sensitive data Use the Help Request Template from the Start Here post. HOW TO SHARE RESOURCES DO: - Share resources with a 1–2 line reason why it’s useful - Put it in the right category (Data / AI & Data / Office Hours / Use Cases) - Summarize the key takeaway AVOID: - Link drops with no context - Promotional links - Content that isn’t relevant to Data or AI learning HOW TO ENGAGE RESPECTFULLY Assume good intent. Optimize for learning. DO: - Explain your reasoning - Offer options, not judgments - Help people move one step forward - Credit others when building on their ideas AVOID: - Personal attacks or sarcasm aimed at people - Dismissing beginners - “Gotcha” responses - Turning threads into debates WHAT WE ENCOURAGE - Sharing your attempts (even if incomplete) - Posting learnings, summaries, and examples - Asking structured questions - Helping others with clear explanations - Consistent participation over perfection WHAT WE DISCOURAGE
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skool.com/dataaistudio
I’d share my life experiences and train individuals to build small businesses using data from AI and modern AI technologies.
Leaderboard (30-day)
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