Before SQL. Before Power BI. Before Excel. Before You Commit.Â
A live, guided exploration for professionals who want to understand how data fits into their work before investing time, money or energy into technical training.
Join the Guided ExplorationMost people don’t struggle with learning tools.
They struggle because they don’t yet understand how data fits into real roles, teams, or careers.
This experience exists to close that gap without pressure, without hype, and without forcing you down the wrong path.
Who This is For:
Who This is NOT For:
What Happens After:
What We'll Focus On:
Format & Structure
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- Format: Live, discussion-based sessions
- Length: 3 weeks
- Sessions:Â 1 live session per week
- Experience: Interactive, reflective and guided
This is intentionally small and conversational. This is NOT a lecture or content dump.Â
Cohort Structure
Each cohort runs 3 consecutive weeks, same content, same experience.
Option 1 - Thursday Evenings
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March 5, 2026 - 7 PM EST
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March 12, 2026 - 7 PM EST
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March 19, 2026Â - 7 PM EST
Option 2 - Saturday Afternoons
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March 7, 2026 - 1 PM EST
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March 14, 2026 - 1 PM EST
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March 21, 2026 - 1 PM EST
Option 3 - Sunday Afternoons
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March 8, 2026 - 1 PM EST
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March 15, 2026 - 1 PM EST
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March 22, 2026 - 1 PM EST
This experience is intentionally small, reflective, and discussion-based. If you’re looking for clarity not pressure this is for you.
Session 1:Â Understanding How Data Actually Works
Objective:Â Help participants understand what 'working in data' actually looks like in real organizations; beyond tools & titles.
Key Takeaways:
- Describe how data functions across teams (not just analytics roles)
- Distinguish between tools & responsibilities
- Identify where confusion about data careers usually starts
- Recognize how data already shows up in their current or past work
Session 2:Â Where You Fit (& Where You Don't)
Objective:Â Help participants map their existing experience to realistic data-adjacent paths and rule out misaligned ones.
Key Takeaways:
- Identify major data role families at a high level
- Articulate how their current skills translate (or don't)
- Narrow down which paths feel plausible vs aspirational
- Stop comparing themselves to unrealistic career narratives
Session 3:Â Deciding What's Next
Objective: Help participants make an intentional decision about whether and how to move forward.
Key Takeaways:
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Decide whether technical training is the right next step right now
- Identify what to prioritize next (learning, exposure, pause, or redirection)
- Avoid common missteps that waste time & energy
- Move forward with clarity instead of pressure or guesswork
About the Facilitator
I’m a Senior Analytics / Data Engineering professional and the founder of Data Analytics, Simplified.
Alongside my corporate work, I’ve supported hundreds of professionals many from nontraditional backgrounds as they navigated analytics education, career transitions, and growth.
What I’ve seen consistently is that most people don’t struggle because they can’t learn tools they struggle because they don’t yet understand how data fits into their work or goals.
This experience exists to address that gap.
I still actively work in analytics and data engineering, which allows me to ground this experience in how data actually operates inside organizations today.
Investment & Capacity
- Investment: $297
- Capacity: Limited to 15 Participants per Session
This cap ensure the experience stays thoughtful, interactive, and supportive.Â
Join the Guided ExplorationYes - Payment Plans Are Available
You can break up your payment using Afterpay, Paypal or Klarna, no credit card pressure. I also offer monthly payment plans for select start dates right here on the site. Just pick the one that works best for you at checkout. If you need something more flexible, just reach out, I’ve got you.
Do I need technical experience?
Is this recorded?
Will this help me decided whether to learn SQL or Power BI?
Refund Policy
Course Refunds:
- Full Refund: If a participant cancels their enrollment at least 7 days before the course start date, they are eligible for a full refund.
- Partial Refund: If a participant cancels within 3 to 7 days before the course starts, they are eligible for a 50% refund.
- No Refund: If cancellation occurs within 72 hours of the course start date, no refund will be provided.
- Transfer Option: If a participant is unable to attend a course, they can request to transfer their enrollment to a future session at no extra cost, provided the request is made before the course begins.
- Missed Classes: No refunds are offered for missed classes, but participants will have access to course recordings if applicable.