## Details

Everyone says "learn data." Almost no one shows you the tool that hiring managers actually open in the interview.
Power BI is the fastest on-ramp into a data career — it's visual, it's everywhere in the job market, and you can show real work in a portfolio without writing a line of code to start.
**What You'll Walk Away With:**

* A finished, interactive Power BI dashboard you built live
* The 4-step workflow every analyst uses: connect → clean → model → visualize
* A clear understanding of when to use Power BI vs. Excel vs. SQL
* The one data-modeling concept (relationships) that separates beginners from pros
* A portfolio piece you can screenshot into your resume and LinkedIn

**Who Should Attend:**

* Career switchers eyeing a data or analyst role
* Analysts who live in Excel and want to level up
* Students building a job-ready portfolio
* Anyone curious whether "data" is a path for them — no experience required

**Host:** Crispus Roshan — Data & AI educator, 10+ years in data engineering, 200+ senior technical interviews conducted, founder of Stackle. Built a 200K+ community teaching people to break into data and AI careers.

Stackle - Your Career Lab

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Karan

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Shree

Joel Ordaz

Lisa

Ramya

Claire Bird

Karla 

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Joli Cannon

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Savrabh Srivastava

Sarath Chandra Lingutla

Karen Knowles

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Stephanie Saelzler

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Power BI Crash Course

Online event

\# How to Become a Data Engineer in 10 Weeks: The Job\-Ready Roadmap in the AI Era
\#\# What You'll Learn
Join us for an in-depth look at the complete data engineering roadmap and discover how AI is fundamentally changing the role. We'll break down the technical tools you need to master—from SQL and Python to data pipelines, orchestration frameworks, and cloud platforms—and show you exactly what separates engineers who get hired from those who don't.
\#\# Why This Matters
Data engineering is evolving fast. AI is automating routine tasks, changing how we build and maintain data systems, and raising the bar for what companies expect from engineers. But here's the truth: the fundamentals still matter. This session cuts through the noise and shows you the skills that are actually in demand—and how to build them strategically in 10 weeks.
\#\# What You'll Get Out of This

* A clear, step-by-step roadmap from fundamentals to job-ready
* How AI is reshaping data engineering roles (and what that means for your career)
* The technical tools and concepts you need to master
* Real examples of what hiring teams actually look for
* Insight into Stackle's 10-week Data Engineering Master Class—a proven path for mid-level professionals (analysts, SQL developers, BI developers) who want to level up fast

\#\# Who Should Attend
If you're an analyst or BI developer looking to transition into data engineering, or a SQL developer ready to build more robust data systems, this is for you. You'll walk away with clarity on your learning path and exactly what to focus on next.
\#\# How to Join
No prerequisites—just bring curiosity and a willingness to challenge what you think you know about data engineering.

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Wilson A. Geronimo R.

Shreyas

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Cris Flores

Anubhav Dogra

harini.nitt

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Ronny Richker

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Richard Malsch

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Data Engineer in 10 Weeks - Job ready Roadmap

Join us for a straight-to-the-point 1-hour workshop where we'll show you how to unlock Claude for real work — not just quick questions.

🔍 What You'll Walk Away With:
• A clear understanding of how Claude actually thinks
• Prompting skills that get better results dramatically
• A personal toolkit of use cases you can apply the next morning
• Hands-on experience, not just theory
💡 Real use cases we'll cover:
• Writing and refining PRDs and project plans
• Summarizing meetings and long documents instantly
• Drafting stakeholder communications in your voice
• Research, decision making, and brainstorming

Hank Wang

Sangha

Sowndarya

Veronica Tsarkova

Steve

Trang

Joyce

Mario

Dan L

barb buttons

Shanker

Stella 

Christina 🏳️‍🌈

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Barb Leung

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Karthik

Claude Workshop

Stackle_yourcareerlab

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