Shailvi Wakhlu

Oct'24 Cohort

Summer'26

Winter cohort

Summer Cohort

Fall Cohort

Spring'26

Dec '25

Fall cohort

Asia-Pacific Cohort

Tired of your great work flying under the radar? The Playbook to “Stand Out” gives you a simple checklist to decide what to share — and how to communicate it so it lands. Think of it as your personal filter for intentional, high-impact communication. Use it to get noticed for the right reasons, build credibility, and stand out with confidence and clarity.

The Playbook to "Stand Out": Communicate to Be Seen, Heard, and Remembered
 

Data scientists who apply statistical and ML techniques to extract insights from data.

Using data and metrics to measure performance, run experiments, and inform decisions.

Become the go-to data professional who prevents bad data, not just fixes it

Data Quality Leader

Data leader at Meta with two decades improving data quality

Mastering the Data Quality Playbook for Data Professionals

Lead Data Engineer

Broad professional audience — content relevant across many roles and functions.

Getting promoted, navigating job transitions, and advancing to the next level in your career.

Executive communication — presenting to boards, writing memos, running all-hands, and high-stakes messaging.

Master self-advocacy to authentically communicate your value. Confidently plan for the promotions, money, and job satisfaction you deserve!

Author | Coach | Data Executive

Best-selling author on Self-Advocacy | Data leader at Meta | Coach to 500+

Self-Advocacy for Growing Your Technology Career

Data Engineer

Strava

Komodo Health

Salesforce

Fitbit

Bad data is everywhere—and if you work with data, you’ve felt the pain.📉 Broken dashboards 🔁 Conflicting metrics 🧯 Late-night pipeline debugging 🗣️ Re-explaining numbers you know are wrongOver time, this erodes trust in your data—and in your work.Most data professionals are stuck in reactive mode. You fix issues after they’ve already caused damage, only to see the same problems resurface weeks later. That’s not a skill issue—it’s a systems issue.This course helps you change that.You’ll learn how to approach data quality systematically, not ad hoc:<ul><li>🔍 Identify where and why data quality issues originate</li><li>🧪 Diagnose problems quickly using structured SQL-based techniques</li><li>🛡️ Put guardrails in place so errors are caught before they impact decisions</li></ul>Just as importantly, you’ll learn how to make data quality visible and valuable. You’ll practice communicating the business impact of bad data so this work gets prioritized—not ignored.The result? ✅ Less firefighting 📊 More trust in your data 🚀 Greater confidence in the insights you deliverIf you’re ready to stop chasing bad data and start preventing it, this course gives you the playbook.

Stop firefighting bad data: prevent, diagnose, and fix it systematically

Prevent data quality issues before they reach stakeholders

Diagnose and debug data issues using a repeatable SQL approach

Assess data health across the full data lifecycle

Automate data quality checks to protect pipelines

Reduce firefighting and increase trust in your data

Influence teams to prioritize data quality initiatives

Data Analysts &amp; Data Scientists who want to prevent bad data instead of constantly fixing errors and dealing with misleading insights.

Data Engineers who want to build reliable pipelines with automated quality checks to ensure a trustworthy, high-integrity data environment.

Data Practitioners who need to secure company-wide buy-in for data governance initiatives that drive better business decisions.

Prezi

In tech, career growth isn’t just about doing great work. Promotions, raises, and opportunities go to people who can clearly connect their work to impact at the right moments. Most professionals are never taught how to do this, especially in a way that feels authentic rather than awkward or political.This course helps you change that.You’ll stop hoping your impact gets noticed, second-guessing yourself in career conversations, and scrambling when promotion or compensation discussions come up.You’ll start using clear frameworks, specific language, and intentional plans to advocate before decisions are made, not after. You’ll learn exactly what to say, when to say it, and how to say it so your value is understood by decision-makers.What makes this course different is its practical, applied focus. There’s no vague advice like “be more visible.” You’ll practice live, role-play real scenarios, use scripts and templates, and leave with a custom self-advocacy plan you can immediately apply to promotions, compensation, and role growth.Self-advocacy isn’t self-promotion. It’s how you take ownership of your career trajectory: consistently and confidently.

Great work isn’t enough! Self-advocacy is what turns effort into career growth.

Advocate for your impact with clarity and credibility

Plan and land promotions intentionally

Navigate compensation conversations with confidence

Advocate consistently, not just in high-stakes moments

Overcome personal barriers to self-advocacy

Create a personalized self-advocacy plan

Mid-career tech professionals looking to own their career growth, including members of underrepresented groups that lack supportive mentors

Anyone ready to create a plan to get promoted, be acknowledged for their work, get better work opportunities, or prioritize job satisfaction

Those who struggle to position themselves for success at work, due to underconfidence, introversion, shyness, fear, anxiety, or ineloquence

Learn directly from Shailvi Wakhlu

Shailvi Wakhlu

Courses

Mastering the Data Quality Playbook for Data Professionals

Self-Advocacy for Growing Your Technology Career

Lightning Lessons

Debiasing Data: Types, Impact & Practical Fixes

From Ambition to Action: Get That Promotion

Resources

The Playbook to "Stand Out": Communicate to Be Seen, Heard, and Remembered