Debiasing Data: Types, Impact & Practical Fixes

Hosted by Shailvi Wakhlu

What you'll learn

Recognize Key Types of Data Bias

Learn the most common biases that distort data and decision-making.

Understand the Business Impact

See how biased data affects business outcomes and why fixing it matters.

Apply Practical Debiasing Strategies

Get concrete techniques to reduce bias throughout the data lifecycle.

Why this topic matters

Biased data leads to flawed insights, poor decisions, and missed opportunities. Understanding data bias helps you build fairer, more accurate, and more impactful analyses—a crucial skill for any data professional. This lesson will sharpen your ability to spot bias, quantify its impact, and apply practical fixes, making you a more trusted and effective data expert.

You'll learn from

Shailvi Wakhlu

Data Consultant, Coach, and Instructor | Ex-Head of Data @ Strava

Shailvi is a seasoned Data Leader with over eighteen years of experience growing impactful teams and building technology products used by hundreds of millions of users. Her career includes notable technology roles at Salesforce, Fitbit, and as the Head of Data at Strava. As a fractional executive, she has consulted, advised, and invested with multiple high-growth startups. She is also an angel investor in data companies with three investments and one exit. Shailvi has spoken at nearly 100 global conferences, coached more than 500 individuals, and authored the best-selling book "Self-Advocacy."

Previously at

Strava
Komodo Health
Salesforce
Fitbit
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