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Refactor podcast platform section and enhance styling
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_layouts/podcast.html

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@@ -25,30 +25,28 @@ <h3 class="podcast-subtitle">{{ page.subtitle }}</h3>
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</div>
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<div class="podcast-listen-links">
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<span class="listen-label">Listen or watch on your favorite platforms</span>
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<div class="listen-buttons">
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<a href="{{ page.links.youtube }}" target="_blank" class="listen-btn listen-btn-youtube">
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<svg width="18" height="18" viewBox="0 0 24 24" fill="currentColor">
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<path d="M23.498 6.186a3.016 3.016 0 0 0-2.122-2.136C19.505 3.545 12 3.545 12 3.545s-7.505 0-9.377.505A3.017 3.017 0 0 0 .502 6.186C0 8.07 0 12 0 12s0 3.93.502 5.814a3.016 3.016 0 0 0 2.122 2.136c1.871.505 9.376.505 9.376.505s7.505 0 9.377-.505a3.015 3.015 0 0 0 2.122-2.136C24 15.93 24 12 24 12s0-3.93-.502-5.814zM9.545 15.568V8.432L15.818 12l-6.273 3.568z"/>
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</svg>
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YouTube
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<h2 class="platforms-heading">Listen to or watch on your favorite platform</h2>
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<div class="platforms-chips-wrapper">
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<a href="{{ page.links.youtube }}" target="_blank" rel="noopener noreferrer" class="chip-platform">
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<img src="https://cdn.prod.website-files.com/64416928859cbdd1716d79ce/6477a7c7df55dac86621aa7f_icon-platform-youtube.webp" alt="YouTube icon" class="chip-platform-icon"/>
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<div>YouTube</div>
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</a>
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{% if page.links.apple and page.links.apple != 'TODO' %}
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<a href="{{ page.links.apple }}" target="_blank" class="listen-btn listen-btn-apple">
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<svg width="18" height="18" viewBox="0 0 24 24" fill="currentColor">
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<path d="M18.71 19.5c-.83 1.24-1.71 2.45-3.05 2.47-1.34.03-1.77-.79-3.29-.79-1.53 0-2 .77-3.27.82-1.31.05-2.3-1.32-3.14-2.53C4.25 17 2.94 12.45 4.7 9.39c.87-1.52 2.43-2.48 4.12-2.51 1.28-.02 2.5.87 3.29.87.78 0 2.26-1.07 3.81-.91.65.03 2.47.26 3.64 1.98-.09.06-2.17 1.28-2.15 3.81.03 3.02 2.65 4.03 2.68 4.04-.03.07-.42 1.44-1.38 2.83M13 3.5c.73-.83 1.94-1.46 2.94-1.5.13 1.17-.34 2.35-1.04 3.19-.69.85-1.83 1.51-2.95 1.42-.15-1.15.41-2.35 1.05-3.11z"/>
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</svg>
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Apple Podcasts
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<a href="{{ page.links.apple }}" target="_blank" rel="noopener noreferrer" class="chip-platform">
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<img src="https://cdn.prod.website-files.com/64416928859cbdd1716d79ce/6477a7c7ea921d6b17e8336c_icon-platform-apple-podcasts.webp" alt="Apple Podcasts icon" class="chip-platform-icon"/>
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<div>Apple Podcasts</div>
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</a>
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{% endif %}
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{% if page.links.spotify and page.links.spotify != 'TODO' %}
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<a href="{{ page.links.spotify }}" target="_blank" class="listen-btn listen-btn-spotify">
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<svg width="18" height="18" viewBox="0 0 24 24" fill="currentColor">
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<path d="M12 0C5.4 0 0 5.4 0 12s5.4 12 12 12 12-5.4 12-12S18.66 0 12 0zm5.521 17.34c-.24.359-.66.48-1.021.24-2.82-1.74-6.36-2.101-10.561-1.141-.418.122-.779-.179-.899-.539-.12-.421.18-.78.54-.9 4.56-1.021 8.52-.6 11.64 1.32.42.18.479.659.301 1.02zm1.44-3.3c-.301.42-.841.6-1.262.3-3.239-1.98-8.159-2.58-11.939-1.38-.479.12-1.02-.12-1.14-.6-.12-.48.12-1.021.6-1.141C9.6 9.9 15 10.561 18.72 12.84c.361.181.54.78.241 1.2zm.12-3.36C15.24 8.4 8.82 8.16 5.16 9.301c-.6.179-1.2-.181-1.38-.721-.18-.601.18-1.2.72-1.381 4.26-1.26 11.28-1.02 15.721 1.621.539.3.719 1.02.419 1.56-.299.421-1.02.599-1.559.3z"/>
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</svg>
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Spotify
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<a href="{{ page.links.spotify }}" target="_blank" rel="noopener noreferrer" class="chip-platform">
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<img src="https://cdn.prod.website-files.com/64416928859cbdd1716d79ce/6477a7c8fe3abf5dc324b071_icon-platform-spotify.webp" alt="Spotify icon" class="chip-platform-icon"/>
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<div>Spotify</div>
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</a>
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{% endif %}
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<a href="https://anchor.fm/datatalksclub" target="_blank" rel="noopener noreferrer" class="chip-platform">
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<img src="/images/podcast/badges/anchor-icon.jpg" alt="Anchor icon" class="chip-platform-icon"/>
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<div>Anchor</div>
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</a>
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</div>
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</div>
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</div>
@@ -114,13 +112,35 @@ <h3 class="guest-bio-name">{{ guest.title }}</h3>
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<!-- Newsletter Section -->
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<div class="podcast-newsletter-section">
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<div class="podcast-newsletter-content">
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<h2 class="podcast-newsletter-title">Join 130,000+ data professionals and get weekly updates on new podcast episodes, upcoming events, free courses, and more.</h2>
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<p class="podcast-newsletter-description">
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You'll also receive an invite to our Slack community with instant access to discussions, networking, and peer support.
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</p>
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{% include subscribe.html subscribe="true" %}
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<div class="main-cta">
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<p class="newsletter-main-text">
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Join 130,000+ data professionals and get weekly updates on new podcast episodes, upcoming events, free courses, and more.
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</p>
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<p class="newsletter-sub-text">
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You'll also receive an invite to our Slack community for discussions, networking, and peer support.
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</p>
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<form method="post" id="mc-embedded-subscribe-form" name="mc-embedded-subscribe-form"
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action="https://club.us19.list-manage.com/subscribe/post?u=0d7822ab98152f5afc118c176&amp;id=97178021aa"
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class="validate" target="_blank" novalidate>
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<div class="form-row align-items-center justify-content-center">
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<div class="col-auto">
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<label class="sr-only" for="mce-EMAIL">Email</label>
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<input type="email" value="" name="EMAIL" class="form-control" id="mce-EMAIL" placeholder="Email address" required>
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</div>
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<!-- real people should not fill this in and expect good things - do not remove this or risk form bot signups-->
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<div style="position: absolute; left: -5000px;" aria-hidden="true">
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<input type="text" name="b_0d7822ab98152f5afc118c176_e52ea9dcd3" tabindex="-1" value="">
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</div>
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<div class="col-auto">
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<button type="submit" name="subscribe" class="btn btn-success">
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<i class="far fa-paper-plane"></i> &nbsp; Join
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</button>
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</div>
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</div>
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</form>
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<div class="pt-2 small">
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You'll be subscribed to our newsletter and receive a Slack invite in 3 minutes.
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</div>
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</div>
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_podcast/s07e05-machine-learning-system-design-interview.md

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sec: 2997
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time: '49:57'
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who: Valerii
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- header: Applying ML systems to real-world problems
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- line: Thank you. Let's go to the next one, “How to make machine learning algorithms
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work with other parts of systems to solve real world problems?” I guess the question
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is more about, “Okay, we have this model that we just discussed. This model for
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who: Valerii
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- header: Finding Valerii online
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- line: '[laughs] Okay, I think that''s all we have time for. So maybe last one –
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How can people find you?'
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sec: 3603

_podcast/s07e06-ab-testing.md

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who: Jakob
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- header: A/B test crash course advice
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- header: "Course: A/B Test Crash Course Advice"
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- line: Do you know of a good crash course on A/B tests that does not involve a lot
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of math – ones that are more practical? “If your data looks like this, use this
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test. If your data looks like that, use another test.” Something like that?
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who: Alexey
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---
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Links:
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* [Jakob's LinkedIn](https://www.linkedin.com/in/jakob-graff-a6113a3a/){:target="_blank"}
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* [Product Analyst role at Inkitt](https://jobs.lever.co/inkitt/d2b0427a-f37f-4002-975d-28bd60b56d70){:target="_blank"}

_podcast/s07e07-becoming-a-data-engineering-manager.md

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time: '14:07'
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who: Rahul
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- header: The importance of updating your skill set
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- header: "The Importance of Updating Your Skill Set"
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- line: Okay, so let's say for an example – right now you heard that there is a tool
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called Prefect, which might be nicer and then maybe you allocate some time to
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give it a try. Then you see how it is different from the current technologies
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who: Rahul
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- header: GDPR compliance
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- header: "GDPR Compliance: Dynamic Data Masking, Role-Based Access Control"
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- line: There is a question that is related, I think, to the data platform. “Data
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engineering is moving towards full automation with data versioning and managed
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model serving – how do you solve GDPR compliance issues and bring stakeholders
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who: Rahul
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- header: Finding Rahul online
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- line: Yeah, thanks a lot. What's the best way to find you if somebody has questions?
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Is it LinkedIn or are there other ways?
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who: Rahul
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* [Rahul's LinkedIn](https://www.linkedin.com/in/16rahuljain/){:target="_blank"}

_podcast/s07e08-from-data-science-to-data-engineering.md

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who: Ellen
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- header: The hardest part of transitioning into data engineering
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- line: This is the type of content that people on Hacker News usually like - very
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controversial stuff. Yeah. So that's interesting. What was the most difficult
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part of the transition for you?
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who: Ellen
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- header: People who are both data scientists and data engineers
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- line: Okay. There is a question. Do you know if there is a name for the role for
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people who are both data engineers and data scientists? Does such a thing even
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exist at all?
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who: Ellen
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- header: Finding Ellen online
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- line: Okay, thanks. Before we finish, how can people find you if they have questions?
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LinkedIn, Twitter?
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* [Twitter](https://twitter.com/ellen_koenig){:target="_blank"}
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* [LinkedIn](https://www.linkedin.com/in/ellenkoenig/){:target="_blank"}

_podcast/s07e09-from-math-teacher-to-analytics-engineer.md

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- header: Eight tips to get your first analytics job
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- line: In that tweet that we mentioned. I think you have it pinned. The tweet says
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"Getting your first job in data analytics isn't always easy. Blind applications
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don't work for everyone. Sometimes they only lead to rejections. These eight tips
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who: Juan Pablo
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- header: Finding Juan Pablo online
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- line: Anything else you want to say before we finish?
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* [Website](https://www.thatjuanpablo.com/){:target="_blank"}
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* [Twitter](https://twitter.com/thatjuanpablo){:target="_blank"}
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* [BROKE teacher to FAANG engineer Twitter thread](https://twitter.com/thatjuanpablo/status/1475806246317875203){:target="_blank"}
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* [LinkedIn](https://www.linkedin.com/in/thatjuanpablo/){:target="_blank"}
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* [BROKE teacher to FAANG engineer Twitter thread](https://twitter.com/thatjuanpablo/status/1475806246317875203){:target="_blank"}

_podcast/s08e01-visualising-machine-learning.md

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who: Alexey
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- header: Being self-employed
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You started also working on these visuals. Was it scary for you to go solo?
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- header: Visualising difficult concepts
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- line: "The other thing that works for me is trying to visualize not \u201Cwhat it\
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\ is\u201D, but \u201Cwhat it means\u201D. What I learned from Jack, when you\
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\ try to visualize a concept, you don't visualize the noun, but the verb or the\
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- header: Learning by breaking code
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- header: "Learning by Breaking Code"
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- line: "How do you come up with this \u201CWhat if?\u201D and \u201CWhat can go wrong?\u201D\
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? If you have practical experience, then you can use it. But if you're just learning\
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\ this thing, how can you know about these things?"
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- header: Wrapping up
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- line: We should be wrapping up. Do you want to say anything before we finish?
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_podcast/s08e02-hacking-your-data-career.md

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who: Marijn
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- header: Marijn’s background
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- line: Yeah, I had to train myself a little bit with your name, because you were
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already at our event last time. Before we go into our main topic of hacking a
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data career, let's start with your background. Can you tell us about your career
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who: Marijn
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- header: Standing out in data science
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- line: You mentioned that people need to find something they know that others don't
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know. Since you mentioned that – this wasn't a part of the questions I prepared,
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but maybe you maybe you can help with that. A few days ago, I think it was yesterday,
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who: Marijn
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- header: Don’t shoot the messenger (carefully sharing your findings)
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- line: Yeah – some accountants are very difficult to automate, I think. Anyways,
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we already talked about everyone delegating tasks. Then you also mentioned being
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proactive, right? What was next on the list?
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- header: Marijn’s side projects (finding value in doing things you find interesting)
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- header: "Marijn’s Side Projects: Finding Value in Doing Things You Find Interesting"
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- line: '[laughs] Three people say that they got it. While you''re looking it up,
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one thing I know you for is that you always find these little pet projects that
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you do and then you tell the world about them. And these projects are so cool.'
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who: Marijn
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- header: Building a project portfolio
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- line: This is a question I get quite often. “How do you get inspiration for these
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projects?” I imagine it might be difficult. Let's say you are looking for a job
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because you're switching careers or you're just graduated or for whatever reason
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- header: Marijns NGO project
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- header: "Marijn's NGO Project: Helping Smallholder Farmers Achieve Higher Yields"
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- line: Yeah. Can you tell us about this helping farmers project?
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who: Marijn
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---
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Links:
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* [LinkedIn](https://www.linkedin.com/in/marijnmarkus/){:target="_blank"}

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