Scatter Podcast, hosted by Javier Orraca-Deatcu, explores data analytics, insights, and data science in business.
Scatter Podcast
Claim This Podcastby Scatter Podcast by Javier Orraca
5.0(8 reviews)
3 episodes
Updated Daily
Accepts GuestsHas SponsorsLocation 🇺🇸
Podcast Overview
Scatter Podcast, hosted by Javier Orraca-Deatcu, explores data analytics, insights, and data science in business.
Language
🇺🇲
Publishing Since
4/6/2020
1 verified contact email on file for Scatter Podcast
Pitch yourself as a guest, propose sponsorships, or reach out directly to the host.
Recent Episodes
August 24, 2020
Episode 030: R-Ladies Irvine's Data Science Career Panel
Scatter Podcast host Javier Orraca moderates a data science career panel hosted by R-Ladies Irvine. Tune in to hear five ladies in different data science industries discuss their academic and career journeys. This episode is loaded with career advice and recommendations on how to break into analytics and data science. Special thanks to Alyssa Columbus and Madeline Bauer of R-Ladies Irvine for helping make this event a reality! Enjoy the show and please visit the links below for more information. Panelists on LinkedIn: Colleen Kelly, PhD: https://www.linkedin.com/in/colleenlkelly/ Leondra James: https://www.linkedin.com/in/leondrajames/ Zhi Yang, PhD: https://www.linkedin.com/in/zhiiiyang/ Tiffany Collins: https://www.linkedin.com/in/punkrawkboss/ Karin Kricorian, PhD: https://www.linkedin.com/in/karinkricorian/ R-Ladies Irvine resources: Career Panel Video on YouTube: https://youtu.be/nYLu6V3Nvz8 R-Ladies Irvine homepage: https://www.rladiesirvine.org/ GitHub: https://github.com/rladies-irvine/presentations
July 27, 2020
Episode 029 - Plotly w/ Alex Johnson
On Episode 29 of Scatter Podcast, Joel interviews guest Alex Johnson, Founder of Plotly, a leading platform and library (Python & R) for creating data analytics visualizations.
April 6, 2020
Episode 028 - Guidehouse w/ Carlos Brown
Scatter Podcast interview with Carlos Brown, Data Scientist at Guidehouse, a leading global provider of consulting services to the public and commercial markets. Passionate about his job, Carlos talks to us about the power of telling stories with data. Using open source programming tools, machine learning, statistics, and data visualization, Carlos helps his clients solve challenging business problems. We discuss what life as a data scientist in business consulting is like, data privacy issues, as well as how to begin and succeed in this niche. Enjoy the show! Links: Carlos Brown's LinkedIn: https://www.linkedin.com/in/carlos-brown-eit/ Guidehouse: https://guidehouse.com/
3 total episodes available
Deep-dive analytics for Scatter Podcast
Frequently asked questions
Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.
- What is Scatter Podcast?
- How often does this podcast release new episodes?
This podcast updates daily.
- Where can I listen to this podcast?
This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
Yes, this podcast regularly features guests.
Legal Disclaimer
Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.
All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.
We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.
While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.
By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.