Data Podcast for Nerds‪!‬ nerdnourishment

In this very special episode of latest episode of the Data Podcast for Nerds! Live from the LinkedIn Learning office, two LinkedIn Learning Instructors talk all about the 'fun' parts of data.

There's a delicate balance between collecting enough data for your analysis, but not too much where you violate people's confidentiality.

But sometimes you have to collect personal and sensitive data. Especially if you are in the same line of work as Lily and conducting demographic analyses.

In these cases, it's all about helping businesses make better equity decisions in the workplace while also protecting the data of individuals.

Highlights:
- Qualitative vs. Quantitative analytics
- How discrimination sneaks into the workplace
- Accounting for bias in machine learning models
- How the human behavior system is involved in it all!

Join this very special live episode as we explore the overlap of data security and DEI.


Our Courses

Protecting Data for Analysis and Machine Learning

A Playbook to Achieve Equity Anywhere


Where to find Lily
LinkedIn

Website



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Support

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Learn all about how a Social Scientist uses data to solve the world's problems, one cup of coffee at a time.

If you're able to forget about having to be perfect, you'll be surprised at how easy it is to talk about your passions and showing your credibility.

Marijn shares with us all the best kept trade secrets in the data industry!

Did you know that there is a correlation between coffee and data jobs?

Other Highlights:
- Learning about how you can apply random skills like RPA Orchestration and 3D printing for building home projects.
- Getting philosophical about why you don't have to be a unicorn to get into data, you actually wanna be a pony.
- Reviewing the Big Mac index and how the price of a Big Mac can be used for forecasting purposes.


and my favorite part was nerding out a bit on GDPR, data privacy, and things to consider when building your models.

Join us to learn more about these best kept trade secrets to help you find the best data job!

Where to find Marijn
LinkedIn


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MERCH!!

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Data Career Strategy Program

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Support

If you like what you see, consider ⁠⁠⁠⁠⁠⁠buying me a broccoli⁠⁠⁠⁠⁠⁠ (it fuels my creativity)


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Support this podcast: https://podcasters.spotify.com/pod/show/nerdnourishment/support

Learn all about how a MLOps & AI Engineer uses data to solve the world's problems, one GenAI tool at a time.

Two things to learn about the data field if you are new in your career: the details always matter and people are more impressed with your grit than your grind.

In this episode, Mikiko shares with us her story on how she transitioned into data analytics from her job working at a hair salon!

Highlights 🔦
- How to transition into data from a completely different industry
- The importance of applying what you learn in courses by building projects
- How to use generative AI tools to help you save tons of hours

Tune in to hear Mikiko share a whole lotta resources to help you along your career journey!


Where to find Mikiko
LinkedIn - Twitter - TikTok - Instagram - GitHub
Just look for 'Mikiko Bazeley MLops Engineer' to find her

Other Resources
Wellfound
DataCamp
Coursera
O'Reilly subscription
Educative
Maven
LinkedIn Learning

Books
Ultralearning by Scott H. Young
The Art and Business of Online Writing by Nicolas Cole
The Consulting Bible by Alan Weiss


******



MERCH!!

Grab your ⁠⁠⁠⁠⁠⁠nerdnourishment swag⁠⁠⁠⁠⁠⁠



Data Career Strategy Program

⁠⁠⁠⁠⁠⁠Book a call⁠⁠⁠⁠⁠⁠ to learn more



Support

If you like what you see, consider ⁠⁠⁠⁠⁠⁠buying me a broccoli⁠⁠⁠⁠⁠⁠ (it fuels my creativity)


---

Support this podcast: https://podcasters.spotify.com/pod/show/nerdnourishment/support

Learn all about how a Hacker in Residence uses data to solve the world's problems, one model at a time.

The hard truth about our wonderful world of data, nobody understands what deep learning is or how it works!



In this episode, Harpreet shares with us what he does at Voxel51 as a Hacker in Residence along with some great tips about the deep end of artificial intelligence.



Highlights 🔦

- Developer Advocacy / Hacker in Residence

- The best approach to reading a research article

- Breakdown of modern roles from research scientist / research engineer / deep learning engineer / AI engineer



Join us to learn about the various experiences Harpreet has accumulated during his career including teaching high school math, working as an actuary, pivoting to biostatistician, and hacking the developer advocacy space.



Where to find Harpreet

LinkedIn



LinkedIn Learning Courses

Computer Vision for Data Scientists

Prompt Engineering with LangChain

More to come...



Other Resources

Hackers & Painters by Paul Graham

Aishwarya Naresh Reganti - GenAI Resources




******



MERCH!!

Grab your ⁠⁠⁠⁠⁠nerdnourishment swag⁠⁠⁠⁠⁠



Data Career Strategy Program

⁠⁠⁠⁠⁠Book a call⁠⁠⁠⁠⁠ to learn more



Support

If you like what you see, consider ⁠⁠⁠⁠⁠buying me a broccoli⁠⁠⁠⁠⁠ (it fuels my creativity)


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Support this podcast: https://podcasters.spotify.com/pod/show/nerdnourishment/support

Learn all about how this exponential podcast host uses data to solve the world's problems, one athlete interview at a time.



Ken's journey with podcasting has been one of the most impactful things he's done in his entire life and most recently set an ambitious goal to embark on the most complete study of excellence in sports ever created.



In this episode, we are covering all the bases from unraveling the secrets of podcasting to sharing insights on the IKEA furniture assembly conundrum.



Highlights 🔦

- Using podcasting as a means for professional and personal growth

- Origin story to Ken's new podcast > The Exponential Athlete

- Discussion around problem-solving frameworks



Join us to discover how the intersection of athleticism, analytics, podcasting, and self-improvement can shape your path to success!



Where to find Ken

LinkedIn

Ken's Nearest Neighbors (Podcast)

Exponential Athlete (Podcast)



******



MERCH!!

Grab your ⁠⁠⁠⁠nerdnourishment swag⁠⁠⁠⁠



Data Career Strategy Program

⁠⁠⁠⁠Book a call⁠⁠⁠⁠ to learn more



Support

If you like what you see, consider ⁠⁠⁠⁠buying me a broccoli⁠⁠⁠⁠ (it fuels my creativity)


---

Support this podcast: https://podcasters.spotify.com/pod/show/nerdnourishment/support

If your currently interested in learning a particular topic, say statistics, you MUST check out this episode. It's WAY more than just learning a topic, it's about HOW you are learning it!



Josh created his YouTube Channel, StatQuest, as a way to publicly share his quest of learning more about statistics, machine learning, and AI



I have learned so much from his way of teaching. He doesn't dumb down the material, he builds up your understanding so that you are smarter.



It was an absolute pleasure to get to talk with him 😀



OF COURSE, I had to ask him to share all the origin stories!



🏁 How he started his channel

🪕 Where his theme songs come from

💥 Who / What inspired his famous BAM!



Join us to learn all about these origin stories along with the power of visual learning and building in public. It's literally the BEST way to learn 🤓




Where to find Josh
LinkedIn
YouTube
Website


******



MERCH!!

Grab your ⁠⁠⁠nerdnourishment swag⁠⁠⁠



Data Career Strategy Program

⁠⁠⁠Book a call⁠⁠⁠ to learn more



Support

If you like what you see, consider ⁠⁠⁠buying me a broccoli⁠⁠⁠ (it fuels my creativity)


---

Support this podcast: https://podcasters.spotify.com/pod/show/nerdnourishment/support