Data Podcast for Nerds! – Details, episodes & analysis

Learn all about how an animal welfare insights expert uses data to solve the world's problems, one dog bark at a time.

In this episode, Michelle shares how she turned her love for research and statistics into a fulfilling career.

Michelle says that cause-driven work will always be at the heart of what she does.

Highlights 🔦

- The scientific method applies everywhere: Start with a question, be specific, and gather only the data you need.

- Communication is key: Knowing how to adjust for different audiences—from executives to volunteers—can make or break collaboration.

- Leadership Is More Than a Title: It’s about influence, understanding team dynamics, and being a catalyst for growth and innovation in your organization.

My favorite part about this episode was learning a new phrase for "Garbage In, Garbage Out".

You'll have to tune in to learn it yourself!!

Where to find Michelle: LinkedIn

******

Data Career Coaching

⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Book a call⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to learn more

MERCH!!

Grab your ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠nerdnourishment swag⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Support

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

Learn all about how a board game connoisseur uses data to solve the world's problems, one game piece at a time.

Ever feel stuck in the daily grind, pulling data into Excel, running manual processes, and thinking, “There has to be a better way”?

We had an extremely fun discussion with Blake around how he created his own business by teaching himself how to automate everything.

What made this the most fun episode was talking about strategic thinking by diving into the world of board games.

Highlights 🔦

- Learning by doing

- Generative AI

- Strategy

Whether you're looking to automate your daily tasks, leverage your data for insights, or just need new board game recommendation, this conversation is packed with inspiration and tips.

P.S. Blake hosts a weekly board game meetup in South Austin. Visit his website for more info!

Where to find Blake

Website, LinkedIn, X

#automation #python #boardgames

******

Data Career Coaching

⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Book a call⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to learn more

MERCH!!

Grab your ⁠⁠⁠⁠⁠⁠⁠⁠⁠nerdnourishment swag⁠⁠⁠⁠⁠⁠⁠⁠⁠

Support

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

Learn all about how a Data Scientist uses data to solve the world's problems, one side project at a time.

Ever wondered how data can transform every role you have, whether that be in academia, government, health, or even utilities?

Eric LOVES side projects! He mentions this multiple times throughout this episode while also sharing how you can find data projects in your current job.

Highlights

- Using Salesforce data to create a dashboard

- Using process data to make manual processes easier and faster

- Using ChatGPT to suggest data projects tailored to your current job

- Creating fun side projects like a ukulele tuner, DeskFit app, and even a cat-detecting sprinkler system!

Don't miss out on learning how to leverage data in any role, find small impactful projects, and keep the fun in your work without burning out!

Where to find Eric

LinkedIn

GitHub

******

Data Career Coaching

⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Book a call⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to learn more

MERCH!!

Grab your ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠nerdnourishment swag⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Support

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

Learn all about how a Freelancer uses data to solve the world's problems, one zombie dataset at a time.

In the world of data analytics, finding innovative ways to keep your skills sharp and your projects engaging can be a challenge. Larry shares with us a refreshingly unique approach...

Creating fake data sets! But wait, there's more...

These fake data sets are themed around a fictional zombie company called "Bite-SiZe Munchies".

This fun and creative method not only makes data more engaging but also helps solve real-world problems.

Highlights

- Practical applications of mock data

- How to make data accessible and easy to understand

- How to become and succeed as a Freelancer in the data space

Listen in for all the tips Larry shares on how to make your data #ZombieEasy and #ZombieProof

Where to find Larry

LinkedIn

YouTube

Zombie Dataset

#freelancing #googlesheets #chatgpt

******

Data Career Coaching

⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Book a call⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to learn more

MERCH!!

Grab your ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠nerdnourishment swag⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Support

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

Learn all about how a Data Scientist uses data to solve the world's problems, one personal project at a time.

The power of problem-solving shapes your entire career journey!

Avery shares his story on breaking into data from a background in chemical engineering.

College isn't really about the degree you pursue, it's about learning how to tackle challenges head-on.

Highlights:

- Leveraging personal projects to help you

- Staying motivated through community engagement

- Learning through diverse sources to enrich your skill set

You won't want to miss out on this one, it is packed full of project examples from running, dancing, and eating!

Where to find Avery

LinkedIn

YouTube

******

Data Career Coaching

⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Book a call⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to learn more

MERCH!!

Grab your ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠nerdnourishment swag⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Support

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

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

******

Data Career Coaching

⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Book a call⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to learn more

MERCH!!

Grab your ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠nerdnourishment swag⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Support

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

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

******

Data Career Coaching

⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Book a call⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to learn more

MERCH!!

Grab your ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠nerdnourishment swag⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Support

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

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 WellfoundDataCampCourseraO'Reilly subscriptionEducativeMavenLinkedIn Learning Books Ultralearning by Scott H. YoungThe Art and Business of Online Writing by Nicolas ColeThe Consulting Bible by Alan Weiss

******

Data Career Coaching

⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Book a call⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to learn more

MERCH!!

Grab your ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠nerdnourishment swag⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Support

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

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

******

Data Career Coaching

⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Book a call⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to learn more

MERCH!!

Grab your ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠nerdnourishment swag⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Support

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

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)

******

Data Career Coaching

⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Book a call⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to learn more

MERCH!!

Grab your ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠nerdnourishment swag⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Support

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