
Interview-based podcast on all things data science, entrepreneurship, statistics, machine learning, open source, and Python. Formerly PyData Deep Dive.
| Publishes | Infrequently | Episodes | 5 | Founded | 6 years ago |
|---|---|---|---|---|---|
| Categories | BusinessEntrepreneurshipTechnology | ||||

Kevin Systrom is the co-founder and former CEO of Instagram. In this episode we talk about his time after leaving the company, whether becoming a billionaire made him happier, how to decide what to work on, the Japanese concept of Ikigai, or a reason... more
In this episode I talk with Jeremiah Lowin, founder and CEO of Prefect, the company behind the open-source dataflow automation tool of the same name.
We first dive into his background in risk management and his frustrations behind trying to automate... more
In this episode I talk with Matt Rocklin. Matt is best known for his work on Dask, a parallel computing package built into the PyData stack. After working on open source software at Anaconda and NVIDIA he now founded his own company centered around D... more
Let's welcome the new year with a new episode of the PyData Deep Dive.
In this episode I talk to Travis Oliphant: Founder of Anaconda Inc and Quansight Inc, as well as the creator of NumPy. In this episode Travis takes us from the early days of NumP... more
People also subscribe to these shows.





Thank you so much for sharing these exceptional insights by the best Bayesians around!
Can’t wait for your crash course (how about sharing them in a podcast format?)
All the best,
N. Meteore
Enjoyed the first podcast. Good questions and discussions between the host and guest. Seemed to end a bit abruptly but that’s ok. Maybe some outro music would help with the transition. Hope to see more episodes posted.
Would love to see more
How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
Apple Podcasts | #160 |
Listeners, social reach, demographics and more for this podcast.
| Gender Skew | Location | Interests | |||
|---|---|---|---|---|---|
| Professions | Age Range | Household Income | |||
| Social Media Reach | |||||
Rephonic provides a wide range of podcast stats for dats'n'stats. We scanned the web and collated all of the information that we could find in our comprehensive podcast database. See how many people listen to dats'n'stats and access YouTube viewership numbers, download stats, audience demographics, chart rankings, ratings, reviews and more.
Rephonic provides a full set of podcast information for three million podcasts, including the number of listeners. View further listenership figures for dats'n'stats, including podcast download numbers and subscriber numbers, so you can make better decisions about which podcasts to sponsor or be a guest on. You will need to upgrade your account to access this premium data.
Rephonic provides comprehensive predictive audience data for dats'n'stats, including gender skew, age, country, political leaning, income, professions, education level, and interests. You can access these listener demographics by upgrading your account.
To see how many followers or subscribers dats'n'stats has on Spotify and other platforms such as Castbox and Podcast Addict, simply upgrade your account. You'll also find viewership figures for their YouTube channel if they have one.
These podcasts share a similar audience with dats'n'stats:
1. Learning Bayesian Statistics
2. The Local Maximum with Max Sklar
3. The Data Exchange with Ben Lorica
4. Quantitude
5. The Real Python Podcast
dats'n'stats launched 6 years ago and published 5 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
Our systems regularly scour the web to find email addresses and social media links for this podcast. We scanned the web and collated all of the contact information that we could find in our podcast database. But in the unlikely event that you can't find what you're looking for, our concierge service lets you request our research team to source better contacts for you.
Rephonic pulls ratings and reviews for dats'n'stats from multiple sources, including Spotify, Apple Podcasts, Castbox, and Podcast Addict.
View all the reviews in one place instead of visiting each platform individually and use this information to decide if a show is worth pitching or not.
Rephonic provides full transcripts for episodes of dats'n'stats. Search within each transcript for your keywords, whether they be topics, brands or people, and figure out if it's worth pitching as a guest or sponsor. You can even set-up alerts to get notified when your keywords are mentioned.