Recent Episodes
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As a Statistician - Do You Take the Back Seat or Do You Drive Yourself? (Episode 24)
Jan 25, 2024 – 21:37 -
On Building Your Own Company (Episode 23)
Jan 11, 2024 – 44:32 -
Cluster Analysis (Episode 22)
Dec 29, 2023 – 32:59 -
Dimension Reduction with PCA (Episode 21)
Dec 14, 2023 – 21:31 -
How to Write Impactful and Effective Emails While Avoiding Common Mistakes (Episode 20)
Nov 17, 2023 – 34:27 -
Tips and Tricks to Reduce Your Email Burden Including the Option of Last Resort (Episode 19)
Nov 2, 2023 – 30:00 -
Data Visualization Part 2 (Episode 18)
Oct 19, 2023 – 23:10 -
Data Visualization Part 1 (Episode 17)
Oct 5, 2023 – 24:18 -
Success Starts in Your Head - Thoughts About the Mindset of Being Successful (Episode 16)
Sep 21, 2023 – 23:34 -
What Are the Questions to Ask If You Get a New Project? (Episode 15)
Sep 6, 2023 – 21:18 -
A Picture Says More Than 1000 Tables (Episode 14)
Jul 13, 2023 – 45:41 -
Writing Reproducible Reports using Quarto (Episode 13)
Jun 29, 2023 – 16:58 -
Sharing your Code with R Packages (Episode 12)
Jun 15, 2023 – 22:20 -
How to Effectively Structure Data Science Projects in R (Episode 11)
Jun 1, 2023 – 21:36 -
Dichotomization and Proportional Odds Model (Episode 10)
May 18, 2023 – 15:30 -
Logistic regression (Episode 9)
May 8, 2023 – 16:20 -
3 steps to make your research more reproducible with Heidi Seibold (Episode 8)
Apr 21, 2023 – 33:40 -
The art of communicating data with Hana Khan
Apr 5, 2023 – 30:45 -
Bayesian inference and probabilistic programming
Mar 10, 2023 – 49:59 -
Everything to know to write programs like a pro - Principles for good programming (Episode 5)
Feb 9, 2023 – 21:35 -
Interpretable ML with Serg Masis
Jan 26, 2023 – 47:21 -
Become familiar with linear regression - Part 2 (Episode 3)
Jan 12, 2023 – 30:37 -
Introduction to Linear Regression (Episode 2)
Jul 7, 2021 – 25:38 -
Welcome to the effective data scientist podcast
Jul 5, 2021 – 11:01
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