Castuner

The Effective Data Scientist

Alexander Schacht, Aziza Yormirzaeva and Paolo Eusebi

Do you want to boost your career as a data scientist? Our podcast helps you in achieving this by teaching you relevant knowledge about all the different aspects of becoming a more effective data scientist.

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Odcinki

31 odcinków

  1. Understanding Collider Bias in Data Analysis 21:38
  2. Box Medalist Brad Jones on Design of Experiments 39:18
  3. Your AI-Powered Data Science Toolkit 1:04:27
  4. The Secret Power of Data Evangelist 46:58
  5. Using Frameworks for Prompts for Better Outcomes 20:35
  6. Alexander and Team on What Leadership Means in Data Science 31:03
  7. Relaunching The Effective Data Scientist: Beyond Code to Influence, Impact & Career Growth 13:30
  8. As a Statistician - Do You Take the Back Seat or Do You Drive Yourself? (Episode 24) 21:37
  9. On Building Your Own Company (Episode 23) 44:32
  10. Cluster Analysis (Episode 22) 32:59
  11. Dimension Reduction with PCA (Episode 21) 21:31
  12. How to Write Impactful and Effective Emails While Avoiding Common Mistakes (Episode 20) 34:27
  13. Tips and Tricks to Reduce Your Email Burden Including the Option of Last Resort (Episode 19) 30:00
  14. Data Visualization Part 2 (Episode 18) 23:10
  15. Data Visualization Part 1 (Episode 17) 24:18
  16. Success Starts in Your Head - Thoughts About the Mindset of Being Successful (Episode 16) 23:34
  17. What Are the Questions to Ask If You Get a New Project? (Episode 15) 21:18
  18. A Picture Says More Than 1000 Tables (Episode 14) 45:41
  19. Writing Reproducible Reports using Quarto (Episode 13) 16:58
  20. Sharing your Code with R Packages (Episode 12) 22:20
  21. How to Effectively Structure Data Science Projects in R (Episode 11) 21:36
  22. Dichotomization and Proportional Odds Model (Episode 10) 15:30
  23. Logistic regression (Episode 9) 16:20
  24. 3 steps to make your research more reproducible with Heidi Seibold (Episode 8) 33:40
  25. The art of communicating data with Hana Khan 30:45
  26. Bayesian inference and probabilistic programming 49:59
  27. Everything to know to write programs like a pro - Principles for good programming (Episode 5) 21:35
  28. Interpretable ML with Serg Masis 47:21
  29. Become familiar with linear regression - Part 2 (Episode 3) 30:37
  30. Introduction to Linear Regression (Episode 2) 25:38
  31. Welcome to the effective data scientist podcast 11:01