Common Data Science Mistakes and How to Avoid Them

Explore a 48-minute conference talk from SQLBits that delves into the most common statistical and data science mistakes and traps professionals strive to avoid. Learn from Tomaž Kaštrun, a Microsoft Data Platform MVP with over 20 years of experience in statistics and mathematics, and more than 15 years of MS SQL expertise. Gain valuable insights into potential pitfalls in data science and statistical analysis, equipping yourself with knowledge to enhance your data-driven decision-making processes. Benefit from Kaštrun's extensive background as a frequent speaker at SQL Saturday events, local user groups, and Microsoft-related events such as PASS and 24HOP.

Common Data Science Mistakes