Mandy LiuinCode Like A Girl7 Essential Skills for Landing Your First Data Science Job in 2024 (Part 1)And How To Get Good at Them2d ago1
Samuele MazzantiinTowards Data ScienceForget Statistical Tests: A/B Testing Is All About SimulationsHow simulations outperform traditional stats in that they are easier to understand, more flexible, and economically meaningfulJul 48
Samuele MazzantiinTowards Data ScienceHypothesis Testing Explained (How I Wish It Was Explained to Me)Most resources focus on things like Confidence and Power. But they don’t really matter: here is what you should care aboutMay 134May 134
Saad AllouchThe Top Pitfalls in A/B Testing and How to Avoid ThemAs a data scientist, my primary role involves transforming business data into actionable insights, often through the method of A/B testing…3d ago3d ago
Mariya MansurovainTowards Data SciencePractical Computer Simulations for Product AnalystsPart 2: Using bootstrap for observations and A/B testsApr 301Apr 301
Mandy LiuinCode Like A Girl7 Essential Skills for Landing Your First Data Science Job in 2024 (Part 1)And How To Get Good at Them2d ago1
Samuele MazzantiinTowards Data ScienceForget Statistical Tests: A/B Testing Is All About SimulationsHow simulations outperform traditional stats in that they are easier to understand, more flexible, and economically meaningfulJul 48
Samuele MazzantiinTowards Data ScienceHypothesis Testing Explained (How I Wish It Was Explained to Me)Most resources focus on things like Confidence and Power. But they don’t really matter: here is what you should care aboutMay 134
Saad AllouchThe Top Pitfalls in A/B Testing and How to Avoid ThemAs a data scientist, my primary role involves transforming business data into actionable insights, often through the method of A/B testing…3d ago
Mariya MansurovainTowards Data SciencePractical Computer Simulations for Product AnalystsPart 2: Using bootstrap for observations and A/B testsApr 301
Allon Korem | CEO, Bell StatisticsinBell StatisticsTL’DR: Bayesian A/B testing falls shortThere’s a disconnect between the industry’s enthusiasm for Bayesian testing and its actual contribution, validity, and effectiveness.Jun 261
BrillmarkFrom Guesswork to Great Results: How to Craft Winning Variations Every TimeIn the ever-evolving digital marketing landscape, staying ahead of the curve requires a keen understanding of what works and what doesn’t…Jul 4
Mariya MansurovainTowards Data ScienceLinear Regressions for Causal ConclusionsAn easy and yet powerful tool for decision makingApr 103
