PinnedThe Human Side to Data: Shaping analytics for real-world impactWe are more than just numbers!Oct 29, 2024A response icon3Oct 29, 2024A response icon3
Published inData And BeyondSQL that doesn’t break: 5 scalable patterns I use in pipelinesSQL is an invisible infrastructure. If you write it well, no one notices. If you don’t, everybody gets mail.3d ago3d ago
When data lies: Addressing and handling bias in data analysisThe moment we assume our data is neutral… is the moment we stop being data scientists.Apr 1Apr 1
Why you should not use SELECT * FROM TABLE in SQLIt’s not good practice, SIMPLE…Jan 29A response icon1Jan 29A response icon1
Published inLearning DataSetting up shop for data analysis in 2025You’re more likely to be replaced by a person who knows how to use AI than AI itself.Jan 16Jan 16
Data Verification vs. Data Validation vs. Data ValidityData verification - the technical accuracy of the data; data validation - traditional accuracy; and data validity - its contextual…Dec 9, 2024Dec 9, 2024
Top tools you need for data analysis and data science in 2025Welcome to today’s posts. Know the top tools for data analysis.Dec 4, 2024A response icon1Dec 4, 2024A response icon1
Correlation vs. Causation: Avoiding Misleading Insights in Data AnalysisOne of the most common traps in data analysis is confusing correlation with causation (a…Dec 2, 2024Dec 2, 2024
