Published inTDS ArchiveHow to Create Opportunities and Succeed in Data Science Job ApplicationsHard-won lessons from my successes and failures that will help you in your journeyOct 29, 20243Oct 29, 20243
Published inTDS ArchiveITT vs LATE: Estimating Causal Effects with IV in Experiments with Imperfect ComplianceIntuition, step-by-step script, and assumptions needed for the use of IVOct 9, 20242Oct 9, 20242
When and how to apply causal inference with RDDIntuition, step-by-step script, and assumptions needed for the RDDSep 24, 2024Sep 24, 2024
When and how to apply causal inference in time seriesIntuition, step-by-step script, and limitations of the CausalImpact and CausalArima methodsSep 17, 20242Sep 17, 20242
Part 3: Simplifying causal inference to connect stakeholders and data scientistsHow to determine if causal effects are “real” or merely a result of chanceSep 11, 2024Sep 11, 2024
Part 2: Simplifying causal inference to connect stakeholders and data scientistsBasic tools to measure causality and assess impactSep 4, 2024Sep 4, 2024
Part 1: Simplifying causal inference to connect stakeholders and data scientistsBridging the causal inference gap between business and data peopleAug 27, 2024Aug 27, 2024
The ‘must know’ of Marketing Science for a Data Scientist.The Marketing area has one of the largest budgets in large companies and has naturally invested in hiring a lot of data people. In recent…Apr 17, 2024Apr 17, 2024
A Data-Driven Way of Using Client Feedback in Product DevelopmentRepresentativeness of the feedback, formulating new hypotheses, and generating experimentsNov 14, 2023Nov 14, 2023
A quick business guide to randomized experimentsAn intuitive step-by-step discussion on experimental design for business professionalsNov 6, 2023Nov 6, 2023