PinnedPublished inTDS ArchiveHow to Stay Ahead as a Data Analyst..and make yourself relevant and competitive in the professional marketJan 31, 2023A response icon11Jan 31, 2023A response icon11
Published inTDS ArchiveExploring Time-to-Event with Survival AnalysisIntroduction of Survival Analysis and its application in PythonNov 12, 2023A response icon3Nov 12, 2023A response icon3
Published inTDS ArchiveLegal and Ethical Perspectives on Generative AIExploring the implications of AI-generated content from the legal and ethical aspectsAug 25, 2023A response icon3Aug 25, 2023A response icon3
When a Data Analyst makes a mistakeMistakes can happen anywhere, including at work. Here’s how I cope and learn from them.Jun 17, 2023A response icon2Jun 17, 2023A response icon2
Published inTDS ArchivePrompt Engineering GuidePrinciples, Techniques, and Applications to Harness the Power of Prompts in LLMs as a Data AnalystMay 7, 2023A response icon1May 7, 2023A response icon1
Published inTDS ArchiveGuide to Successful ML Model Deployment for Data AnalystsHow data model deployment differs from other analytics projectsApr 11, 2023A response icon1Apr 11, 2023A response icon1
Published inProduct CoalitionCustomer Lifetime Value ExplainedWays to calculate Customer Lifetime Value (CLV) and adjust your product priorities.Mar 5, 2023A response icon3Mar 5, 2023A response icon3
Published inTDS ArchivePitfalls in Product ExperimentationCommon to-not-do-lists often overlooked in product experimentation causing poor and unreliable resultsJan 17, 2023Jan 17, 2023
Published inTDS ArchiveLife Lessons I Learned from Working as a Data AnalystIt starts with following the curious mindOct 24, 2022Oct 24, 2022
Published inTDS ArchiveImage (Meta)data Feature Extraction in PythonExploring the metadata and color-related features of a photo image for further use in Analytics and MLSep 20, 2022Sep 20, 2022
