Published inDataDrivenInvestorEmerging Technologies and the Future of BusinessHow to avoid becoming the next KodakNov 21, 2022Nov 21, 2022
Published inGeek CultureNot All Data Science Careers Need to Follow the Same PathNavigating the Data Science Career LandscapeOct 25, 2022Oct 25, 2022
Published inTDS ArchiveData Science Succeeds When It Solves These Two ProblemsGreat data scientists consider both of themOct 7, 20222Oct 7, 20222
Published inCodeXThe Stephen King Effect: Why Talented Data Scientists Struggle to SucceedDon’t let your data science career become a horror storyJul 13, 20226Jul 13, 20226
Published inTDS ArchiveWant to be Valued as a Data Scientist? Ask the Right QuestionsThe questions you ask reveal the value you bringJul 8, 20223Jul 8, 20223
Published inTDS ArchiveUsing the Data Science Spectrum to Find the Right Data Science Career Path for YouNot all data science jobs are the sameDec 28, 20192Dec 28, 20192
Published inTDS ArchiveWhat Type of Data Scientist Are You?When I first started moving into data science, I was working in the insurance industry, where most people in analytical roles come from…Dec 17, 20195Dec 17, 20195
Published inAnalytics VidhyaThe Pitfalls of Linear Regression and How to Avoid ThemWhat to Do When the Linear Regression Assumptions Don’t HoldSep 28, 20194Sep 28, 20194
Published inTDS ArchiveBeyond Linear Regression: An Introduction to GLMsComing from a statistics background, my first foray into data science and machine learning was via linear regression. At the time, I…Sep 22, 20195Sep 22, 20195
Published inTDS Archive3 Python Tools Data Scientists Can Use for Production-Quality CodeJust because you’re a data scientist, doesn’t mean you shouldn’t write good codeSep 7, 20193Sep 7, 20193