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Genevieve Hayes, PhDinTowards Data ScienceData Science Succeeds When It Solves These Two ProblemsGreat data scientists consider both of themOct 7, 20222Oct 7, 20222
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Genevieve Hayes, PhDinTowards Data ScienceWant to be Valued as a Data Scientist? Ask the Right QuestionsThe questions you ask reveal the value you bringJul 8, 20223Jul 8, 20223
Genevieve Hayes, PhDinTowards Data ScienceUsing 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
Genevieve Hayes, PhDinTowards Data ScienceWhat 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
Genevieve Hayes, PhDinAnalytics VidhyaThe Pitfalls of Linear Regression and How to Avoid ThemWhat to Do When the Linear Regression Assumptions Don’t HoldSep 28, 20194Sep 28, 20194
Genevieve Hayes, PhDinTowards Data ScienceBeyond 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
Genevieve Hayes, PhDinTowards Data Science3 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