Phase 1 · Data Science Foundations
TopicsA Day in the Life of a Data Scientist
Part of the Data Science Roadmap.
Summary
In practice, most days are a mix of data wrangling, meetings to clarify requirements, writing and debugging code, and far less time spent on 'exciting' modeling than most beginners expect.
How to Learn This
- 1Shadow or interview a working data scientist about their actual weekly calendar.
- 2Notice how much time goes to data cleaning versus building models.
- 3Decide if the real day-to-day (not the job title) genuinely appeals to you.
More topics in Data Science Foundations
What Data Scientists Actually DoData Scientist vs Data Analyst vs ML EngineerThe Data Science Lifecycle (CRISP-DM)Types of Data Science Roles (Research, Applied, Product)Data-Driven vs Model-Driven DecisionsCommon Industries for Data ScientistsThe Data Science Career LadderKey Tools Overview (Python, SQL, ML, Stats)
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