Row 5677

Row ID: 5677 | Dataset Entry | Axioma AXP Content Repository

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Hi, So i am curious that if you are not working on ML part in your work and you are a data scientist, how does your work differentiate from a data analyst? What statistics methods do you use if not modelling for insights? Because i recently had an interview and they mentioned they do not work on ML part and usually its about getting insight from data. Then wouldn’t it be same as data analyst?

Also, for data insights how do you gather insights if you are not doing ML models? Like use just basic descriptive stats, or basic regessions, and think about questions, or cleaning and feature engineering is what you do?

Becaus, i alway thought when you want to get insights you need to do PCA, some regression models other than just basic stats. I would love to know more if you are a “data scientist” but doesn’t work on ML

FieldValue
text Hi, So i am curious that if you are not working on ML part in your work and you are a data scientist, how does your work differentiate from a data analyst? What statistics methods do you use if not modelling for insights? Because i recently had an interview and they mentioned they do not work on ML part and usually its about getting insight from data. Then wouldn’t it be same as data analyst? Also, for data insights how do you gather insights if you are not doing ML models? Like use just basi…
label r/datascience
dataType post
communityName r/datascience
datetime 2024-05-02
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url_encoded Z0FBQUFBQm5Lak9HS1p0TDY5SFlYR0VxMVFJbHdxSXN5UlFNaXFXN090V1dRM0tYYk8yOFRMLXlaMy1qTFNwalZjbXJIY19GZEU2RjBOenVyM3BLRmNtZ0VnNEpEQ3lqR3ZWXzdqTy0yakU4bmp2LS0tS1BQbkZyN09VMEk3VGZTVGRIMFlxQ2J2SGNVb1Q2WnVOci1PREItdFRBTGVQV0VqMndjYnpYY2dmSS1XZ2lMQVJSc0VtLUxGUWxWQ25ha29hSzFnQ3dRUlU4QkE5SmxBYXpJOGxLYTYzZEVna2EwUT09

Raw Record

{
  "text": "Hi, \nSo i am curious that if you are not working on ML part in your work and you are a data scientist, how does your work differentiate from a data analyst? What statistics methods do you use if not modelling for insights? Because i recently had an interview and they mentioned they do not work on ML part and usually its about getting insight from data. Then wouldn’t it be same as data analyst? \n\nAlso, for data insights how do you gather insights if you are not doing ML models? Like use just basic descriptive stats, or basic regessions, and think about questions, or cleaning and feature engineering is what you do? \n\nBecaus, i alway thought when you want to get insights you need to do PCA, some regression models other than just basic stats. I would love to know more if you are a “data scientist” but doesn’t work on ML",
  "label": "r/datascience",
  "dataType": "post",
  "communityName": "r/datascience",
  "datetime": "2024-05-02",
  "username_encoded": "Z0FBQUFBQm5Lakwyalk4Qlk1VW90V1hmcFdDT0ZETWdZek5ha2FHaXk2aFBDaWVseVBuNi00QWo1NVpJNU96NVNndU1JWERwQ2ZPbWxFU2c0cXVYa2lqR2FDU1lSbWlmS1E9PQ==",
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}

Entry Information