Row 5677
Content Data
This page contains data entry 5677 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.
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
| Field | Value |
|---|---|
| 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 |
| username_encoded | Z0FBQUFBQm5Lakwyalk4Qlk1VW90V1hmcFdDT0ZETWdZek5ha2FHaXk2aFBDaWVseVBuNi00QWo1NVpJNU96NVNndU1JWERwQ2ZPbWxFU2c0cXVYa2lqR2FDU1lSbWlmS1E9PQ== |
| 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==",
"url_encoded": "Z0FBQUFBQm5Lak9HS1p0TDY5SFlYR0VxMVFJbHdxSXN5UlFNaXFXN090V1dRM0tYYk8yOFRMLXlaMy1qTFNwalZjbXJIY19GZEU2RjBOenVyM3BLRmNtZ0VnNEpEQ3lqR3ZWXzdqTy0yakU4bmp2LS0tS1BQbkZyN09VMEk3VGZTVGRIMFlxQ2J2SGNVb1Q2WnVOci1PREItdFRBTGVQV0VqMndjYnpYY2dmSS1XZ2lMQVJSc0VtLUxGUWxWQ25ha29hSzFnQ3dRUlU4QkE5SmxBYXpJOGxLYTYzZEVna2EwUT09"
}
Entry Information
- Entry ID: 5677
- Repository: Axioma AXP
- Dataset: arrmlet/reddit_dataset_36
- Total Entries: 100,000