Row 5613
Content Data
This page contains data entry 5613 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.
I am a graduate student working on Data Science. The weird thing I notice recently is that graduate schools don't teach SQL or BI tools(which makes sense because those are areas you can pretry much self learn), so a lot of graduate students are lack of those skills (me included) when applying DS or DA jobs.
But they have all the machine learning related cool-looking projects on their portfolios. So their resumes might more fit to DS roles maybe, but their lack of experiences and way less number of DS jobs stop them. Then when applying DA roles, their inadequate SQL or Bi skills stop them.
I noticed this weirdness because my friend who has several cool ML projects just failed SQL interview for DA role. I know there are many data professionals here, so wanted to ask if you have notice this where there are more graduate students applicants recently but bootcamp self learners are more fit? Now I think 6 months of bootcamp heavy focused on SQL with relavent projects could have given me more higher chances to get me DA role.
| Field | Value |
|---|---|
| text | I am a graduate student working on Data Science. The weird thing I notice recently is that graduate schools don't teach SQL or BI tools(which makes sense because those are areas you can pretry much self learn), so a lot of graduate students are lack of those skills (me included) when applying DS or DA jobs. But they have all the machine learning related cool-looking projects on their portfolios. So their resumes might more fit to DS roles maybe, but their lack of experiences and way less number… |
| label | r/datascience |
| dataType | post |
| communityName | r/datascience |
| datetime | 2024-05-02 |
| username_encoded | Z0FBQUFBQm5LakwySVhHY0JRWElOWWF1QzloLXcyYVd1TFBEcEJMNnU4aWlWNjQ2bXVmWC1PODliU3doekx3dE05dGxHa3VhQXJ3YVYxa3ZJTUZ1aEJnd1ZORnQxNmlDNVZQU1h3MjdJbE05S0x0SnU1X1pPLUk9 |
| url_encoded | Z0FBQUFBQm5Lak9HYnQ2c095Wm9TNHdEUzFTZkI1MndoTGxyS1Z3THZnUHhEcjhzVTlCckthNnBmWGpKNzBpRGhhdmJQLVR4ZGI2aDktYmpjbTE4Qk1JYy00VE52Snp1RW5MbDhVNE1ZQnRHMGxBZVZjaXR2d3FEVGZpM3dPQzZZNGQ0Tm5LODVHUmlvSUZFNk9pQ2ZrSlFtWFg2b0ZyVDgyUGhNbGFYNTJOcVI5VzJOOHZ2d3RPM296akp6WUJCMU5lY01mOG1fcERRaEo1ckFqU1h1WkVxaWE5azhZU2d0dz09 |
Raw Record
{
"text": "\nI am a graduate student working on Data Science. The weird thing I notice recently is that graduate schools don't teach SQL or BI tools(which makes sense because those are areas you can pretry much self learn), so a lot of graduate students are lack of those skills (me included) when applying DS or DA jobs.\n\nBut they have all the machine learning related cool-looking projects on their portfolios. So their resumes might more fit to DS roles maybe, but their lack of experiences and way less number of DS jobs stop them. Then when applying DA roles, their inadequate SQL or Bi skills stop them.\n\nI noticed this weirdness because my friend who has several cool ML projects just failed SQL interview for DA role. I know there are many data professionals here, so wanted to ask if you have notice this where there are more graduate students applicants recently but bootcamp self learners are more fit? Now I think 6 months of bootcamp heavy focused on SQL with relavent projects could have given me more higher chances to get me DA role.",
"label": "r/datascience",
"dataType": "post",
"communityName": "r/datascience",
"datetime": "2024-05-02",
"username_encoded": "Z0FBQUFBQm5LakwySVhHY0JRWElOWWF1QzloLXcyYVd1TFBEcEJMNnU4aWlWNjQ2bXVmWC1PODliU3doekx3dE05dGxHa3VhQXJ3YVYxa3ZJTUZ1aEJnd1ZORnQxNmlDNVZQU1h3MjdJbE05S0x0SnU1X1pPLUk9",
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}
Entry Information
- Entry ID: 5613
- Repository: Axioma AXP
- Dataset: arrmlet/reddit_dataset_36
- Total Entries: 100,000