Row 68593

Row ID: 68593 | Dataset Entry | Axioma AXP Content Repository

Content Data

This page contains data entry 68593 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

Hey all, nice to meet you. Been lurking here for a minute and figured this is the best place to ask this question. This is all over the place so apologies in advance.

I’m a chemist and worked in process engineering for manufacturing organizations for 13 years now. Learning and utilizing stats programs like JMP and Minitab was a huge key to my success in experimental design, data driven decision making, and technical communications both up and down the corporate ladder. I’m typically doing regressions, ANOVA, t-tests with Tukey Kramer analysis, some optimization modeling, control charts, outlier tests, stddev etc and all the other baseline tools needed for a non-stats person to pretend like I know what I’m doing lol.

Stats work + data processing have been the most enjoyable part of my journey thus far and also feel it would open up many career opportunities in the future.

My goals are expansion of abilities for director level roles that require technical background (chem and process devt) with expanded abilities in data processing and statistics - potentially clinical trials and the like. Alternatively, a full blown career change to DS or stats for manufacturing organizations may be equally fulfilling.

My problem is: I’m not really certain what I’m getting myself into. What is doing graduate level statistics like in school? And what is it like in industry?

Would anyone care to share their perspectives on the above to help me make a more informed decision?

Thank you in advance!

FieldValue
text Hey all, nice to meet you. Been lurking here for a minute and figured this is the best place to ask this question. This is all over the place so apologies in advance. I’m a chemist and worked in process engineering for manufacturing organizations for 13 years now. Learning and utilizing stats programs like JMP and Minitab was a huge key to my success in experimental design, data driven decision making, and technical communications both up and down the corporate ladder. I’m typically doing regre…
label r/datascience
dataType comment
communityName r/datascience
datetime 2024-05-23
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Raw Record

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  "text": "Hey all, nice to meet you. Been lurking here for a minute and figured this is the best place to ask this question. This is all over the place so apologies in advance.\n\nI’m a chemist and worked in process engineering for manufacturing organizations for 13 years now. Learning and utilizing stats programs like JMP and Minitab was a huge key to my success in experimental design, data driven decision making, and technical communications both up and down the corporate ladder. I’m typically doing regressions, ANOVA, t-tests with Tukey Kramer analysis, some optimization modeling, control charts, outlier tests, stddev etc and all the other baseline tools needed for a non-stats person to pretend like I know what I’m doing lol.\n\nStats work + data processing have been the most enjoyable part of my journey thus far and also feel it would open up many career opportunities in the future.\n\nMy goals are expansion of abilities for director level roles that require technical background (chem and process devt) with expanded abilities in data processing and statistics - potentially clinical trials and the like. Alternatively, a full blown career change to DS or stats for manufacturing organizations may be equally fulfilling.\n\nMy problem is: I’m not really certain what I’m getting myself into. What is doing graduate level statistics like in school? And what is it like in industry? \n\nWould anyone care to share their perspectives on the above to help me make a more informed decision?\n\nThank you in advance!",
  "label": "r/datascience",
  "dataType": "comment",
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  "datetime": "2024-05-23",
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Entry Information