Row 39727
Content Data
This page contains data entry 39727 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.
Hi, I'm a current graduate student. I received my bachelor of science in Computer Science and am currently pursuing my master of science in Computer Science concentrating in data mining and intelligent systems. During my undergrad I took courses in Python, SQL, and Mathematics along with other standard CS topics. The mathematical courses were Calc 1-3, Discrete Math, Linear Algebra, Numerical Methods, Physics, and Elementary Statistics. During my graduate courses I've taken Intro to Machine Learning, and Intro to Deep Learning using TensorFlow and Keras. In the Fall I'll be taking coursework in AI, and Data Mining where we learn Apache Spark. The other courses will most likely be Data Visualization, Digital Archeology, NLP, Computer Vision, and some computer architecture courses.
One question of mine is what math is expected of me in this field. It's been awhile since I touched any difficult math problems (I took Calc 3 and Linear Algebra in 2020, and elementary statistics was a very long time ago). So I was curious on what I should refresh on as I'm quite rusty. My ML course didn't touch the math portion too much although I do plan on reading through the textbook to advance my knowledge.
Another is, is software such as Power BI mandatory for this field? I've messed around with it prior but I wouldn't say I have foundational knowledge with it.
And finally what is the feasibility of landing a position in MLE, Data Engineering, or Data Science? I know companies are cutting back quite a lot so I would like to at least get a glimpse of what to prepare my expectations for. Standard software development doesn't interest me too much as I wanted something more mathematical in nature and I just enjoy working with data.
Thank you.
| Field | Value |
|---|---|
| text | Hi, I'm a current graduate student. I received my bachelor of science in Computer Science and am currently pursuing my master of science in Computer Science concentrating in data mining and intelligent systems. During my undergrad I took courses in Python, SQL, and Mathematics along with other standard CS topics. The mathematical courses were Calc 1-3, Discrete Math, Linear Algebra, Numerical Methods, Physics, and Elementary Statistics. During my graduate courses I've taken Intro to Machine Lear… |
| label | r/datascience |
| dataType | comment |
| communityName | r/datascience |
| datetime | 2024-05-22 |
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Raw Record
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"text": "Hi, I'm a current graduate student. I received my bachelor of science in Computer Science and am currently pursuing my master of science in Computer Science concentrating in data mining and intelligent systems. During my undergrad I took courses in Python, SQL, and Mathematics along with other standard CS topics. The mathematical courses were Calc 1-3, Discrete Math, Linear Algebra, Numerical Methods, Physics, and Elementary Statistics. During my graduate courses I've taken Intro to Machine Learning, and Intro to Deep Learning using TensorFlow and Keras. In the Fall I'll be taking coursework in AI, and Data Mining where we learn Apache Spark. The other courses will most likely be Data Visualization, Digital Archeology, NLP, Computer Vision, and some computer architecture courses.\n\nOne question of mine is what math is expected of me in this field. It's been awhile since I touched any difficult math problems (I took Calc 3 and Linear Algebra in 2020, and elementary statistics was a very long time ago). So I was curious on what I should refresh on as I'm quite rusty. My ML course didn't touch the math portion too much although I do plan on reading through the textbook to advance my knowledge.\n\nAnother is, is software such as Power BI mandatory for this field? I've messed around with it prior but I wouldn't say I have foundational knowledge with it.\n\nAnd finally what is the feasibility of landing a position in MLE, Data Engineering, or Data Science? I know companies are cutting back quite a lot so I would like to at least get a glimpse of what to prepare my expectations for. Standard software development doesn't interest me too much as I wanted something more mathematical in nature and I just enjoy working with data.\n\nThank you.",
"label": "r/datascience",
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"datetime": "2024-05-22",
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}
Entry Information
- Entry ID: 39727
- Repository: Axioma AXP
- Dataset: arrmlet/reddit_dataset_36
- Total Entries: 100,000