Karl_ wrote:@Maf: At the risk of being a bit weird (even more so than usual
), could you tell me a bit about your data science module? It's just that most of my day-to-day at the moment is data science and I'm curious as to what's being taught at an undergrad/foundation level!
We were first introduced to what it is e.g it's multidisciplinary, collecting, analysing and parsing data, what sectors it's used in etc. in a strawberry floating boring powerpoint that went on for at least an hour. Then we were given a brief intro to Python and given Caesar Cipher to do, then some tasks using dictionaries to count the frequency of specific words in text files. Then data cleaning specific entries a web server log file. There was also some shite about data filtering movie review scores from different reviewers as well but this was right before college stopped.
The assessments were:
Describe the main areas of operation of data scientists (architecture, acquisition, analysis and archiving)
Describe the techniques used to store and manage big data (storage, capture, cleaning, reduction, modeling)
Describe the tools used to manipulate big data (Hadoop and associated tools, programming languages, NoSQL databases)
using either a text description or working code example for each.
It's the first year of them doing the data science unit and it kinda showed. It probably wasn't a good idea chucking all that at us while most of us were learning Python for the first time, plus the fact it was four hours and the last class of the day.