Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Navigating Diverse Data Science Learning: Critical Reflections Towards
  Future Practice   Data Science is currently a popular field of science attracting expertise
from very diverse backgrounds. Current learning practices need to acknowledge
this and adapt to it. This paper summarises some experiences relating to such
learning approaches from teaching a postgraduate Data Science module, and draws
some learned lessons that are of relevance to others teaching Data Science.

29
The categories of this paper are: funct-an
3
The categories of this paper are: physics
2
The categories of this paper are: math
5
The categories of this paper are: gr-qc
36
The categories of this paper are: cmp-lg
12
The categories of this paper are: nucl-th
13
The categories of this paper are: quant-ph
26
The categories of this paper are: bayes-an
0
The categories of this paper are: hep-ph
10
The categories of this paper are: q-bio
27
The categories of this paper are: comp-gas
6
The categories of this paper are: astro-ph
14
The categories of this paper are: math-ph
9
The categories of this paper are: nlin
19
The categories of this paper are: eess
21
The categories of this paper are: adap-org