Data Science Matrix
 Share
The version of the browser you are using is no longer supported. Please upgrade to a supported browser.Dismiss

 
$
%
123
 
 
 
 
 
 
 
 
 
ABCDEFGHIJKLMNOPQRSTUVWXYZAA
1
Concepts for Data Acumen*Core Elements for DS*On ramps for data producers/analystsOn ramps for data consumers/citizensScaffoldsCurricular, Disciplinary and Research Touchpoints
2
Mathematical foundations
Set theory and basic logic
Multivariate thinking via functions and graphical displays,
Basic probability theory and randomness,
Matrices and basic linear algebra,
Networks and graph theory
Optimization
Partial derivatives
Advanced linear algebra (i.e., properties of matrices, eigenvalues, decompositions),
“Big O” notation and analysis of algorithms
Numerical methods (e.g., approximation and interpolation)
* Bridge Programs
* Calculus
* Peer Tutors
* Khan Academy
3
Computational foundations
Basic abstractions
Algorithmic thinking
Programming concepts
Data structures
Simulations
* Data Camp
* MOOCs
* Introductory workshops (1-2 hrs long)
4
Statistical foundations
Variability, uncertainty, sampling error, and inference
Multivariate thinking
Nonsampling error, design, experiments (e.g., A/B testing), biases, confounding, and causal
inference;
Exploratory data analysis
Statistical modeling and model assessment
Simulations and experiments
* Introductory statistics course* Tutorials and handouts (R, Stata, etc.)Econ
5
Data management and curation
Data provenance
Data preparation, especially data cleansing and data transformation
Data management (of a variety of data types)
Record retention policies
Data subject privacy
Missing and conflicting data
Modern databases
* Assign class projects based on publicly-available data (students download directly and prepare analysis dataset)* Libraries
* Competitions, e.g. DataFest, ASA This is Statistics Data Challenges, Kaggle
IRB, FERPA
6
Data description and visualization
Data consistency checking
Exploratory data analysis
Grammar of graphics
Attractive and sound static and dynamic visualizations
Dashboards
* Introductory workshops (1-2 hrs long)* Competitions, e.g. DataFest, ASA This is Statistics Data Challenges, KaggleGIS
7
Data modeling and assessment
Machine learning
Multivariate modeling and supervised learning
Dimension reduction techniques and unsupervised learning
Deep learning
Model assessment and sensitivity analysis
Model interpretation (particularly for black box models)
* Competitions, e.g. DataFest, ASA This is Statistics Data Challenges, Kaggle
8
Workflow and reproducibility
Workflows and workflow systems
Reproducible analysis
Documentation and code standards
Source code (version) control systems
Collaboration
* Require coursework to be prepared in reproducible manner (e.g. R Notebooks, R projects)* R Notebooks and Projects
* Competitions, e.g. DataFest, ASA This is Statistics Data Challenges, Kaggle
9
Communication and teamwork
Ability to understand client needs
Clear and comprehensive reporting
Conflict resolution skills
Well-structured technical writing without jargon
Effective presentation skills
* Group work
* Oral Presentations
* Written papers, with peer review
* Group work
* Oral Presentations
* Written papers, with peer review
* Group work
* Oral Presentations
* Written papers, with peer review
* Competitions, e.g. DataFest, ASA This is Statistics Data Challenges, Kaggle
10
Domain-specific considerationsContext
Judgment
* Case-study approach in a statistics course* Guest lecturers from domain-specific fields/departments
11
Ethical problem solving
Ethical precepts for data science and codes of conduct
Privacy and confidentiality
Responsible conduct of research
Ability to identify “junk” science
Ability to detect algorithmic bias
* Liberal Arts
* Case studies and discussion
* Liberal Arts
* Case studies and discussion
* Liberal Arts
12
13
14
* From NAS 'Data Science for Undergraduates: Opportunities and Options'
15
http://nap.edu/25104
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
Loading...