Build a Learning Map

How does this work?
Authenticated users can assemble nodes from the Competency Index into Learning Maps, which represent logical sequences of competencies for use in defining formal curriculum structures or as personalized pathways created by instructors or learners as records of progress.

To build a Learning Map, select arrows at left to expand nodes of the Competency Index and view any child nodes below them. Select a node's Add to Map >> link to place it in sequence within the Learning Map at right. Continue adding nodes in the sequence that best suits your purpose for the map, then enter a unique name and select Save.

Click the up or down arrows at right of the node listing to modify the sequence, then select Save to update.

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Learning Maps Listing

Learning Map: Competencies for Data Scientists

What's This?
Authenticated users can assemble nodes from the Competency Index into Learning Maps, which represent logical sequences of competencies for use in defining formal curriculum structures or as personalized pathways created by instructors or learners as records of progress.
Recognizing Linked Data as a valuable resource and dealing with unfamiliar data formats.

Understands that Linked Data (2006) extended the notion of a web of documents (the Web) to a notion of a web of finer-grained data (the Linked Data cloud).

69 resources

Differentiates hierarchical document models (eg, XML) and graph models (RDF).

24 resources

Knows the subject-predicate-object component structure of a triple.

46 resources

Understands RDF serializations as interchangeable encodings of a given set of triples (RDF graph).

30 resources

Distinguishes the RDF abstract data model and concrete serializations of RDF data.

41 resources

Uses tools to convert RDF data between different serializations.

7 resources

Cleans a dataset by finding and correcting errors, removing duplicates and unwanted data.

17 resources

Understands how components of the RDF data model (datasets, graphs, statements, and various types of node) are expressed in the RDF library of a given programming language by constructs such as object

70 resources

Understands how the pattern matching of SPARQL queries can be expressed using functionally equivalent constructs in RDF programming libraries.

57 resources

Uses RDF-specific programming methods to query RDF data and save the results for further processing.

23 resources

Understands the basic syntax of a SPARQL query.

24 resources

Uses available tools, servers, and endpoints to issue queries against a dataset.

69 resources

Uses publicly available tools to visualize data.

31 resources

Distills results taken from large datasets so that visualizations are human-friendly.

10 resources

Converts/manipulates SPARQL query outputs (RDF-XML, JSON) to the exact format required by third party tools and APIs.

3 resources

Knows relevant resources for discovering existing Linked Data datasets.

28 resources