Data Analytics

Code

IP-DAT1E

Version

1.0

Offered by

Produktionsingeniør

ECTS

Prerequisites

None

Main purpose

The purpose of the course is to make data analytics application-oriented so that the student can perform and present relevant results from data analytical processes. The student will encounter various statistical algorithms, data storage technologies, data quality and analysis methods.

Knowledge

Account for reproducibility in statistical analytics
Compare different data storage formats
Explain the difference between structured and unstructured data
Explain basic statistical concepts
Explain reasons for anomalies in data
Reflect on data quality in a given data set
Compare different scales
Explain different methods for analytical data processing
Explain basic concepts in data processing

Skills

The student can:

Load data from different file formats
Apply principles of reproducibility in data analytics
Develop a data analytical strategy for a given problem
Carry out basic statistical analytics
Communicate results of data analytics
Select visual charts to support data analytics
Experiment with data collection methods
Provide reasonable choices in connection with analytical data processing
Perform basic probability calculus
Calculate basic statistical key values

Competences

The student can:

Independently plan a data analysis of a given problem
Interpret the results of a data analysis
Develop hypotheses
Test hypotheses
Assess the quality of a data analysis
Make informed choices in connection with data analysis

Topics

Teaching methods and study activities

Resources

Evaluation

Examination

Prerequisites for exam:
None

Form of examination:
Individual written exam. 2 hours
Internal assessment

Allowed tools:
-

Re-exam:
Please note the re-exam can have another form than the ordinary

Grading criteria

Additional information

Responsible

Astrid Hanghøj

Valid from

01-02-2023 00:00:00