Introduction to Smart Energy Data and Statistics (BENV0142) | UCL
University College London · England · BENV0142
Introduction to Smart Energy Data and Statistics (BENV0142) | UCL is a subject at University College London, England. It covers topics like business-analytics, data-analytics, statistical-computing, statistics. It is part of 5 degrees. The information below is compiled from public course material — approximate, not official.
University College London
BENV0142
3.00
Topics covered
Degrees that include Introduction to Smart Energy Data and Statistics (BENV0142) | UCL
- Economics and Statistics BSc (Econ)
- Medical Statistics and Data Science MSc
- Statistical Science (International Programme) MSci
- Statistics BSc
- Statistics, Economics and Finance BSc
Frequently asked questions
What is Introduction to Smart Energy Data and Statistics (BENV0142) | UCL about?
Introduction to Smart Energy Data and Statistics (BENV0142) | UCL covers topics like business-analytics, data-analytics, statistical-computing, statistics.
Which degrees include Introduction to Smart Energy Data and Statistics (BENV0142) | UCL?
Introduction to Smart Energy Data and Statistics (BENV0142) | UCL is part of 5 degrees, including Economics and Statistics BSc (Econ), Medical Statistics and Data Science MSc, Statistical Science (International Programme) MSci, Statistics BSc, Statistics, Economics and Finance BSc.
How many credit points is Introduction to Smart Energy Data and Statistics (BENV0142) | UCL?
Introduction to Smart Energy Data and Statistics (BENV0142) | UCL at University College London is typically around 3.00 credit points. Approximate — confirm with the university.
Where is Introduction to Smart Energy Data and Statistics (BENV0142) | UCL taught?
Introduction to Smart Energy Data and Statistics (BENV0142) | UCL is taught at University College London, England.
Studying Introduction to Smart Energy Data and Statistics (BENV0142) | UCL?
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Sources: University College London public course catalogue. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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