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Big Data Processing and Analysis, 7.5 credits
The students are introduced to the main types of data analysis and analysis methods both theoretically and practically. Importance of the data characteristics is emphasized as critical in selecting proper analysis methods and tools.
The course focuses on the data processing flows comprised of the following steps:
- Data collection
- Data cleaning
- Data analysis
- Data visualization
FACTS
CYCLE
Second cycle
ENTRY REQUIREMENTS
K0004219 Introduktion till artificiell intelligens och maskininlärning (Introduction to Artificial Intelligence and Machine Learning)
K0004225 Programmering för automation (Programming for Automation)
PACE OF STUDY
Part-time
TYPE OF INSTRUCTION
On Campus
PROGRAMME/COURSE DATE
TEACHING HOURS
Daytime
APPLICATION DEADLINE
17 April 2023
APPLICATION CODE
HV-E1749
START/END
From v.45 2023 to v.02 2024
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