Big Data Processing and Analysis, 4 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
General entry requirements and approved result from the following course/courses:
IAI600-Introduction to Artificial Intelligence and Machine Learning and
PFA600-Programming for Automation or the equivalent.
PACE OF STUDY
Part-time
TYPE OF INSTRUCTION
On Campus
PROGRAMME/COURSE DATE
TEACHING HOURS
Daytime
APPLICATION DEADLINE
15 April 2024
APPLICATION CODE
HV-E1841
START/END
From v.46 2024 to v.03 2025
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