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Piilota rajaukset
MS00CN46-3002
Itslearning and contact classes are the main communication channels used on this course.
The student is required to have a computer capable of running a simple Ubuntu virtual machine.
MS00CN44-3002
Course material and assignments in Its Learning and AWS academy.
MS00CN43-3002
Qualifications:
Before taking an "Introduction to Data Engineering with Python" course, students typically need a foundational understanding of several key areas. Here are the prerequisite courses and topics:
1. Python Programming: Proficiency in basic Python syntax and programming constructs, understanding of Object-Oriented Programming (OOP) concepts.
2. Data Management: Experience with data manipulation libraries such as Pandas for handling datasets. Data manipulation involves transforming data, cleaning it, organizing it, and preparing it for analysis.
3. Basic Linear Algebra: Understanding of vectors, matrices, and basic operations on them.
4. Statistics and Probability: Knowledge of descriptive statistics (mean, median, mode, variance, etc.), and familiarity with probability distributions.
MS00CN43-3003
Qualifications:
Before taking an "Introduction to Data Engineering and AI Technologies" course, students typically need a foundational understanding of several key areas. Here are the prerequisite courses and topics:
1. Python Programming: Proficiency in basic Python syntax and programming constructs, understanding of Object-Oriented Programming (OOP) concepts.
2. Basic Linear Algebra: Understanding of vectors, matrices, and basic operations on them.
3. Statistics and Probability: Knowledge of descriptive statistics (mean, median, mode, variance, etc.), and familiarity with probability distributions.
Recommended: Data Management: Experience with data manipulation libraries such as Pandas for handling datasets. Data manipulation involves transforming data, cleaning it, organizing it, and preparing it for analysis.
MS00CN44-3003
Course material and assignments in Its Learning and AWS academy.
USE OF ARTIFICIAL INTELLIGENCE REPORTED
Allowed, can be used, must be reported. Artificial intelligence can be used in the creation of outputs, but the student must clearly report its use. Failure to disclose the use of AI will be interpreted as fraud. The use of AI may affect the assessment.