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Valitut rajaukset: Poista rajaukset
Full-Stack Collaboration
MS00CR80-3001
There are no in-person contact sessions for this course. We will use the following Zoom link for all online contact sessions: https://turkuamk.zoom.us/j/65197811513
Introduction to Cloud Technologies and Security
MS00CN44-3002
Course material and assignments in Its Learning and AWS academy.
Introduction to Data Engineering and AI Technologies
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.
Interactive Technology and AI
MS00CR81-3003
There are no in-person contact sessions for this course. We will use the following Zoom link for all online contact sessions: https://turkuamk.zoom.us/j/65197811513 All learning material will be available on the course's ItsLearning page.