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The University of Helsinki Free Online Courses | MOOC Center

Writer's picture: Omran AburayyaOmran Aburayya

If you are looking for some free online courses on the hot topics of AI, python and data analytics, then you can benefit from this article.

The University of Helsinki MOOC Center offers a wide array of free online courses designed to enhance global access to high-quality education. The courses, which are hosted on the [MOOC.fi platform], emphasize self-paced learning and focus on cutting-edge topics in technology, including Artificial Intelligence (AI) and Data Analytics. These courses are suitable for learners of all levels, including those new to programming and AI.

 

Some free and popular online courses of University of Helsinki's MOOC learning center


1. Elements of AI Free Online Course:

The Elements of AI is a series of free online courses created by MinnaLearn and the University of Helsinki. The courses combine theory with practical exercises and can be completed at your own pace and it is available in multiple languages.

The course is Divided into three parts:


I). Introduction to AI:

Covers the basics of AI, including its applications and limitations, without requiring advanced math or programming skills.

II) Building AI:

In this part you’ll learn about the actual algorithms that make creating AI methods possible. Some basic Python programming skills are recommended to get the most out of the course.


🔗 Visit the official webpage of the Elements of AI Free Online course here.

 

2. Data Analysis with Python 2024-2025

• In this course an overview is given of different phases of the data analysis pipeline using Python and its data analysis ecosystem.


• The course lasts seven weeks and is worth 5 credit units.


• No previous knowledge of Python is needed as the course will start with a quick introduction to Python. It is however assumed that you have good programming skills in some language. In addition, linear algebra and probability calculus are prerequisites of this course.


🔗 Visit the official webpage of the Data Analysis with Python 2024-2025 course here.

 

3. Python Programming MOOC 2024

In this course Learn the basics of programming with the Python language in the parts 1-7. In Parts 8 until 14, you will dive deeper into Python programming.


🔗 Visit the official webpage of the Python Programming MOOC 2024 course here

 

4. Big Data Platforms: Introduction to Big Data Processing Frameworks

This course focuses on big data platforms and on key algorithmic ideas and methods used to implement them, including key technologies used for solving challenging big data processing tasks using cloud computing.


Big Data platforms is a 5 ECTS Master's level advanced course. This course focuses on big data platforms and on key algorithmic ideas and methods used to implement them. After completing this course you are able to list many of the key technologies used in big data processing and to select suitable methods for solving challenging big data processing tasks using cloud computing technologies. You will also be able to compare the scalability and fault tolerance implications of using the selected methodologies.


🧠 Main topics are:

  • Distributed computing,

  • Warehouse-Scale Computers,

  • Fault tolerance in distributed systems,

  • Distributed file systems,

  • Distributed batch processing with the MapReduce and the Apache Spark (PySpark) computing frameworks, and

  • Distributed cloud based databases.


🔗 Visit the official webpage of the Big Data Platforms online course here.


💡Another Popular course is the Introduction to the Internet of Things (IoT) in which you will Understand and learn the fundamental concepts and key enablers of the Internet of Things and how to identify and design IoT applications

 

Conclusion

The University of Helsinki's MOOC Center exemplifies how open education can empower individuals and equip them with the skills needed for tomorrow’s challenges. It is free, accessable and for all levels.


You can explore these courses and many others and start learning at the official link below

 

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