Australian University launches free data science course

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Data Science is a constantly evolving discipline that has changed the way we understand and use information.

Currently, its importance is undeniable as it drives significant advancements in various fields.

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It draws from a broad spectrum of knowledge, including mathematics, statistics, artificial intelligence, programming, and other disciplines.

Its scope is not limited solely to data analysis but also to effectively and persuasively communicating it.

This discipline has applications that benefit both organizations and society as a whole.

Free Data Science Course

The University of Adelaide has announced the launch of a free programming course for Data Science, which will allow you to delve into this field of study.

This course is aimed at all those interested in learning the fundamental concepts of programming, computational thinking, and data analysis techniques to solve real-world problems in the field of Data Science.

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It is especially relevant for those working in areas such as programming, computer science, and marketing.

The course is delivered in English, requiring an intermediate level of the language, and it is offered with English subtitles to facilitate learning.

No prior knowledge of the topics covered is required, just a computer with a stable internet connection to access the online content.

With a duration of 10 weeks and a study commitment of 8 to 10 hours per week, it will be taught by distinguished experts in the field, such as Katrina Falkner, Claudia Szabo, and Nick Falkner.

Cursos relacionados

The course will cover a range of topics, including:

  • Creative coding and computational thinking.
  • Building blocks and the ability to decompose problems.
  • Iteration and pattern recognition.
  • Decision-making and path selection.
  • Testing and debugging.
  • Data organization.
  • Creating reusable code through functions.
  • Practical application of Data Science.
  • Future perspectives in the field.

To enroll in this course and expand your knowledge in Data Science, you only need to use the following button:


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