Become a Successful Data Scientist with this Free Course!


Data Scientists have gained prominence as experts capable of extracting knowledge and value from data using various tools and methods.

If you’re passionate about data analysis and dream of becoming a Data Scientist, we have excellent news for you!

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Elisa Cabana Garceran del Vall, a talented professor with a bachelor’s degree in Mathematics from the University of Havana and a master’s degree from Carlos III University of Madrid, Spain, has created a completely free online course titled “How to Become a Data Scientist?”

This initiative stems from her passion for Data Analysis and her desire to help others venture into this fascinating field.

This course, structured into five sections and consisting of a total of 14 classes with a duration of 1 hour and 16 minutes, will provide you with a solid foundation to understand the fundamentals of Data Science and its underlying pillars.


You will learn to use skills in areas such as statistics, programming, artificial intelligence, and machine learning to make the most of data.

Who is this course for?

This course is designed for individuals with different backgrounds and aspirations:

  • Students who want to expand their knowledge in Data Science and enrich their career prospects.
  • Engineers interested in applying data analysis in their specialized field.
  • Researchers looking to use Data Science techniques in their studies and projects.
  • Those who wish to delve into the world of Data Science and discover its possibilities.

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If you’re curious about the world of Data Science and eager to learn, this free course is an unmissable opportunity.

Discover the fundamental pillars, acquire key skills, and receive valuable recommendations to excel in the field of data analysis. Don’t wait any longer and start your journey towards an exciting career as a Data Scientist!


Hello, I'm Cursin. My mission is to ensure that everyone has access to quality education, regardless of their academic level, language, or background.

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