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Ciencia de Datos: Fundamentos de R

Sentar las bases de conocimiento en R y aprender a discutir, analizar y visualizar datos.

Sentar las bases de conocimiento en R y aprender a discutir, analizar y visualizar datos.

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Applied Tiny Machine Learning (TinyML) for Scale

XSeries Program

Join Harvard Online in this series of online courses to enhance your knowledge in TinyML, start applying the skills you have developed into real-world applications, and build the future possibilities of this transformative technology at scale.

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CS50's Introduction to Cybersecurity

Learn how to protect your own data, devices, and systems from today's threats.

An introduction to cybersecurity for technical and non-technical audiences alike in an online course from Harvard.

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CS50's Introduction to Databases with SQL

Learn how to create, read, update, and delete data with relational databases.

An introduction to databases using a language called SQL in an online course from Harvard.

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18th-Century Opera: Handel & Mozart

Study Baroque and Classical opera

Join Harvard University faculty in this online course and get to know the music of two beautiful operas—both in their spellbinding artistry and colorful histories.

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19th-Century Opera: Meyerbeer, Wagner, & Verdi

Study Romantic and Grand Opera

Join Harvard University faculty in this online course to learn the music and cultural impact of three canonical operas from the 1800s: Les Huguenots , Das Rheingold , and Otello.

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Data Science: Wrangling

Turn raw data into useful data

In this online course taught by Harvard Professor Rafael Irizarry, learn to process and convert raw data into formats needed for analysis.

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Data Analysis for Life Sciences

Master key concepts using the R programming language

This HarvardX professional certificate program gives learners the necessary skills and knowledge to analyze data in the life sciences.

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Data Analysis for Genomics

Drive your career forward

This HarvardX professional certificate program gives learners the necessary skills and knowledge to tackle real-world data analysis challenges.