Online courses on data science that work to fight for salaries of up to 170,000 pesos

Online courses on data science that work to fight for salaries of up to 170,000 pesos

Data science and machine learning models became relevant as some of the most in-demand skills in the IT sector and that is why more and more Argentines are entering that world in search of better working conditions.

Machine learning models are programmed in integrated development environments (IDEs) such as Amazon Web Services (AWS), for example, or developed in the Python language by data scientists.

A data science specialist has knowledge of Python and R languages ​​for performing statistics and program neural networks; He also uses SQL and the PostgreSQL database language because 90 percent of his work is to debug data. According to salary site Glassdoor, a data scientist earns between 65,000 and 170,000 a month in Argentina.

In relation to this, data scientist Javier Carrera shared free resources on his social networks for data science and machine learning. First, he recommends Kegel, an online community of Google scientists and machine learning experts.

On the other hand, there is a Python library covering knowledge in databases, statistics and mathematical analysis. The library is completely independent and has manuals, documentation and materials so that students can learn the basic pillars of Data Science, Data Analysis, and Python. To use, you must copy and paste the following link in the browser: https://foundations-of-applied-mathematics.github.io/

On YouTube, meanwhile, it is also possible to enter this world: Since 2014 many programming experts have created content and tutorials on Python, R and machine learning on the Python channel; The CrashCourse channel is also very popular, where they upload tutorial videos for system students.

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Seth Grace

About the author: Seth Grace

Seth is an all-around geek who loves learning new stuff every day. With a background in Journalism and a passion for web-based technologies and Gadgets, she focuses on writing about on Hot Topics, Web Trends, Smartphones, and Tablets.

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