Big Data Analysis Course with Google Bigquery
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Syllabus
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Summary
The amount of data generated daily is astronomical, and its use has become vital for informed decision making. Google Bigquery arises as a very powerful solution in this context, allowing the storage and scalable analysis of large volumes of cloud data. The importance of this Big Data analysis course with Google Bigquery lies in its ability to process data efficiently, without the need to worry about the underlying infrastructure, which significantly reduces costs and processing time. Bigquery stands out for its fluid integration with other Google Cloud Platform tools and services, which facilitates the construction of complete data analysis solutions, from intake to visualization.
Goals
Professional opportunities
To prepare you
This Big Data analysis course with Google Bigquery prepares you to face data analysis challenges in business and research environments using Google Bigquery. You will develop solid skills in SQL, Machine Learning, temporary series, text and geospatial analysis, being able to address complex problems, execute complex SQL queries in seconds or minutes and extract significant insights.
Who is it addressed to?
This Big Data analysis course with Google Bigquery is designed for data analysts, data scientists and professionals interested in using Bigquery for advanced analysis and visualization of cloud data. No previous experience in Bigquery is required, but it is useful to have basic knowledge of databases and SQL.
Official Character
This training is not included in the scope of official regulated training (Infant Education, Primary Education, Secondary Education, Official Professional Training FP, Baccalaureate, University Degree, Official University Master and PhD). It is therefore a complementary and/or specialization training, aimed at acquiring certain skills, skills or aptitudes of a professional nature, being able to be barely as merit in workbags and/or opposition competitions, always within the complementary training section and/or continuous training being always essential to review the specific requirements of the public labor stock of the public labor stock market.
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