Programa
Analista de datos con R
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Incluido con PremiumDescripción del programa
Analista de datos con R
Requisitos previos
No hay requisitos previos para este programaCourse
Master the basics of data analysis by manipulating common data structures such as vectors, matrices, and data frames.
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Continue your journey to becoming an R ninja by learning about conditional statements, loops, and vector functions.
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Get started on the path to exploring and visualizing your own data with the tidyverse, a powerful and popular collection of data science tools within R.
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Learn to transform and manipulate your data using dplyr.
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Learn to combine data across multiple tables to answer more complex questions with dplyr.
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Learn to produce meaningful and beautiful data visualizations with ggplot2 by understanding the grammar of graphics.
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Master core concepts about data manipulation such as filtering, selecting and calculating groupwise statistics using data.table.
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This course will show you how to combine and merge datasets with data.table.
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In this course, you will learn to read CSV, XLS, and text files in R using tools like readxl and data.table.
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Parse data in any format. Whether it's flat files, statistical software, databases, or data right from the web.
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Develop the skills you need to go from raw data to awesome insights as quickly and accurately as possible.
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Learn how to use graphical and numerical techniques to begin uncovering the structure of your data.
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Use data manipulation and visualization skills to explore the historical voting of the United Nations General Assembly.
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Learn how to describe relationships between two numerical quantities and characterize these relationships graphically.
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Get ready to categorize! In this course, you will work with non-numerical data, such as job titles or survey responses, using the Tidyverse landscape.
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Leverage the power of tidyverse tools to create publication-quality graphics and custom-styled reports that communicate your results.
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Master the basics of querying tables in relational databases such as MySQL, SQL Server, and PostgreSQL.
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Learn how to create one of the most efficient ways of storing data - relational databases!
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Join two or three tables together into one, combine tables using set theory, and work with subqueries in PostgreSQL.
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Al continuar, aceptas nuestros Términos de uso, nuestra Política de privacidad y que tus datos se almacenen en los EE. UU.