What you’ll learn
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Learn the fundamentals of programming in R
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Work with R’s conditional statements, functions, and loops
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Build your own functions in R
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Get your data in and out of R
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Learn the core tools for data science with R
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Manipulate data with the Tidyverse ecosystem of packages
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Systematically explore data in R
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The grammar of graphics and the ggplot2 package
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Visualise data: plot different types of data & draw insights
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Transform data: best practices of when and how
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Index, slice, and subset data
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Learn the fundamentals of statistics and apply them in practice
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Hypothesis testing in R
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Understand and carry out regression analysis in R
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Work with dummy variables
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Learn to make decisions that are supported by the data!
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Have fun by taking apart Star Wars and Pokemon data, as well some more serious data sets
Who this course is for:
- Aspiring data scientists
- Beginners to programming
- People interested in statistics and data analysis
- Anyone who wants to learn how to code and apply their skills in practice
Deal Score-1
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