R Programming for Statistics and Data Science [Video]

R Programming for Statistics and Data Science [Video]

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R Programming for data science and data analysis. Apply R for statistics and data visualization with GGplot2 in R
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Video Details

ISBN 13 9781789950298
Course Length 6 hours 26 minutes

Table of Contents

Video Description

R Programming is a skill you'll need if you want to work as a data analyst or a data scientist in your industry of choice. And why wouldn't you - data scientist is the hottest ranked profession in the US. But to do that, you need the tools and the skillset to handle data. R is one of the top languages to get you where you want to be. Combine that with statistical know-how, and you will be well on your way to your dream job. This course packs all of this, and more, in one easy-to-handle bundle, and it's the perfect start to your journey. So, welcome to R Programming for Statistics and Data Science, the course that will get you from a complete beginner in programming with R to a professional who can complete data manipulation on demand. It gives you the complete skillset to tackle any new data science project with confidence and critically assess your work and other people's.

Practicability is the key to this course, Using R, you have a wide variety of options where you can take the code provided within this course and expand on it in any number of directions. You'll reinforce your learning through numerous practical exercises.

Style and Approach

This course will take you on a journey where you'll explore different aspects of statistics and data science and incrementally build up your knowledge of theory and practice in a step-by-step manner.

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What You Will Learn

  • Learn the fundamentals of programming in R
  • Work with R's conditional statements, functions, and loops
  • Build your own functions in R
  • Get your data in and out of R
  • Learn the core tools for data science with R
  • Manipulate data with the Tidyverse ecosystem of packages
  • Systematically explore data in R
  • The grammar of graphics and the ggplot2 package
  • Visualize data: plot different types of data and draw insights
  • Transform data: best practices for when and how
  • Index, slice, and subset data
  • Learn the fundamentals of statistics and apply them in practice
  • Hypothesis testing in R
  • Understand and carry out regression analysis in R
  • Work with dummy variables
  • Learn to make decisions that are supported by the data!
  • Have fun by taking apart Star Wars and Pok√©mon data, as well some more serious datasets

Authors

Table of Contents

Video Details

ISBN 139781789950298
Course Length6 hours 26 minutes
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