R Programming for Statistics and Data Science 2023
R Programming for Statistics and Data Science 2023
R Programming for Data Science & Data Analysis. Applying R for Statistics and Data Visualization with GGplot2 in R
Created by 365 Careers | 6.5 hours on-demand video course
R Programming for Statistics and Data Science 2023. R Programming is a skill you 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 skill set 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 title.
This course is packing all of this, and more, in one easy-to-handle bundle, and it’s the perfect start to your journey. So, welcome to R for Statistics and Data Science! R for Statistics and Data Science is the course that will take you from a complete beginner in programming with R to a professional who can complete data manipulation on demand. It gives you the complete skill set to tackle a new data science project with confidence and be able to critically assess your work and others’.
What you’ll 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
- Visualise data: plot different types of data & draw insights
- Transform data: best practices of 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 Pokemon data, as well some more serious data sets
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