Data Science with R Tidyverse

Unlock the power of R programming for data science with this practical course! Elevate your skills using the popular tidyverse packages and confidently address real-world data challenges in business, finance, scientific research, and engineering.

Do you have a foundational understanding of R but struggle with efficient data manipulation, visualization, and data analysis? Tired of relying on Excel for data wrangling? This course provides the tools you need to move beyond basic R and become a proficient data scientist.

Designed for beginners and intermediate R users, this course offers a step-by-step introduction to the core components of the tidyverse. You'll gain a comprehensive toolkit for tackling everyday data science tasks.

Here's what you'll learn:

• Data Manipulation with dplyr: Master essential techniques for filtering data, sorting data, creating new variables, summarising data, joining datasets, and selecting columns/rows using the powerful dplyr package.
• Data Reformatting with tidyr: Learn to gather variables, spread out variables, and separate data in cells using tidyr for efficient data cleaning and preparation.
• Data Visualization with ggplot2: Create compelling and informative plots including scatterplots, boxplots, bar charts, line charts, and more! Learn to customize your visualizations with panels and error bars.
• Efficient Code Linking with magrittr: Discover the magrittr forward pipe operator for writing clean, readable, and efficient R code.

By the end of this course, you'll be equipped with the confidence and skills to leverage R for all your data science needs!