This course focuses on the essential skills required in data science to effectively analyze complex datasets that are distributed across multiple tables. By joining these tables together, you will gain the ability to extract valuable insights from the combined data. Throughout the course, you will have the opportunity to apply these skills using a captivating dataset from the Rebrickable website, which encompasses comprehensive information about LEGO sets, parts, themes, and colors. Despite the dataset being fragmented across numerous tables, you will progressively work with it while mastering six distinct types of joins. These include four mutating joins: inner join, left join, right join, and full join, as well as two filtering joins: semi join and anti join. In the final chapter, you will further enhance your expertise by applying these newly acquired skills to Stack Overflow data. This dataset comprises nearly 300,000 Stack Overflow questions that are specifically tagged with R, encompassing details about their answers, the date they were asked, and their score. Prepare yourself to elevate your dplyr skills to the next level with this comprehensive course.