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In this video tutorial on basic statistics, Brandon discusses the log transformation as a method to reshape data for linear regression. He emphasizes the importance of normalizing data for optimal performance of the algorithm. Right skewed and left skewed data are explained with the goal of transforming data to be more normal. Brandon encourages viewers to review prior videos in the series and concludes with a reminder to like, comment, and subscribe.