An Introduction to R and Python for Data Analysis: A Side-By-Side Approach

Коротко и по делу о том, что важно знать про students.

As both R and Python can be used in similar manners, it is useful and efficient to learn both at the same time, helping lecturers and students to teach and learn more, save time, whilst reinforcing the shared concepts and differences of the systems. An Introduction to R and Python for Data Analysis helps teach students to code in both R and Python simultaneously. This tandem learning is highly useful for students, helping them to become literate in both languages, and develop skills which will be handy after their studies. The side-by-side formatting of this book helps introductory graduate students quickly grasp the basics of R and Python, with the exercises providing helping them to teach themselves the skills they will need upon the completion of their course, as employers now ask for competency in both R and Python. This book presumes no prior experience with computing, and is intended to be used by students from a variety of backgrounds. Teachers and lecturers will also find this book useful in their teaching, providing a singular work to help ensure their students are well trained in both computer languages.

Key features:Teaches R and Python in a "side-by-side" way.

Examples are tailored to aspiring data scientists and statisticians, not software engineers.

Designed for introductory graduate students.

Does not assume any mathematical background.

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