An Introduction to R and Python for Data Analysis A Side-By-Side Approach
An Introduction to R and Python for Data Analysis by Taylor R. Brown, published by CRC Press in 2023, is a comprehensive guide designed to teach students coding in both R and Python simultaneously. This edition spans 246 pages and is presented in English, making it accessible to a wide audience. The book emphasizes the efficiency of learning both programming languages together, reinforcing shared concepts while highlighting their differences, which is particularly beneficial for students from diverse backgrounds.
Readers will find that this book employs a side-by-side format, allowing introductory graduate students to quickly grasp the fundamentals of R and Python. The exercises included are tailored to aspiring data scientists and statisticians, providing practical skills that are increasingly sought after by employers. The content is structured to support self-learning, with additional resources available online for both students and instructors, ensuring a well-rounded educational experience in computer science and statistical software.
Official synopsis Publisher
An Introduction to R and Python for Data Analysis helps teach students to code in both R and Python simultaneously. 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. 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. This book presumes no prior experience with computing, and is intended to be used by students from a variety of backgrounds. 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. 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. All data for exercises can be found here: https: //github.com/tbrown122387/r_and_python_book/tree/master/data. Instructors can access the solutions manual via the book’s website.
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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