This book includes numerous examples demonstrating the use of internet resources, data visualization with Python, and preparing scientific presentations. The primary objective of this book is to introduce students to the typical course structure followed by a data analysis project in earth sciences. A project typically involves conducting a literature review, evaluating and ranking published books and journal articles, extracting pertinent information from the literature in the form of text, data, or graphs, searching and processing the relevant original data using Python, and compiling and presenting the results through posters, abstracts, oral presentations, and multimedia publications using graphics design software. The third, significantly revised edition of the book now incorporates numerous AI-supported applications, such as literature research, code generation for creating graphics, and writing scientific abstracts.