This course is designed to bridge the gap for individuals who possess some knowledge of Python but lack the skills necessary to conduct research using the language. The course spans four weeks and covers a variety of essential topics.

In the first week, the course focuses on a comprehensive review of the basics of Python. This foundational understanding is crucial for participants to build upon as they progress through the subsequent weeks of the course.

The second week delves into exploring tools commonly employed in research. This segment equips learners with practical knowledge about tools that enhance the research process, laying the groundwork for more advanced applications in the following weeks.

Weeks three and four are dedicated to applying the acquired knowledge through hands-on case studies. These case studies serve a dual purpose: deepening the participants' comprehension of Python and fostering familiarity with key modules within the language. The specific case studies cover diverse research scenarios, including downloading and translating DNA sequences, analysing textual content in various languages from a collection of books, and interpreting bird migration patterns recorded through solar-powered GPS devices.

Upon completing the course, participants are expected to possess the skills required to undertake more advanced courses in various domains, such as data science, machine learning, computational physics, biomedical sciences, and beyond. The course aims to empower individuals to apply Python effectively in their research endeavours.

The practical skills gained in this course are emphasized through the real-world applications presented in the case studies. These applications include manipulating DNA sequences, analysing multilingual textual data, and interpreting data from solar-powered GPS devices tracking bird migration. The hands-on approach not only solidifies understanding but also prepares participants for the complexities of research scenarios.