The ability to write code in a programming language like Python allows us to analyze, manipulate, and visualize data in order to make informed decisions and solve complex problems. This introductory course is designed to teach the fundamentals of computation and programming using Python, with a focus on applying these skills to understand and work with data.

The course begins by introducing the basic concepts of computation, including algorithms, variables, and loops. Through hands-on exercises and projects, students will learn how to write and execute Python code to solve simple problems and perform basic data analysis. As the course progresses, more advanced topics such as functions, libraries, and object-oriented programming will be covered, allowing students to build on their foundational knowledge and tackle more complex data-related tasks.

One of the key aspects of this course is the application of programming skills to the field of data analysis. Students will learn how to read, clean, and manipulate data using Python libraries like Pandas, NumPy, and Matplotlib. They will also explore techniques for visualizing data, including creating charts, graphs, and interactive visualizations. By the end of the course, students will have a solid understanding of how to use Python to work with data and gain insights from it.

In addition to technical skills, this course will also emphasize the importance of critical thinking and problem-solving. Students will be challenged to think analytically about data and develop creative solutions to real-world problems. Through collaborative projects and group discussions, students will learn how to apply computation and programming concepts to a variety of domains, from business and economics to healthcare and social sciences.

Whether you are a beginner with no prior programming experience or an experienced coder looking to expand your skill set, this course will provide a solid foundation in computation and programming using Python. By the end of the course, you will have the tools and knowledge to confidently analyze, visualize, and interpret data, making you a valuable asset in any field that requires data-driven decision-making.