Introduction to Programming for Business Analytic

4.0 credits

Created in 1989, Python is now one of the most popular programming languages in the world, attributable to its simplicity, flexibility, and power. Data analysts (or those taking on the role such as business and marketing analysts, data scientists, management consultants, product managers, and more) can use Python (in combination with powerful packages including NumPy, Pandas, Matplotlib, and Seaborn) to import, explore, manipulate, analyze, and visualize data. But before you can harness this power, you must first learn to write basic (read: "foundational", not "easy") Python computer programs. And before you can write basic Python computer programs, you must first learn to think like a computer programmer. Ideally, you are a first-time programmer. If so, this course is designed for you! This course has a slow ramp to build your confidence with both the content and the coding volume. You will move from programming 0 "lines" of Python code to 1, 10, 100, and eventually hundreds of lines. You will utilize Generative AI to help you tackle advanced concepts and problems. By completing this course, you will have acquired the foundational knowledge, mindset, skills, applications, and tools needed to perform basic computer programming and business data analytics using the Python programming language.