Before automating, you must master the fundamentals. However, unlike beginner courses that linger on "Hello World" for weeks, DS4B 101-P fast-tracks Python syntax with a focus on the tools required for automation: functions, classes, and error handling ( try/except blocks). You learn to write robust code that doesn't crash when the data changes slightly.
What do you primarily use? (SQL, APIs, local files?) DS4B 101-P- Python for Data Science Automation
Learn to use VS Code as your Python development environment. Before automating, you must master the fundamentals