This path is for anyone who wants to enter programming and databases from scratch with no prior experience. It starts by understanding the field and choosing a language, then learning a first language, then working with data, and ends with organizing code and analyzing algorithms.
Why here: It introduces the field and helps you choose the right language before committing to a specific one.
After it you can: You can use programming tools in practice, write and organize code, and understand how to test it.
Why here: You apply what you understood to a beginner-friendly first language, Python, so you get used to actually writing programs.
After it you can: You understand the core programming concepts, write simple programs, and develop small projects in Python.
Why here: Once you have a programming foundation, you move on to how data is stored and handled.
After it you can: You can run basic SQL queries and manage databases and user permissions.
Why here: It comes here because your projects are growing, and you need to save your code and track its changes.
After it you can: You manage your project with version control, work with branches, upload projects to GitHub, and collaborate with others.
Why here: After writing real programs, you learn how to make your code organized and easy to maintain.
After it you can: You write clean code that follows programming standards, document it, and avoid errors caused by repetition and poor organization.
Why here: It is the deepest step in the path and requires earlier programming experience to analyze the performance of solutions.
After it you can: You write efficient algorithms, analyze their performance, and apply them to practical problems.
