Learn Data Science through a comprehensive course curriculum encompassing essential topics like statistics etc.
Sub Category
- Programming Languages
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Objectives
- Understand the fundamentals of software testing, its importance, and its role in the software development process.
- Learn Python programming basics, including variables, data types, control structures, and functions, with a focus on their relevance to testing.
- Explore unit testing concepts and frameworks (e.g., unittest, pytest) in Python.
- Write and execute unit tests to ensure individual code components work correctly.
- Dive into advanced testing topics like integration testing, end-to-end testing, and performance testing.
Pre Requisites
- Basic Python Proficiency: Participants should have a solid understanding of Python programming fundamentals, including variables, data types, loops, and functions.
- Intermediate Python Skills: A prerequisite may include familiarity with more advanced Python concepts like object-oriented programming (OOP), libraries/modules, and exception handling.
- Understanding of Software Testing: Participants should have a grasp of software testing concepts, including unit testing, integration testing, and test-driven development (TDD).
- Command-Line Proficiency: A basic understanding of the command line and how to run Python scripts from the terminal or command prompt.
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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Coupon Code(s)