What you'll learn:
- You will learn terminology that is common to all programming languages.
- You will learn the Python syntax.
- You will learn how and when to use the basic data types and operators that Python supports.
- You will learn the most commonly used control structures.
- You will learn to create and use functions.
Taking your first steps into the world of data science is intimidating enough. And if you have never written a line of code before, you may put off taking the plunge altogether. One of the hardest things when learning your first programming language is understanding what to ask when you have a problem. If you do not even know what to call those numbers separated by commas and surrounded by square brackets, how can you possibly know what to ask to find out how to modify them?
With Survival Python course, you’ll go from asking the right questions to navigating all kinds of code with ease.
Python is an easy-to-learn programming language that is ideal for those looking to explore careers in data science, web development, and network programming. Whether you want to know where to start when writing your own code, or want to know the most efficient way to utilize the code of others, Survival Python course has you covered.
From installation to data types, operators, control structures, and functions, this course will provide you the groundwork for all future data science courses. Survival Python assumes no prior coding experience and focuses only on the essentials to get you up and running as quickly as possible.
We start from the ground up and talk about everything from variable declaration to importing prebuilt modules. If you have worked with other programming languages but want a quick introduction to the basics of Python, this course is the perfect place for you. While this course assumes no prior programming experience, it is fast paced enough for developers who lack Python experience and want to learn the fundamentals in a methodical manner. You will finish this course with the knowledge and confidence to not only tackle all future Python-based courses, but position yourself as a leader in the field of data science.
