Python Programming for Data Science 2

Python Data Structures, Functions, and Error Handling

In this certificate, the second in a three-certificate series, you will learn how to create Python functions using def statements and return values. The certificate covers the basic structure of function definitions and shows how functions organize code into reusable blocks. You will also work with conditional return statements, learning how functions can return different values based on specific conditions within the code.

The certificate then introduces lists and arrays as fundamental data structures in Python. You will practice basic operations like appending and removing elements while learning how Python's zero-based indexing system works. Through hands-on exercises, you will become comfortable working with these essential Python data structures.

Python Programming for Data Science certificates must be taken in sequence.
Python Programming for Data Science 2 is the second certificate in the series. You will not be able to access this certificate content until you have successfully completed Python Programming for Data Science 1.

What You Need to Know Before Starting This Certificate

Knowledge of mathematics equivalent to a College Algebra course is recommended. Additionally to ensure success, students should:

• Be comfortable reading and understanding English, as all materials are provided in English.
• These foundational skills will help you engage fully with our primarily online certificates.

Have basic computer skills, including navigating the internet, downloading/uploading files, installing software, and using applications like Microsoft Word.

By the end of the certificate, students will:

• Differentiate between lists, strings, and dictionaries by identifying their unique properties and selecting the appropriate data structure for specific use cases.
• Apply array methods including min, max, mean, and standard deviation to analyze numerical data sets.
• Construct Python functions with proper naming conventions and parameter definitions that accept and process arguments.
• Implement code documentation practices including inline comments and docstrings to improve code readability and maintenance.