Python Programming for Data Science 1

Getting Started with Python for Data Science

This certificate, the first in a three-certificate series, introduces Python and explains its role in many industries, including data science, engineering, finance, and software development. You will install Anaconda and set up a working environment, and get comfortable running Python code in both Jupyter and the REPL.

The lessons provide hands-on practice with core skills including writing print statements, loops, and control statements. You will learn 'if' statements and loop structures while developing good coding practices and understanding basic Python logic. By the end of the certificate, you will know how to create and organize Python projects that support future learning and practical use.

Python Programming for Data Science certificates must be taken in sequence.
Python Programming for Data Science 1 is the first certificate in the series. You will need to complete this certificate before proceeding to Python Programming for Data Science 2 or Python Programming for Data Science 3.

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

These foundational skills will help you engage fully with our primarily online certificates.

By the end of the certificate, students will:

• Describe what Python is and why it is important to so many industries.
• Download Anaconda/Miniconda and set up an environment.
• Write and execute basic Python statements and functions.