Most popular programs
Trending now
If you want to learn to code with Python, this free course will give you an overview of the ins and outs of Python basics. Try our no-risk course today and see why Python has become one of the world’s most popular and in-demand programming languages. No previous coding experience required.
Python is one of the most popular and in-demand programming languages in the world — largely because of how readable and versatile it is. If you’re interested in learning Python, this free, introductory course will demonstrate how learning to code in Python could benefit your career. No previous programming experience is required.
From analyzing large datasets to building web applications, Python can be used for a variety of projects including:
- Writing scripts for automating tasks
-Web development
-Collecting data from websites (also known as “web scraping”)
-Scientific and numeric computing
-Data analysis
-Data visualization
-Machine learning
Python is also a useful skill applicable to roles across a wide range of industries, including:
-Energy
-Finance
-Healthcare
-Marketing
-IT
-Retail
This course is an introduction to our Boot Camps, which combine data analysis and machine learning to prepare learners for careers such as data analysts, financial analysts, data scientists, and more.
This Try It is offered in support of the Coding Boot Camp, Fintech Boot Camp and Data Analytics Boot Camp with the University of Denver. If you enroll in this Try It, your learner data will not be shared with the University of Denver unless you enroll in the Coding Boot Camp, Fintech Boot Camp or Data Analytics Boot Camp.
-What Python is and where it’s used.
-Functions, the bits of code that tell Python what to do.
-How to create and name variables.
-How to build conditional logic to automate dual-alternative decision-making.
-How to use Python for advanced decision making with nested if/else statements.
-How Python interacts with a console.
-How to code simple programs and use conditional statements to automate decision-making.