Course description
Try It: Intro to Python
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.
Who should attend?
Prerequisites
None
Training content
- Functions: bits of code that tell Python what to do
- Two of the most important functions: print and input
- Variables - fundamental building blocks of all programming languages, they hold and name data in your code
- Two variable types: Strings and Integers
- Operators: Equal to, less than, greater than
- Conditionals: If, Elif, Else
- Decision-making with Python: if/else with dual alternative decision statements
- Advanced decision-making: Nested if/else
- Quick Demo: Build a Werewolf Detector with Python
Course delivery details
1-2 hours per week
Certification / Credits
What you'll learn
- 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.
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