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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.

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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 and Data Analytics Boot Camp with UC Irvine Division of Continuing Education. If you enroll in this Try It, your learner data will not be shared with UC Irvine Division of Continuing Education unless you enroll in the Coding Boot Camp or Data Analytics Boot Camp.

What you'll learn

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 and Data Analytics Boot Camp with UC Irvine Division of Continuing Education. If you enroll in this Try It, your learner data will not be shared with UC Irvine Division of Continuing Education unless you enroll in the Coding Boot Camp or Data Analytics Boot Camp.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops knowledge and skills used in several industries like energy, finance, healthcare, marketing, IT, and retail
Taught by respected instructors
Builds a solid Python programming foundation for beginners
Offered through a respected provider with a strong reputation

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Activities

Coming soon We're preparing activities for Try It: Intro to Python. These are activities you can do either before, during, or after a course.

Career center

Learners who complete Try It: Intro to Python will develop knowledge and skills that may be useful to these careers:
Data Scientist
A Data Scientist uses data analysis and machine learning techniques to solve business problems. Python is a popular programming language for data science, and this course provides an introduction to Python that can help you build a foundation for a career as a Data Scientist.
Data Analyst
A Data Analyst collects, analyzes, interprets, and presents data to help organizations make informed decisions. Python is a popular programming language for data analysis, and this course provides an introduction to Python that can help you build a foundation for a career as a Data Analyst.
Web Developer
A Web Developer designs, develops, and maintains websites and web applications. Python is a popular programming language for web development, and this course provides an introduction to Python that can help you build a foundation for a career as a Web Developer.
Software Engineer
A Software Engineer designs, develops, and maintains software applications. Python is a popular programming language for software development, and this course provides an introduction to Python that can help you build a foundation for a career as a Software Engineer.
Data Engineer
A Data Engineer designs, builds, and maintains data infrastructure. Python is a popular programming language for data engineering, and this course provides an introduction to Python that can help you build a foundation for a career as a Data Engineer.
Financial Analyst
A Financial Analyst performs financial analysis and modeling to help businesses make informed decisions. Python is a popular programming language for financial analysis, and this course provides an introduction to Python that can help you build a foundation for a career as a Financial Analyst.
Machine Learning Engineer
A Machine Learning Engineer designs, builds, and maintains machine learning models. Python is a popular programming language for machine learning, and this course provides an introduction to Python that can help you build a foundation for a career as a Machine Learning Engineer.
Business Analyst
A Business Analyst analyzes business processes and systems to identify areas for improvement. Python is a popular programming language for business analysis, and this course provides an introduction to Python that can help you build a foundation for a career as a Business Analyst.
Data Visualization Analyst
A Data Visualization Analyst designs and develops data visualizations to communicate data insights. Python is a popular programming language for data visualization, and this course provides an introduction to Python that can help you build a foundation for a career as a Data Visualization Analyst.
Operations Research Analyst
An Operations Research Analyst uses mathematical and statistical modeling to solve business problems. Python is a popular programming language for operations research, and this course provides an introduction to Python that can help you build a foundation for a career as an Operations Research Analyst.
Product Manager
A Product Manager manages the development and launch of new products. Python is a popular programming language for product management, and this course provides an introduction to Python that can help you build a foundation for a career as a Product Manager.
Quantitative Analyst
A Quantitative Analyst uses mathematical and statistical modeling to analyze financial data. Python is a popular programming language for quantitative analysis, and this course provides an introduction to Python that can help you build a foundation for a career as a Quantitative Analyst.
Actuary
An Actuary uses mathematical and statistical modeling to assess risk. Python is a popular programming language for actuarial science, and this course provides an introduction to Python that can help you build a foundation for a career as an Actuary.
Business Intelligence Analyst
A Business Intelligence Analyst analyzes data to help businesses make informed decisions. Python is a popular programming language for business intelligence, and this course provides an introduction to Python that can help you build a foundation for a career as a Business Intelligence Analyst.
Project Manager
A Project Manager plans, executes, and closes projects. Python is a popular programming language for project management, and this course provides an introduction to Python that can help you build a foundation for a career as a Project Manager.

Reading list

We've selected 12 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Try It: Intro to Python.
Provides a practical, hands-on approach to learning Python. It great resource for beginners who want to quickly get started with the language.
Teaches Python through a series of practical projects. It great resource for learners who want to learn how to use Python to automate tasks and solve real-world problems.
Provides a comprehensive introduction to Python programming. It great resource for learners who want to learn the fundamentals of the language.
Provides a practical introduction to data science using Python. It great resource for learners who want to learn how to use Python to analyze data.
Provides a comprehensive introduction to machine learning using Python. It great resource for learners who want to learn how to use Python to build machine learning models.
Provides a practical introduction to deep learning using Python. It great resource for learners who want to learn how to use Python to build deep learning models.
Provides a comprehensive introduction to natural language processing using Python. It great resource for learners who want to learn how to use Python to process and analyze text data.
Provides a practical introduction to data analysis using Python. It great resource for learners who want to learn how to use Python to clean, analyze, and visualize data.
Provides a comprehensive introduction to algorithms using Python. It great resource for learners who want to learn how to use Python to solve algorithmic problems.
Provides a practical introduction to finance using Python. It great resource for learners who want to learn how to use Python to analyze financial data.
Provides a practical introduction to web development using Python. It great resource for learners who want to learn how to use Python to build web applications.

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