Try It: Intro to Python from edX

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 the University of Wisconsin Extended Campus. If you enroll in this Try It, your learner data will not be shared with the University of Wisconsin Extended Campus unless you enroll in the Coding Boot Camp or Data Analytics Boot Camp.

What's inside

Learning objectives

-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.

-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.

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Teaches Python, which is a widely used and versatile programming language in demand by employers

Combines data analysis and machine learning, preparing learners for careers such as data analysts, financial analysts, and data scientists

Provides an introduction to coding in Python and is suitable for beginners with no prior programming experience

Covers a range of Python applications, including web development, data analysis, and machine learning, making it relevant to individuals looking to enhance their skills in these areas

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Try It: Intro to Python with these activities:

Organize your Python resources and notes

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Ensure you have all the necessary resources and information organized for effective learning.

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Gather all your course materials, including lecture notes, assignments, and readings.
Create a digital or physical filing system to organize your materials.
Review your materials regularly and make annotations or summaries for better retention.

Practice using Python syntax

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Build a stronger foundation in Python syntax to enhance understanding of course materials.

Browse courses on Python Syntax

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Review basic Python syntax, including data types, variables, operators, and control flow.
Complete online tutorials or exercises on Python syntax.

Connect with Python professionals on LinkedIn

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Expand your professional network and learn from experienced Python developers.

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Create or update your LinkedIn profile to highlight your Python skills.
Join Python-related groups on LinkedIn.
Connect with Python professionals in your industry or area of interest.

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Join a Python study group or online community

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Engage with other Python learners to exchange knowledge, ask questions, and provide support.

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Identify online communities, forums, or study groups dedicated to Python.
Participate in discussions, ask questions, and share your knowledge with others.
Collaborate on projects or code challenges with other members.

Solve Python coding challenges

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Sharpen your problem-solving skills and apply Python concepts to real-world scenarios.

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Identify online coding platforms or resources that offer Python challenges.
Select challenges appropriate to your skill level and work through them.
Review your solutions and identify areas for improvement.

Attend a Python workshop or hackathon

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Enhance your Python skills and connect with industry professionals at specialized events.

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Identify Python workshops or hackathons in your area or online.
Register for the event and prepare accordingly.
Actively participate in the workshop or hackathon, asking questions and sharing your knowledge.
Network with other attendees and industry experts.

Explore Python libraries and frameworks

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Expand your Python knowledge by exploring popular libraries and frameworks used in various applications.

Browse courses on Python Libraries

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Identify Python libraries or frameworks that align with your interests or career goals.
Find tutorials or documentation on the chosen libraries or frameworks.
Implement the libraries or frameworks in your own projects or exercises.

Develop a Python project

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Apply your Python knowledge by creating a practical project that showcases your skills.

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Identify a project idea that aligns with your interests or career goals.
Design and plan your project, including the scope, features, and implementation details.
Code and test your project, ensuring it meets the desired functionality and performance.
Document your project, including a description, usage instructions, and any relevant code comments.

Contribute to an open-source Python project

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Gain hands-on experience and connect with the Python community by contributing to open-source projects.

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Review the project documentation and codebase.
Identify an open-source Python project that aligns with your interests and skill level.
Identify areas where you can contribute, such as bug fixes, feature enhancements, or documentation improvements.
Submit your contributions to the project and engage with the maintainers.

Career center

Learners who complete Try It: Intro to Python will develop knowledge and skills that may be useful to these careers:

Data Analyst

Data Analysts use programming languages like Python to analyze data, identify patterns, and build models. This course provides a solid foundation in Python, giving you the skills you need to succeed in this role.

See salaries and explore the career path for Data Analyst

Financial Analyst

Financial Analysts use Python to analyze financial data, build models, and make investment recommendations. This course will give you the Python skills you need to enter this field.

See salaries and explore the career path for Financial Analyst

Data Scientist

Data Scientists use Python to analyze data, build models, and develop machine learning applications. This course will provide you with the Python skills necessary for a successful career in this field.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

Machine Learning Engineers use Python to build and deploy machine learning models. This course will provide you with the Python skills and knowledge you need to succeed in this role.

See salaries and explore the career path for Machine Learning Engineer

Web Developer

Web Developers use Python to build and maintain websites. This course will provide you with the Python skills you need to enter this field.

See salaries and explore the career path for Web Developer

Software Engineer

Software Engineers use Python to design, develop, and maintain software applications. This course will provide you with the Python skills you need to enter this field.

See salaries and explore the career path for Software Engineer

DevOps Engineer

DevOps Engineers use Python to automate and manage software development and deployment processes. This course will provide you with the Python skills you need to succeed in this role.

See salaries and explore the career path for DevOps Engineer

Business Analyst

Business Analysts use Python to analyze data, identify business needs, and develop solutions. This course will provide you with the Python skills you need to enter this field.

See salaries and explore the career path for Business Analyst

Quantitative Analyst

Quantitative Analysts use Python to analyze financial data, build models, and make investment decisions. This course will provide you with the Python skills you need to enter this field.

See salaries and explore the career path for Quantitative Analyst

Data Engineer

Data Engineers use Python to build and maintain data pipelines and infrastructure. This course will provide you with the Python skills you need to enter this field.

See salaries and explore the career path for Data Engineer

Research Analyst

Research Analysts use Python to analyze data, identify trends, and make recommendations. This course will provide you with the Python skills you need to enter this field.

See salaries and explore the career path for Research Analyst

Product Manager

Product Managers use Python to analyze data, identify customer needs, and develop product roadmaps. This course will provide you with the Python skills you need to enter this field.

See salaries and explore the career path for Product Manager

Management Consultant

Management Consultants use Python to analyze data, solve business problems, and make recommendations. This course will provide you with the Python skills you need to enter this field.

See salaries and explore the career path for Management Consultant

Data Visualization Specialist

Data Visualization Specialists use Python to create data visualizations that communicate insights and trends. This course will provide you with the Python skills you need to enter this field.

See salaries and explore the career path for Data Visualization Specialist

Technical Writer

Technical Writers use Python to create technical documentation, such as user manuals and white papers. This course will provide you with the Python skills you need to enter this field.

See salaries and explore the career path for Technical Writer

Try It

Intro to Python

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Learning objectives

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