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 Vanderbilt University. If you enroll in this Try It, your learner data will not be shared with Vanderbilt University 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.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Suitable for beginners with no programming experience

Taught using the latest version of Python

Provides a strong foundation for learners interested in data analysis and machine learning

Introduces core programming concepts like variables, functions, and conditional logic

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:

Read 'Python Crash Course'

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Gain a foundational understanding of Python concepts by reading through this comprehensive book.

View Python Crash Course, 2nd Edition: A Hands-On,... on Amazon

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Read each chapter thoroughly.
Complete the exercises provided in the book.
Refer to the book as a reference guide while working on your Python projects.

Solve Python coding challenges

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Sharpen your problem-solving abilities by practicing Python coding challenges on platforms like HackerRank or LeetCode.

Browse courses on Python Programming

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Choose a coding challenge platform.
Select a challenge that aligns with your skill level.
Attempt to solve the challenge using Python.
Review your solution and identify areas for improvement.

Create a Python script to automate a task

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Reinforce your understanding of Python syntax and functions by writing a script that automates a task.

Browse courses on Python Scripting

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Identify a task that can be automated.
Design the logic of the script.
Write the Python code.
Test and refine the script.

Three other activities

Expand to see all activities and additional details

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Follow tutorials on data visualization using Python

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Develop your data visualization skills by following tutorials on using Python libraries like Seaborn and Plotly.

Browse courses on Data Visualization

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Choose a data visualization library to learn.
Find tutorials and documentation for the library.
Follow the tutorials step-by-step to create data visualizations.
Experiment with different chart types and styles.

Follow tutorials on web development using Python

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Expand your Python skills by exploring tutorials on building web applications using frameworks like Flask and Django.

Browse courses on Web Development

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Choose a Python web framework to learn.
Find tutorials and documentation for the framework.
Follow the tutorials step-by-step to build a web application.
Experiment with different features and functionalities.

Volunteer as a Python mentor

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Enhance your understanding of Python by mentoring students or individuals who are new to the language.

Show steps

Identify a platform or organization where you can volunteer.
Create a profile and express your interest in mentoring.
Connect with individuals seeking Python guidance.
Provide support and guidance through online forums or one-on-one sessions.

Career center

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

Data Analyst

A Data Analyst uses coding, statistical modeling, and their understanding of business to uncover patterns and trends in data. These jobs are frequently found in both the private sector and government. Entry-level positions typically require a bachelor's degree, although a master's degree may be preferred and can increase advancement opportunities. This course may be useful for aspiring Data Analysts as it can build a foundation for the programming and data analysis skills necessary to get started in the field.

See salaries and explore the career path for Data Analyst

Financial Analyst

Financial Analysts use data and their understanding of economics to assess the performance of companies and make recommendations on investments. This role typically requires a bachelor's degree but may require a master's in business administration or a related field. This course may be useful for aspiring Financial Analysts as it can build a foundation for the programming skills required for many entry-level financial analyst positions.

See salaries and explore the career path for Financial Analyst

Software Developer

A Software Developer creates applications to solve problems. They write code for websites, applications, and other programs. This role typically requires a bachelor's degree in computer science or information technology, although entry-level positions may be available for those with relevant experience and coding skills. This course may be useful for aspiring Software Developers as it can build a foundation for the programming skills required for this role.

See salaries and explore the career path for Software Developer

Data Scientist

A Data Scientist uses data to build models and make predictions. They work on projects that require a deep understanding of statistical modeling and machine learning. This role typically requires a master's degree or PhD in computer science, statistics, or a related field. This course may be useful for aspiring Data Scientists as it can build a foundation for the programming skills required to get started in the field.

See salaries and explore the career path for Data Scientist

Web Developer

Web Developers create and maintain websites. They work with web designers to create a website's look and feel and then write code to make it functional. This role typically requires a bachelor's degree in computer science or a related field, although entry-level positions may be available for those with relevant skills and experience. This course may be useful for aspiring Web Developers as it can build a foundation for the programming skills required for this role.

See salaries and explore the career path for Web Developer

Machine Learning Engineer

A Machine Learning Engineer builds and deploys machine learning models. They apply statistical and computer science techniques to develop solutions to complex problems. This role typically requires a master's degree or PhD in computer science, machine learning, or a related field. This course may be useful for aspiring Machine Learning Engineers as it can build a foundation for the programming skills required to get started in the field.

See salaries and explore the career path for Machine Learning Engineer

Computer Programmer

A Computer Programmer writes code to create and maintain computer programs. They work on a variety of projects, from developing software for businesses to creating video games. This role typically requires a bachelor's degree in computer science or a related field, although entry-level positions may be available for those with relevant skills and experience. This course may be useful for aspiring Computer Programmers as it can build a foundation for the programming skills required for this role.

See salaries and explore the career path for Computer Programmer

Business Intelligence Analyst

A Business Intelligence Analyst uses data to help businesses make better decisions. They use statistical and data mining techniques to identify trends and insights that can help businesses improve their operations. This role typically requires a bachelor's degree in business or a related field, although a master's degree in business intelligence or a related field may be preferred. This course may be useful for aspiring Business Intelligence Analysts as it can build a foundation for the programming and data analysis skills necessary to get started in the field.

See salaries and explore the career path for Business Intelligence Analyst

Market Researcher

A Market Researcher conducts surveys and studies to collect data about consumer behavior. They use this data to help businesses understand their customers and develop marketing strategies. This role typically requires a bachelor's degree in marketing or a related field, although some entry-level positions may be available for those with relevant experience and skills. This course may be useful for aspiring Market Researchers as it can build a foundation for the data analysis skills required for this role.

See salaries and explore the career path for Market Researcher

Technical Writer

A Technical Writer creates technical documentation, such as user manuals, white papers, and training materials. They work with engineers and other technical experts to gather information and then write clear and concise documentation. This role typically requires a bachelor's degree in English or a related field, although some entry-level positions may be available for those with relevant experience and skills. This course may be useful for aspiring Technical Writers as it can build a foundation for the writing skills required for this role.

See salaries and explore the career path for Technical Writer

Quality Assurance Analyst

A Quality Assurance Analyst tests software and other products to ensure that they meet quality standards. They work with developers and other engineers to identify and fix defects. This role typically requires a bachelor's degree in computer science or a related field, although some entry-level positions may be available for those with relevant experience and skills. This course may be useful for aspiring Quality Assurance Analysts as it can build a foundation for the programming skills required for this role.

See salaries and explore the career path for Quality Assurance Analyst

Project Manager

A Project Manager plans and executes projects. They work with stakeholders to define project goals, develop a project plan, and track progress. This role typically requires a bachelor's degree in business or a related field, although some entry-level positions may be available for those with relevant experience and skills. This course may be useful for aspiring Project Managers as it can build a foundation for the organizational and communication skills required for this role.

See salaries and explore the career path for Project Manager

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Intro to Python

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