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 Data Analytics Accelerated Training Program with the Tulsa Community College. If you enroll in this Try It, your learner data will not be shared with the Tulsa Community College unless you enroll in the Data Analytics Accelerated Training Program.

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

A natural fit for learners in roles ranging from energy to finance, retail, and marketing

Ideal for individuals looking to leverage Python for tasks such as data visualization, scientific computing, and web development

A stepping stone into boot camps for careers such as data analysts, financial analysts, and data scientists

Provides a hands-on introduction to writing Python scripts for automating tasks, analyzing data, and building web applications

Covers core skills in data analysis, machine learning, and data science, preparing learners for careers in these fields

Open to individuals of all programming experience levels, providing a well-rounded foundation for both beginners and experienced learners

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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This book provides a comprehensive and practical guide to Python

View Python Crash Course, 3rd Edition: A Hands-On,... on Amazon

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Purchase or borrow a copy of 'Python Crash Course'
Read the book thoroughly
Complete the practice exercises in the book

Review Python syntax

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Practicing Python syntax will help you build a strong foundation for the course

Browse courses on Python Syntax

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Review online tutorials or documentation on Python syntax
Complete practice exercises or coding challenges

Follow online Python tutorials

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Following online tutorials will provide you with structured guidance and support as you learn Python

Browse courses on Online Learning

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Search for reputable Python tutorials or courses online
Select a tutorial that aligns with your learning goals
Follow the tutorial instructions step-by-step

Three other activities

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Show all six activities

Code simple Python programs

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Coding simple programs will help you apply your knowledge of Python syntax and improve your programming skills

Browse courses on Python Programming

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Choose a simple programming problem or task
Plan out your code and write a pseudocode outline
Code your solution in Python
Test and debug your code

Connect with experienced Python developers

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Seeking guidance from experienced Python developers can accelerate your learning and provide valuable insights

Browse courses on Networking

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Attend Python meetups or conferences
Reach out to Python developers on LinkedIn or online forums
Ask for guidance and advice

Contribute to open-source Python projects

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Contributing to open-source projects allows you to apply your skills, learn from others, and make a valuable contribution to the Python community

Browse courses on Software Development

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Identify open-source Python projects that align with your interests
Review the project documentation and codebase
Identify areas where you can contribute
Submit your contributions for review

Career center

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

Web Developer

Web Developers use Python for server-side scripting and creating dynamic web pages. This course will provide you with the foundation you need to become a successful Web Developer, with a focus on the core concepts of Python and how they can be applied to web development. You will learn how to use Python to build web applications, automate tasks, and collect data from websites. This course will also introduce you to the basics of data analysis and machine learning, which are essential skills for a Web Developer in today's market.

See salaries and explore the career path for Web Developer

Data Analyst

Data Analysts use Python for data cleaning, analysis, and visualization. This course will help you build a strong foundation in Python and introduce you to the core concepts of data analysis. You will learn how to use Python to collect data from a variety of sources, clean and prepare data for analysis, and visualize data to identify trends and patterns. This course will also introduce you to the basics of machine learning, which is an essential skill for a Data Analyst in today's market.

See salaries and explore the career path for Data Analyst

Data Scientist

Data Scientists use Python for machine learning, data mining, and predictive analytics. This course will help you build a strong foundation in Python and introduce you to the core concepts of machine learning. You will learn how to use Python to build machine learning models, evaluate model performance, and make predictions. This course will also introduce you to the basics of data analysis, which is an essential skill for a Data Scientist in today's market.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

Machine Learning Engineers use Python for building, deploying, and maintaining machine learning models. This course will help you build a strong foundation in Python and introduce you to the core concepts of machine learning. You will learn how to use Python to build machine learning models, evaluate model performance, and deploy models to production. This course will also introduce you to the basics of data analysis, which is an essential skill for a Machine Learning Engineer in today's market.

See salaries and explore the career path for Machine Learning Engineer

Software Engineer

Software Engineers use Python for a variety of tasks, including web development, data analysis, and machine learning. This course will help you build a strong foundation in Python and introduce you to the core concepts of software engineering. You will learn how to use Python to design, develop, and test software applications. This course will also introduce you to the basics of data analysis and machine learning, which are essential skills for a Software Engineer in today's market.

See salaries and explore the career path for Software Engineer

Business Analyst

Business Analysts use Python for data analysis, modeling, and forecasting. This course will help you build a strong foundation in Python and introduce you to the core concepts of business analysis. You will learn how to use Python to analyze data, build models, and make predictions. This course will also introduce you to the basics of data visualization, which is an essential skill for a Business Analyst in today's market.

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Financial Analyst

Financial Analysts use Python for data analysis, modeling, and forecasting. This course will help you build a strong foundation in Python and introduce you to the core concepts of financial analysis. You will learn how to use Python to analyze financial data, build models, and make predictions. This course will also introduce you to the basics of data visualization, which is an essential skill for a Financial Analyst in today's market.

See salaries and explore the career path for Financial Analyst

Data Engineer

Data Engineers use Python for data integration, transformation, and storage. This course will help you build a strong foundation in Python and introduce you to the core concepts of data engineering. You will learn how to use Python to extract data from a variety of sources, transform data into a usable format, and store data in a database. This course will also introduce you to the basics of data analysis, which is an essential skill for a Data Engineer in today's market.

See salaries and explore the career path for Data Engineer

Marketing Analyst

Marketing Analysts use Python for data analysis, modeling, and forecasting. This course will help you build a strong foundation in Python and introduce you to the core concepts of marketing analysis. You will learn how to use Python to analyze marketing data, build models, and make predictions. This course will also introduce you to the basics of data visualization, which is an essential skill for a Marketing Analyst in today's market.

See salaries and explore the career path for Marketing Analyst

Operations Analyst

Operations Analysts use Python for data analysis, modeling, and forecasting. This course will help you build a strong foundation in Python and introduce you to the core concepts of operations analysis. You will learn how to use Python to analyze operations data, build models, and make predictions. This course will also introduce you to the basics of data visualization, which is an essential skill for an Operations Analyst in today's market.

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Risk Analyst

Risk Analysts use Python for data analysis, modeling, and forecasting. This course will help you build a strong foundation in Python and introduce you to the core concepts of risk analysis. You will learn how to use Python to analyze risk data, build models, and make predictions. This course will also introduce you to the basics of data visualization, which is an essential skill for a Risk Analyst in today's market.

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Consultant

Consultants use Python for data analysis, modeling, and forecasting. This course will help you build a strong foundation in Python and introduce you to the core concepts of consulting. You will learn how to use Python to analyze data, build models, and make predictions. This course will also introduce you to the basics of data visualization, which is an essential skill for a Consultant in today's market.

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Project Manager

Project Managers use Python for data analysis, modeling, and forecasting. This course will help you build a strong foundation in Python and introduce you to the core concepts of project management. You will learn how to use Python to analyze project data, build models, and make predictions. This course will also introduce you to the basics of data visualization, which is an essential skill for a Project Manager in today's market.

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Product Manager

Product Managers use Python for data analysis, modeling, and forecasting. This course will help you build a strong foundation in Python and introduce you to the core concepts of product management. You will learn how to use Python to analyze product data, build models, and make predictions. This course will also introduce you to the basics of data visualization, which is an essential skill for a Product Manager in today's market.

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Technical Writer

Technical Writers use Python for writing documentation and tutorials. This course may be useful for those who want to become a Technical Writer, as it provides a foundation in Python and introduces the core concepts of technical writing. You will learn how to use Python to write clear and concise documentation, and how to use data visualization to illustrate technical concepts.

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