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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
Read more
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
Read more
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, Fintech Boot Camp and Data Analytics Boot Camp with the University of Minnesota. If you enroll in this Try It, your learner data will not be shared with the University of Minnesota unless you enroll in the Coding Boot Camp, Fintech Boot Camp and Data Analytics Boot Camp.
Register for this course and see more details by visiting:
OpenCourser.com/course/6lfelj/try
What's inside
Learning objective
-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
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Introduces Python, which is highly relevant to many industries, such as energy, healthcare, and marketing
Lays a foundation for careers such as data analysts, financial analysts, and data scientists
Develops the core skill of variable creation and naming, which is essential for programming
Builds upon conditional logic, enabling learners to automate complex decision-making
Teaches Python's interaction with a console, enhancing understanding of program execution
Save this course
Save Try It: Intro to Python to your list so you can find it easily later:
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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'
Show steps
Expand your knowledge of Python through a beginner-friendly book
View
Python Crash Course, 3rd Edition: A Hands-On,...
on Amazon
Show steps
-
Acquire a copy of 'Python Crash Course'
-
Read through the book, taking notes and completing exercises
-
Discuss the concepts with a study partner or online forum
Join a Python Study Group
Show steps
Enhance your learning through collaboration and discussion with peers
Browse courses on
Python
Show steps
-
Find or create a study group specifically focused on Python
-
Meet regularly to discuss concepts, work on projects, and support each other's learning
-
Share resources, tips, and best practices
Take a Python Tutorial on Conditional Statements
Show steps
Supplement your understanding of conditional statements with an interactive tutorial
Browse courses on
Python
Show steps
-
Search for a reputable Python tutorial on conditional statements
-
Follow the tutorial step-by-step
-
Complete the exercises and quizzes provided
Four other activities
Expand to see all activities and additional details
Show all seven activities
Practice Writing Python Code
Show steps
Increase your fluency by practicing writing basic Python code
Browse courses on
Python
Show steps
-
Review the syntax of Python functions
-
Attempt practice problems
-
Check your answers and debug errors
Create a Python Function for Automating a Task
Show steps
Reinforce your understanding of Python functions by creating one for a real-world task
Browse courses on
Python
Show steps
-
Identify a task that can be automated
-
Design the function's input and output
-
Write the Python code for the function
-
Test and debug the function
Build a Simple Python Calculator
Show steps
Apply your knowledge of Python by creating a practical application
Browse courses on
Python
Show steps
-
Design the calculator's interface
-
Write the Python code for the calculator's functionality
-
Test and debug the calculator
-
Share your calculator with others
Contribute to a Python Open-Source Project
Show steps
Gain practical experience and contribute to the Python community
Browse courses on
Python
Show steps
-
Identify a Python open-source project that aligns with your interests
-
Review the project's documentation and codebase
-
Identify an area where you can make a meaningful contribution
-
Submit a pull request with your proposed changes
-
Collaborate with the project maintainers to refine your contribution
Read 'Python Crash Course'
Show steps
Expand your knowledge of Python through a beginner-friendly book
View
Python Crash Course, 3rd Edition: A Hands-On,...
on Amazon
Show steps
Show steps
Show steps
- Acquire a copy of 'Python Crash Course'
- Read through the book, taking notes and completing exercises
- Discuss the concepts with a study partner or online forum
Join a Python Study Group
Show steps
Enhance your learning through collaboration and discussion with peers
Browse courses on
Python
Show steps
Show steps
Show steps
- Find or create a study group specifically focused on Python
- Meet regularly to discuss concepts, work on projects, and support each other's learning
- Share resources, tips, and best practices
Take a Python Tutorial on Conditional Statements
Show steps
Supplement your understanding of conditional statements with an interactive tutorial
Browse courses on
Python
Show steps
Show steps
Show steps
- Search for a reputable Python tutorial on conditional statements
- Follow the tutorial step-by-step
- Complete the exercises and quizzes provided
Four other activities
Expand to see all activities and additional details
Show all seven activities
Practice Writing Python Code
Show steps
Increase your fluency by practicing writing basic Python code
Browse courses on
Python
Show steps
Show steps
Show steps
- Review the syntax of Python functions
- Attempt practice problems
- Check your answers and debug errors
Create a Python Function for Automating a Task
Show steps
Reinforce your understanding of Python functions by creating one for a real-world task
Browse courses on
Python
Show steps
Show steps
Show steps
- Identify a task that can be automated
- Design the function's input and output
- Write the Python code for the function
- Test and debug the function
Build a Simple Python Calculator
Show steps
Apply your knowledge of Python by creating a practical application
Browse courses on
Python
Show steps
Show steps
Show steps
- Design the calculator's interface
- Write the Python code for the calculator's functionality
- Test and debug the calculator
- Share your calculator with others
Contribute to a Python Open-Source Project
Show steps
Gain practical experience and contribute to the Python community
Browse courses on
Python
Show steps
Show steps
Show steps
- Identify a Python open-source project that aligns with your interests
- Review the project's documentation and codebase
- Identify an area where you can make a meaningful contribution
- Submit a pull request with your proposed changes
- Collaborate with the project maintainers to refine your contribution
Career center
Learners who complete Try It: Intro to Python will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists use data to build models that can predict future outcomes. Python is a valuable tool for Data Scientists because it can be used to automate data analysis and modeling tasks, as well as to create visualizations that can help communicate insights to stakeholders. This course provides an introduction to Python, which can help aspiring Data Scientists build a foundation in this essential tool.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. Python is a popular programming language for Software Engineers because it is easy to learn and use, and it is well-suited for a variety of applications. This course provides an introduction to Python, which can help aspiring Software Engineers build a foundation in this essential language.
Data Analyst
Data Analyst
Data Analysts collect, clean, and analyze data to help businesses make informed decisions. Python is a valuable tool for Data Analysts because it can be used to automate data processing and analysis tasks, as well as to create visualizations that can help communicate insights to stakeholders. This course provides an introduction to Python, which can help aspiring Data Analysts build a foundation in this essential tool.
Web Developer
Web Developer
Web Developers design and develop websites. Python is a popular programming language for Web Developers because it is versatile and can be used for a variety of web development tasks, including server-side scripting, data analysis, and machine learning. This course provides an introduction to Python, which can help aspiring Web Developers build a foundation in this essential language.
Financial Analyst
Financial Analyst
Financial Analysts use data to make recommendations about investments and financial decisions. Python is a valuable tool for Financial Analysts because it can be used to automate data analysis tasks, as well as to create visualizations that can help communicate insights to clients. This course provides an introduction to Python, which can help aspiring Financial Analysts build a foundation in this essential tool.
Data Engineer
Data Engineer
Data Engineers design and build data pipelines, and maintain data infrastructure. Python is a popular programming language for Data Engineers because it is versatile and can be used for a variety of data engineering tasks, including data cleaning, data transformation, and data analysis. This course provides an introduction to Python, which can help aspiring Data Engineers build a foundation in this essential language.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers build and maintain machine learning models. Python is a popular programming language for Machine Learning Engineers because it has a large ecosystem of machine learning libraries and tools. This course provides an introduction to Python, which can help aspiring Machine Learning Engineers build a foundation in this essential language.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use mathematical and statistical models to analyze financial data. Python is a valuable tool for Quantitative Analysts because it can be used to automate data analysis and modeling tasks, as well as to create visualizations that can help communicate insights to stakeholders. This course provides an introduction to Python, which can help aspiring Quantitative Analysts build a foundation in this essential tool.
Business Analyst
Business Analyst
Business Analysts use data to help businesses make informed decisions. Python is a valuable tool for Business Analysts because it can be used to automate data analysis tasks, as well as to create visualizations that can help communicate insights to stakeholders. This course provides an introduction to Python, which can help aspiring Business Analysts build a foundation in this essential tool.
Statistician
Statistician
Statisticians collect, analyze, and interpret data. Python is a valuable tool for Statisticians because it can be used to automate data analysis tasks, as well as to create visualizations that can help communicate insights to stakeholders. This course provides an introduction to Python, which can help aspiring Statisticians build a foundation in this essential tool.
Actuary
Actuary
Actuaries use mathematical and statistical models to assess risk. Python is a valuable tool for Actuaries because it can be used to automate data analysis and modeling tasks, as well as to create visualizations that can help communicate insights to stakeholders. This course provides an introduction to Python, which can help aspiring Actuaries build a foundation in this essential tool.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use mathematical and statistical models to solve business problems. Python is a valuable tool for Operations Research Analysts because it can be used to automate data analysis and modeling tasks, as well as to create visualizations that can help communicate insights to stakeholders. This course provides an introduction to Python, which can help aspiring Operations Research Analysts build a foundation in this essential tool.
Data Journalist
Data Journalist
Data Journalists use data to tell stories and explain complex issues. Python is a valuable tool for Data Journalists because it can be used to automate data analysis tasks, as well as to create visualizations that can help communicate insights to readers. This course provides an introduction to Python, which can help aspiring Data Journalists build a foundation in this essential tool.
Data Visualization Specialist
Data Visualization Specialist
Data Visualization Specialists create visualizations that communicate data insights to stakeholders. Python is a valuable tool for Data Visualization Specialists because it can be used to create a variety of visualizations, including charts, graphs, and maps. This course provides an introduction to Python, which can help aspiring Data Visualization Specialists build a foundation in this essential tool.
Health Data Analyst
Health Data Analyst
Health Data Analysts use data to improve the quality and efficiency of healthcare. Python is a valuable tool for Health Data Analysts because it can be used to automate data analysis tasks, as well as to create visualizations that can help communicate insights to stakeholders. This course provides an introduction to Python, which can help aspiring Health Data Analysts build a foundation in this essential tool.
For more career information including salaries, visit:
OpenCourser.com/course/6lfelj/try
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, project-based introduction to Python programming. It's a great resource for learners who want to quickly get started with Python and build their skills through hands-on projects.
Save
Fun and engaging introduction to Python that uses a visual, brain-friendly approach. It's a great resource for learners who want to understand the fundamentals of Python in a memorable way.
Practical guide to using Python for automating everyday tasks and solving common problems. It's a great resource for learners who want to learn how to use Python to make their lives easier.
Save
Comprehensive introduction to Python programming that covers the fundamentals of computer science. It's a great resource for learners who want to build a solid foundation in Python and computer science.
Save
Guide to writing clear, concise, and effective Python code. It's a great resource for learners who want to improve their Python coding skills and learn best practices.
Save
Collection of practical recipes and solutions to common Python programming problems. It's a great resource for learners who want to find quick and easy solutions to their Python coding challenges.
Save
Free online textbook that teaches the fundamentals of Python programming and computer science. It's a great resource for learners who want to learn Python and computer science concepts in a clear and accessible way.
Guide to using Python for data analysis. It's a great resource for learners who want to learn how to use Python to clean, manipulate, and analyze data.
Guide to using Python for machine learning. It's a great resource for learners who want to learn how to use Python to build and train machine learning models.
Guide to using Python for natural language processing. It's a great resource for learners who want to learn how to use Python to process and analyze natural language data.
Guide to using Python for finance and data analysis. It's a great resource for learners who want to learn how to use Python to analyze financial data and build financial models.
Save
Guide to using Python for web development with Django. It's a great resource for learners who want to learn how to use Python to build and deploy web applications.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/6lfelj/try
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Effort
1 to 2 hours per week for 1 week
Level
Introductory
Via
edX
Institution
University of Minnesota
Language
English
Transcript
English
Good to know
Introduces Python, which is highly relevant to many industries, such as energy, healthcare, and marketing
Lays a foundation for careers such as data analysts, financial analysts, and data scientists
Develops the core skill of variable creation and naming, which is essential for programming
Builds upon conditional logic, enabling learners to automate complex decision-making
Teaches Python's interaction with a console, enhancing understanding of program execution
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