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Bill Boyd
The goal of the course is to introduce students to Python Version 3.x programming using hands on instruction. It will show how to install Python and use the Spyder IDE (Integrated Development Environment) for writing and debugging programs. The approach will...
Read more
The goal of the course is to introduce students to Python Version 3.x programming using hands on instruction. It will show how to install Python and use the Spyder IDE (Integrated Development Environment) for writing and debugging programs. The approach will...
Read more
The goal of the course is to introduce students to Python Version 3.x programming using hands on instruction. It will show how to install Python and use the Spyder IDE (Integrated Development Environment) for writing and debugging programs. The approach will be to present an example followed by a small exercise where the learner tries something similar to solidify a concept. At the end of each module there will be an exercise where the student is required to write simple programs and submit them for grading. It is intended for students with little or no programming background, although students with such a background should be able to move forward at their preferred pace.
The course is four modules long and is designed to be completed in four weeks.
SPECIAL NOTE: Python Programming: A Concise Introduction course will close for new learner enrollment on 2/16/22. In order to earn a Course Certificate, you will need to complete all graded assignments by 8/16/22. If you are interested in earning a Course Certificate for this course, please upgrade or apply for Financial Aid by 8/16/22. If you are a Coursera for Business learner, you can continue to use your sponsored credit through that date.
Register for this course and see more details by visiting:
OpenCourser.com/course/14esxz/python
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Teaches Python Version 3.x, which is widely used in data science, machine learning, web development, and many other fields
Provides hands-on instruction through exercises and assignments, which helps learners solidify concepts and gain practical experience
Designed for students with little or no programming background, making it accessible to beginners
Offers a comprehensive introduction to Python programming, covering installation, IDE usage, and program writing
Aligned with industry standards, ensuring that learners acquire skills and knowledge that are relevant in the workplace
Taught by Bill Boyd, an experienced instructor with a strong background in computer science and programming
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Reviews summary
Python programming: a concise introduction
This beginner's course gives a quick overview of Python programming. It is particularly well-suited for those with little to no programming background, providing hands-on instruction in topics like installing Python, using the Spyder IDE, and practicing programming concepts through exercises. The course emphasizes essential skills like using functions, manipulating data, and writing simple programs, making it an excellent starting point for anyone interested in learning Python.
The course emphasizes hands-on learning through exercises and graded assignments, allowing students to apply what they learn immediately.
"It will show how to install Python and use the Spyder IDE (Integrated Development Environment) for writing and debugging programs."
"The approach will be to present an example followed by a small exercise where the learner tries something similar to solidify a concept."
The course lives up to its title, providing a concise yet comprehensive introduction to Python, covering essential topics without overwhelming beginners.
"This course is titled "Python Programming: A Concise Introduction"."
"Its description is: "The goal of the course is to introduce students to Python Version 3.x programming using hands on instruction.""
The course is tailored specifically for beginners with little to no programming experience, making complex concepts easier to grasp.
"The course is four modules long and is designed to be completed in four weeks."
"It is intended for students with little or no programming background, although students with such a background should be able to move forward at their preferred pace."
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 Python Programming: A Concise Introduction with these
activities:
Read 'Head First Python'
Show steps
Provides a comprehensive overview of Python concepts and best practices
View
Head First Python: A Learner's Guide to the...
on Amazon
Show steps
-
Acquire a copy of 'Head First Python'
-
Read and take notes on the material
-
Complete the exercises and projects in the book
Join a Python study group
Show steps
Fosters peer learning and collaboration
Show steps
-
Find or start a Python study group
-
Meet regularly to discuss course material, work on projects, and provide support
-
Share resources and knowledge with other members
Create a Python script that prints the Fibonacci sequence
Show steps
Reinforces understanding of loops and sequences in Python
Show steps
-
Install Python and set up a development environment
-
Create a new Python script in the IDE
-
Write code to generate the Fibonacci sequence using a loop
-
Run the script to verify the output
Four other activities
Expand to see all activities and additional details
Show all seven activities
Attend a Python coding workshop
Show steps
Provides hands-on experience and networking opportunities
Show steps
-
Find a Python coding workshop in your area
-
Register for the workshop
-
Attend the workshop and actively participate in the activities
-
Connect with other participants and industry professionals
Follow a tutorial on using the Django web framework
Show steps
Expands knowledge of Python by introducing a popular web development framework
Browse courses on
Django
Show steps
-
Find a comprehensive Django tutorial
-
Set up a development environment for Django
-
Follow the tutorial step-by-step, building a Django web application
-
Deploy the web application to a hosting platform
Write a blog post explaining the concept of object-oriented programming in Python
Show steps
Solidifies understanding of OOP principles and improves written communication skills
Browse courses on
Object-Oriented Programming
Show steps
-
Research OOP concepts and Python implementation
-
Write an outline for the blog post
-
Draft the content, explaining OOP principles and how they are applied in Python
-
Proofread and edit the blog post
-
Publish the blog post on a relevant platform
Participate in a Python coding competition
Show steps
Challenges skills and provides motivation for learning
Show steps
-
Find a suitable Python coding competition
-
Form a team or participate individually
-
Develop a solution to the competition challenge
-
Submit the solution and wait for results
Read 'Head First Python'
Show steps
Provides a comprehensive overview of Python concepts and best practices
View
Head First Python: A Learner's Guide to the...
on Amazon
Show steps
Show steps
Show steps
- Acquire a copy of 'Head First Python'
- Read and take notes on the material
- Complete the exercises and projects in the book
Join a Python study group
Show steps
Fosters peer learning and collaboration
Show steps
Show steps
Show steps
- Find or start a Python study group
- Meet regularly to discuss course material, work on projects, and provide support
- Share resources and knowledge with other members
Create a Python script that prints the Fibonacci sequence
Show steps
Reinforces understanding of loops and sequences in Python
Show steps
Show steps
Show steps
- Install Python and set up a development environment
- Create a new Python script in the IDE
- Write code to generate the Fibonacci sequence using a loop
- Run the script to verify the output
Four other activities
Expand to see all activities and additional details
Show all seven activities
Attend a Python coding workshop
Show steps
Provides hands-on experience and networking opportunities
Show steps
Show steps
Show steps
- Find a Python coding workshop in your area
- Register for the workshop
- Attend the workshop and actively participate in the activities
- Connect with other participants and industry professionals
Follow a tutorial on using the Django web framework
Show steps
Expands knowledge of Python by introducing a popular web development framework
Browse courses on
Django
Show steps
Show steps
Show steps
- Find a comprehensive Django tutorial
- Set up a development environment for Django
- Follow the tutorial step-by-step, building a Django web application
- Deploy the web application to a hosting platform
Write a blog post explaining the concept of object-oriented programming in Python
Show steps
Solidifies understanding of OOP principles and improves written communication skills
Browse courses on
Object-Oriented Programming
Show steps
Show steps
Show steps
- Research OOP concepts and Python implementation
- Write an outline for the blog post
- Draft the content, explaining OOP principles and how they are applied in Python
- Proofread and edit the blog post
- Publish the blog post on a relevant platform
Participate in a Python coding competition
Show steps
Challenges skills and provides motivation for learning
Show steps
Show steps
Show steps
- Find a suitable Python coding competition
- Form a team or participate individually
- Develop a solution to the competition challenge
- Submit the solution and wait for results
Career center
Learners who complete Python Programming: A Concise Introduction will develop knowledge and skills
that may be useful to these careers:
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. Python is a popular programming language for web development, data science, and machine learning. This course may be useful for aspiring Software Engineers who want to learn the basics of Python programming and how to use it to build software applications.
Web Developer
Web Developer
Web Developers design and develop websites. Python is a popular programming language for web development, as it allows developers to build dynamic and interactive websites. This course may be useful for aspiring Web Developers who want to learn the basics of Python programming and how to use it to build websites.
Business Analyst
Business Analyst
Business Analysts use data to improve business processes. Python programming is a valuable skill for Business Analysts, as it allows them to automate data analysis tasks, build data visualization dashboards, and develop business intelligence reports. This course may be particularly useful for aspiring Business Analysts who want to build a foundation in Python programming.
Data Analyst
Data Analyst
Data Analysts collect, clean, and analyze data to help businesses make informed decisions. Python programming is a valuable skill for Data Analysts, as it allows them to automate data processing tasks, build data visualization dashboards, and develop machine learning models. This course may be particularly useful for aspiring Data Analysts who want to build a foundation in Python programming.
Healthcare Analyst
Healthcare Analyst
Healthcare Analysts use data to improve the quality and efficiency of healthcare delivery. Python programming is a valuable skill for Healthcare Analysts, as it allows them to automate data analysis tasks, build healthcare models, and develop healthcare management strategies. This course may be particularly useful for aspiring Healthcare Analysts who want to build a foundation in Python programming.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design and develop machine learning models. Python is a popular programming language for machine learning, as it provides a wide range of libraries and tools for building and deploying machine learning models. This course may be particularly useful for aspiring Machine Learning Engineers who want to build a foundation in Python programming.
Data Scientist
Data Scientist
Data Scientists use data to solve business problems. Python is a valuable skill for Data Scientists, as it allows them to clean and analyze data, build machine learning models, and visualize their results. This course may be particularly useful for aspiring Data Scientists who want to build a foundation in Python programming.
Financial Analyst
Financial Analyst
Financial Analysts use data to make investment decisions. Python programming is a valuable skill for Financial Analysts, as it allows them to automate data analysis tasks, build financial models, and develop trading strategies. This course may be particularly useful for aspiring Financial Analysts who want to build a foundation in Python programming.
Risk Analyst
Risk Analyst
Risk Analysts identify and manage risks to businesses. Python programming is a valuable skill for Risk Analysts, as it allows them to automate data analysis tasks, build risk models, and develop risk management strategies. This course may be particularly useful for aspiring Risk Analysts who want to build a foundation in Python programming.
Product Manager
Product Manager
Product Managers are responsible for the development and launch of new products. Python programming is a valuable skill for Product Managers, as it allows them to collect and analyze data about customer needs, develop product roadmaps, and manage product development teams. This course may be particularly useful for aspiring Product Managers who want to build a foundation in Python programming.
Data Engineer
Data Engineer
Data Engineers design and build data pipelines to move data between different systems. Python is a popular programming language for data engineering, as it allows engineers to automate data processing tasks and build data pipelines that can handle large amounts of data. This course may be particularly useful for aspiring Data Engineers who want to build a foundation in Python programming.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use mathematical and statistical models to analyze financial data. Python programming is a valuable skill for Quantitative Analysts, as it allows them to automate data analysis tasks, build financial models, and develop trading strategies. This course may be particularly useful for aspiring Quantitative Analysts who want to build a foundation in Python programming.
Actuary
Actuary
Actuaries use mathematical and statistical models to assess and manage financial risks. Python programming is a valuable skill for Actuaries, as it allows them to automate data analysis tasks, build financial models, and develop risk management strategies. This course may be particularly useful for aspiring Actuaries who want to build a foundation in Python programming.
Insurance Analyst
Insurance Analyst
Insurance Analysts use data to assess and manage risks for insurance companies. Python programming is a valuable skill for Insurance Analysts, as it allows them to automate data analysis tasks, build insurance models, and develop risk management strategies. This course may be particularly useful for aspiring Insurance Analysts who want to build a foundation in Python programming.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use mathematical models to solve business problems. Python programming is a popular programming language for operations research, as it provides a wide range of libraries and tools for building and solving mathematical models. This course may be useful for aspiring Operations Research Analysts who want to learn the basics of Python programming and how to use it to solve business problems.
For more career information including salaries, visit:
OpenCourser.com/course/14esxz/python
Reading list
We've selected 13 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
Python Programming: A Concise Introduction.
Save
Provides a comprehensive introduction to Python programming, with a focus on practical examples and exercises. It valuable resource for beginners who are looking to learn the basics of Python.
Project-based introduction to Python programming. It is designed for beginners who have no prior programming experience.
Practical guide to automating tasks with Python. It valuable resource for learners who are interested in using Python for practical applications, such as web scraping, data analysis, and system administration.
Save
Free online textbook that provides a comprehensive introduction to Python programming. It valuable resource for beginners who are looking to learn the basics of Python.
Save
Free online textbook that provides a comprehensive introduction to computer science and programming. It valuable resource for learners who are interested in learning the fundamentals of computer science and programming.
Textbook that provides a comprehensive introduction to computation and programming using Python. It valuable resource for learners who are interested in learning the fundamentals of computer science and programming.
Save
Textbook that provides a comprehensive introduction to computer science and programming using Python. It valuable resource for learners who are interested in learning the fundamentals of computer science and programming.
Save
Reference guide to the Python programming language. It valuable resource for learners who are looking for a comprehensive reference to the Python programming language.
Textbook that provides a comprehensive introduction to natural language processing with Python. It valuable resource for learners who are interested in using Python for natural language processing.
Textbook that provides a comprehensive introduction to deep learning with Python. It valuable resource for learners who are interested in using Python for deep learning.
Save
Reference guide to the Python standard library. It valuable resource for learners who are looking for a comprehensive reference to the Python standard library.
Quick reference guide to the Python programming language. It valuable resource for learners who are looking for a quick reference to the Python programming language.
Save
Quick reference guide to the Python programming language. It valuable resource for learners who are looking for a quick reference to the Python programming language.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/14esxz/python
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Time
21 hours
Via
Coursera
Institution
Wesleyan University
Instructor
Bill Boyd
Good to know
Teaches Python Version 3.x, which is widely used in data science, machine learning, web development, and many other fields
Provides hands-on instruction through exercises and assignments, which helps learners solidify concepts and gain practical experience
Designed for students with little or no programming background, making it accessible to beginners
Offers a comprehensive introduction to Python programming, covering installation, IDE usage, and program writing
Aligned with industry standards, ensuring that learners acquire skills and knowledge that are relevant in the workplace
Taught by Bill Boyd, an experienced instructor with a strong background in computer science and programming
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