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Daniel Bauer
This self-paced, asynchronous course is recommended for learners who want to establish a solid knowledge base in data structures and basic programming in Python.
Read more
This self-paced, asynchronous course is recommended for learners who want to establish a solid knowledge base in data structures and basic programming in Python.
Read more
This self-paced, asynchronous course is recommended for learners who want to establish a solid knowledge base in data structures and basic programming in Python.
Learners can expect to review the technical coursework as well as complete a self-assessment.
Register for this course and see more details by visiting:
OpenCourser.com/course/87kufk/programming
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What's inside
Learning objectives
- This course will enable students to:
- Understand the components of python programs, including control structures, variables and data types and object oriented programming.
- This course will enable students to:
- Understand the components of python programs, including control structures, variables and data types and object oriented programming.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Provides a strong foundation for beginners in data structures and basic programming in Python
Taught by Daniel Bauer, an experienced instructor in data structures and programming
Save this course
Save Programming & Data Structures to your list so you can find it easily later:
Save
Save
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 Programming & Data Structures with these
activities:
Complete an introductory Python tutorial
Show steps
Guided tutorials offer a structured approach to learning the basics of Python, ensuring a solid foundation for the course.
Browse courses on
Python
Show steps
-
Identify a reputable online tutorial or course.
-
Follow the tutorial step-by-step, completing all exercises and activities.
-
Take notes and ask questions as needed.
Review basic data structures
Show steps
Revising basic data structures strengthens the foundation for understanding more complex data structures covered in the course, aiding in comprehension and retention.
Browse courses on
Data Structures
Show steps
-
Review notes or materials from previous courses on data structures.
-
Go through online resources or tutorials on data structures.
-
Solve simple exercises or problems related to data structures.
Read 'Python Crash Course'
Show steps
This book provides a comprehensive overview of Python, reinforcing concepts learned in the course and offering additional insights and examples.
View
Python Crash Course, 3rd Edition: A Hands-On,...
on Amazon
Show steps
-
Purchase or borrow the book.
-
Read the book thoroughly, taking notes and highlighting important concepts.
-
Complete the exercises and activities included in the book.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Join a study group for Python
Show steps
Engaging in peer sessions provides opportunities for students to collaborate, discuss concepts, and work through challenges together, leading to improved understanding and retention.
Browse courses on
Python
Show steps
-
Find a study group online or in your area.
-
Attend study sessions regularly and actively participate in discussions.
-
Share knowledge and assist other group members.
Solve Python coding challenges
Show steps
Practice drills provide hands-on experience in applying Python concepts, enhancing understanding and solidifying skills.
Browse courses on
Python
Show steps
-
Find online coding challenges or exercises.
-
Attempt to solve the challenges independently.
-
Review solutions and identify areas for improvement.
Organize course notes and materials
Show steps
Organizing materials helps students stay on top of the course materials, making it easier to review and reinforce concepts.
Show steps
-
Gather all notes, handouts, slides, and assignments.
-
Create a system for organizing the materials, such as using folders or a digital note-taking app.
-
Review the organized materials regularly.
Build a simple Python project
Show steps
Creating a project allows students to apply their Python skills in a practical setting, strengthening their understanding and developing their problem-solving abilities.
Browse courses on
Python
Show steps
-
Identify a project idea that aligns with the course content.
-
Design the project, including the problem it solves and the features it will have.
-
Implement the project using Python code.
-
Test and debug the project to ensure it functions correctly.
Contribute to an open-source Python project
Show steps
Participating in an open-source project provides practical experience in Python development, exposes students to real-world codebases, and fosters collaboration and problem-solving skills.
Browse courses on
Python
Show steps
-
Identify an open-source Python project that aligns with your interests and skills.
-
Familiarize yourself with the project's codebase and documentation.
-
Identify an area where you can contribute, such as bug fixes or feature enhancements.
-
Submit a pull request to the project.
Complete an introductory Python tutorial
Show steps
Guided tutorials offer a structured approach to learning the basics of Python, ensuring a solid foundation for the course.
Browse courses on
Python
Show steps
Show steps
Show steps
- Identify a reputable online tutorial or course.
- Follow the tutorial step-by-step, completing all exercises and activities.
- Take notes and ask questions as needed.
Review basic data structures
Show steps
Revising basic data structures strengthens the foundation for understanding more complex data structures covered in the course, aiding in comprehension and retention.
Browse courses on
Data Structures
Show steps
Show steps
Show steps
- Review notes or materials from previous courses on data structures.
- Go through online resources or tutorials on data structures.
- Solve simple exercises or problems related to data structures.
Read 'Python Crash Course'
Show steps
This book provides a comprehensive overview of Python, reinforcing concepts learned in the course and offering additional insights and examples.
View
Python Crash Course, 3rd Edition: A Hands-On,...
on Amazon
Show steps
Show steps
Show steps
- Purchase or borrow the book.
- Read the book thoroughly, taking notes and highlighting important concepts.
- Complete the exercises and activities included in the book.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Join a study group for Python
Show steps
Engaging in peer sessions provides opportunities for students to collaborate, discuss concepts, and work through challenges together, leading to improved understanding and retention.
Browse courses on
Python
Show steps
Show steps
Show steps
- Find a study group online or in your area.
- Attend study sessions regularly and actively participate in discussions.
- Share knowledge and assist other group members.
Solve Python coding challenges
Show steps
Practice drills provide hands-on experience in applying Python concepts, enhancing understanding and solidifying skills.
Browse courses on
Python
Show steps
Show steps
Show steps
- Find online coding challenges or exercises.
- Attempt to solve the challenges independently.
- Review solutions and identify areas for improvement.
Organize course notes and materials
Show steps
Organizing materials helps students stay on top of the course materials, making it easier to review and reinforce concepts.
Show steps
Show steps
Show steps
- Gather all notes, handouts, slides, and assignments.
- Create a system for organizing the materials, such as using folders or a digital note-taking app.
- Review the organized materials regularly.
Build a simple Python project
Show steps
Creating a project allows students to apply their Python skills in a practical setting, strengthening their understanding and developing their problem-solving abilities.
Browse courses on
Python
Show steps
Show steps
Show steps
- Identify a project idea that aligns with the course content.
- Design the project, including the problem it solves and the features it will have.
- Implement the project using Python code.
- Test and debug the project to ensure it functions correctly.
Contribute to an open-source Python project
Show steps
Participating in an open-source project provides practical experience in Python development, exposes students to real-world codebases, and fosters collaboration and problem-solving skills.
Browse courses on
Python
Show steps
Show steps
Show steps
- Identify an open-source Python project that aligns with your interests and skills.
- Familiarize yourself with the project's codebase and documentation.
- Identify an area where you can contribute, such as bug fixes or feature enhancements.
- Submit a pull request to the project.
Career center
Learners who complete Programming & Data Structures will develop knowledge and skills
that may be useful to these careers:
For more career information including salaries, visit:
OpenCourser.com/course/87kufk/programming
Reading list
We haven't picked any books for this reading list yet.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/87kufk/programming
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Effort
1 to 3 hours per week for 5 weeks
Level
Advanced
Via
edX
Institution
Columbia University
Instructor
Daniel Bauer
Session
June 1, 2024
- June 1, 2025
Language
English
Transcript
English
Good to know
Provides a strong foundation for beginners in data structures and basic programming in Python
Taught by Daniel Bauer, an experienced instructor in data structures and programming
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