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Programming & Data Structures

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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.

Learners can expect to review the technical coursework as well as complete a self-assessment.

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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.

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Read about what's good
what should give you pause
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

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Reviews summary

Python programming and data structures foundation

According to students, this course provides a solid foundation in Python programming and data structures, with many appreciating the clear explanations and practical assignments that reinforce concepts. Learners highlight its effectiveness in demystifying object-oriented programming and preparing them for advanced topics. While praised for its self-paced format, a notable point raised is that it may require supplemental material for those with minimal or no prior Python experience, suggesting it's not ideal for absolute beginners. Overall, it's largely seen as a rewarding and valuable experience for developing core programming skills.
Offers flexibility but may limit direct instructor interaction.
"It's self-paced, which is great, but it also means less direct interaction when I had questions."
"I appreciated the flexibility of the self-paced format, which suited my schedule perfectly."
"This asynchronous course structure required self-discipline, but allowed me to deepen my understanding effectively."
Python basics felt rushed to some, while others found the pace suitable.
"The Python basics covered felt a bit rushed, so if you're a complete beginner, I think you might need supplemental material."
"I felt the pacing was just right for a self-paced format, allowing me to learn at my own speed."
"I think it tries to cover too much in a limited time, leading to some confusing parts."
Hands-on exercises deepen understanding and skill acquisition.
"The assignments really reinforce the concepts. I particularly enjoyed the section on linked lists and hash tables."
"I found the practical exercises essential for applying what I learned."
"The hands-on coding and projects were the strongest part of the course for me, making concepts stick."
Establishes a strong base in Python, data structures, and OOP.
"This course is absolutely fantastic for anyone looking to solidy their understanding of Python programming and fundamental data structures."
"I found this course excellent for strengthening core programming skills, especially the object-oriented programming section."
"As someone with prior programming experience, this course was perfect for formalizing my understanding of data structures and OOP in Python."
Not suitable for absolute beginners in Python programming.
"I struggled with this course. While the content outline seemed good, the delivery was not always beginner-friendly."
"I wouldn't recommend this to anyone starting from scratch. I felt it needs more basic content."
"If you're a complete beginner, you might need supplemental material for Python syntax to keep up with the 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 Programming & Data Structures with these activities:
Complete an introductory Python tutorial
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
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'
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
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
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
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
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
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.

Career center

Learners who complete Programming & Data Structures will develop knowledge and skills that may be useful to these careers:

Reading list

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Course image
Rating
1.0 Filled star Empty star Empty star Empty star Empty star
Effort
1 to 3 hours per week for 5 weeks
Level
Advanced
Via
edX
Institution
Columbia University
Instructor
Daniel Bauer
Language
English
Transcript
English
Traffic lights
Read about what's good
what should give you pause
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
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