AI Skillset Course
Programming in Python image
Current
Beginner
40% Off

Programming in Python

Coursera · Coursera · Updated

AI Tutor Rating

8.3/10

Duration

6 weeks, 3 hours/week

Classes

45

Comprehensive introduction to Python programming covering data structures, control flow, functions, and object-oriented programming. Build a strong foundation in one of the most popular programming languages.

Programming in Python on Coursera is a comprehensive six-week introduction designed to build a strong foundation in one of the most popular programming languages. The course covers core language constructs, data structures, control flow, functions, and object-oriented programming principles. It is listed under robotics hardware and embedded systems categories, suggesting it serves learners aiming to apply Python in technical domains, though the curriculum itself provides a broad software development foundation suitable for beginners from any background.

What you'll learn in Programming in Python

Master Python syntax and core language constructs
Work with data structures and algorithms
Implement object-oriented programming principles
Write clean, maintainable Python code

Our Review of Programming in Python

The structure of Programming in Python is clearly defined, with 45 lectures spread over six weeks at a suggested pace of three hours per week. This format provides a manageable, linear progression for beginners, moving from syntax and control flow to more complex topics like data structures, algorithms, and object-oriented programming. The curriculum, as outlined by the learning outcomes, suggests a learner will genuinely master Python's core constructs and be able to write clean, maintainable code, though the depth is foundational rather than specialized.

The teaching format is lecture-based, which is effective for conveying concepts but may require learners to seek additional practice environments to solidify skills. The course's value is significantly enhanced by its pricing model: it is free to audit, making the core education accessible to all, while a paid certificate is available for those needing formal proof of completion. This model positions the course as a low-risk, high-value entry point for absolute beginners, though the lack of stated interactive coding exercises within the description is a consideration for hands-on learners.

Pros and cons of Programming in Python

Pros

  • Free to audit, removing financial barriers to entry
  • Clear, structured 6-week timeline with defined weekly commitment
  • Comprehensive coverage of core Python, including OOP and data structures
  • Certificate available for a fee for formal credentialing
  • No prerequisites, making it truly beginner-friendly

Things to consider

  • Lecture-heavy format may lack built-in, interactive coding practice
  • Foundational depth may not satisfy learners seeking immediate robotics or embedded systems application
  • Outcomes focus on general software development, not the specific domain of its listed category

Who should take Programming in Python?

This course is best for absolute beginners with no prior coding experience who want a structured, university-style introduction to general Python programming. It fits learners seeking a comprehensive foundation in core language concepts, data structures, and object-oriented principles, particularly those who value a free audit option and a clear weekly schedule over highly project-based or domain-specific learning.

Programming in Python at a glance

Key facts about Programming in Python on Coursera
ProviderCoursera
InstructorCoursera
LevelBeginner
Time to complete6 weeks, 3 hours/week
PricingFree to audit, certificate available for fee
CertificateCertificate
PrerequisitesNone

Fit

Best for

Robotics Engineers
Embedded Developers
Mechanical Engineers
Makers

Not ideal for

Experts seeking deep specialization
Growth Leverage: Completing the Programming in Python course can open doors to roles such as Python Developer, Robotics Software Engineer, or Embedded Systems Engineer. It positions you to pursue certifications like the PCEP (Certified Entry-Level Python Programmer) and work on robotics projects, enhancing your appeal in the tech job market.
Skills Value: Employers pay a premium for Python skills due to its applicability in data science, automation, and robotics, with average salaries for Python Developers around $110,000 annually. Proficiency in Python enables individuals to solve complex programming challenges, enhancing productivity and innovation in various tech-driven sectors.
python
programming
data-structures
object-oriented
algorithms
software-development
Go to Course

The bottom line on Programming in Python

Programming in Python on Coursera is a robust and accessible foundational course that delivers on its promise to teach core language skills. Its free audit option and clear structure make it an excellent, low-risk starting point for total beginners, though learners should be prepared to supplement lectures with personal practice to achieve the stated outcomes of writing clean, maintainable code.

Programming in Python: frequently asked questions

What exactly does the Programming in Python course on Coursera teach you?

The Programming in Python course teaches a comprehensive introduction to the language, covering core syntax, data structures, control flow, functions, and object-oriented programming principles, with the goal of enabling you to write clean, maintainable code.

Do I need any prior experience to take this Python programming course?

No, this course has no prerequisites and is designed as a comprehensive introduction, making it suitable for absolute beginners with no prior programming experience.

How much does the Coursera Programming in Python course cost and is the certificate worth it?

The course is free to audit. A paid certificate is available for a fee, which is worth it if you require formal proof of completion for professional or academic purposes.

How does this Python course compare to other beginner options like coding bootcamps?

Compared to intensive bootcamps, this course offers a more academic, lecture-based foundation over six weeks for free, while bootcamps often provide faster, more project-driven training at a significant cost.

What is the best way to succeed in this Programming in Python course?

To get the most from this course, follow the suggested 3-hour weekly schedule, actively code along with the 45 lectures, and practice building small projects outside the platform to reinforce the concepts of data structures and object-oriented programming.

Alternatives to Programming in Python

Current
40% Off

Requirement Specifications for Autonomous Systems

Coursera · University of Technology

Our rating:8.3/10
7 weeks, 4 hours/week

Learn to define and document requirements for autonomous systems and robots. This course covers safety specifications, functional requirements, and validation processes essential for developing reliable autonomous systems.

Free to audit, $49 for certificate
View
Current
40% Off

Verification and Synthesis of Autonomous Systems

Coursera · Computer Science Institute

Our rating:8.3/10
10 weeks, 5 hours/week

Master formal methods for verifying and synthesizing autonomous systems. Learn model checking, automated synthesis techniques, and testing strategies to ensure safety and correctness of autonomous robots.

Free to audit, $49 for certificate
View
Current
40% Off

Introduction to Embedded Systems

Coursera · Coursera

Our rating:8.3/10
6 weeks, 4 hours/week

Comprehensive introduction to embedded systems architecture, design principles, and real-time operating systems. Explore microcontroller concepts, firmware development, and system constraints.

Free to audit, certificate available
View
Current
40% Off

Embedded Systems Using C

Coursera · Coursera

Our rating:8.3/10
7 weeks, 5 hours/week

Advanced programming course focused on developing embedded systems with C language. Master memory management, hardware interaction, and optimization techniques specific to resource-constrained environments.

Free to audit, certificate available
View

AI Course Alerts