# Learn Python: 2 Review (2026): 7.6/10 · Coursera · Free > Independent review of Learn Python: 2 on Coursera. Rated 7.6/10 by our editorial team. Pros, cons, price, and top alternatives. Free to enroll. Certificate a… Software Development Courses Learn Python: 2 ![Learn Python: 2](/api/media/file/hero/learn-python-2-course.webp?v=2?width=800) # Learn Python: 2 Course — Review (7.6/10) This course effectively builds on basic Python knowledge by focusing on core programming constructs like functions, conditionals, and loops. The hands-on approach helps reinforce learning through prac... Explore This Course 🎟️ Coursera Discount Offer Explore This Course Learn Python: 2 is a 7 weeks online beginner-level course on Coursera by Scrimba that covers software development. This course effectively builds on basic Python knowledge by focusing on core programming constructs like functions, conditionals, and loops. The hands-on approach helps reinforce learning through practical exercises. While the content is solid, it lacks advanced challenges for more experienced learners. Ideal for those transitioning from beginner to intermediate level. We rate it 7.6/10. ## Prerequisites No prior experience required. This course is designed for complete beginners in software development. ## Pros - Clear, step-by-step explanations of core Python concepts - Interactive exercises reinforce learning effectively - Free access lowers barrier to entry - Well-structured progression from functions to problem solving ## Cons - Limited depth in advanced use cases - Few real-world project examples - Minimal instructor interaction or feedback ## Learn Python: 2 Course Review Platform: Coursera Instructor: Scrimba Updated May 6, 2026·Editorial Standards·How We Rate ## What will you learn in Learn Python: 2 course - Master the use of functions including calling, parameters, and return statements - Implement conditionals to control program flow based on logical conditions - Utilize loops to automate repetitive tasks efficiently - Apply Boolean logic and comparison operators in decision-making - Build confidence in solving programming problems using core control structures ### Program Overview ### Module 1: Functions in Python Duration estimate: 2 weeks - Calling functions and understanding built-in functions - Defining custom functions with parameters - Using return statements to output values ### Module 2: Conditionals and Logic Duration: 2 weeks - Using if, elif, and else statements - Working with comparison operators (==, !=, <, >, etc.) - Combining conditions with Boolean logic (and, or, not) ### Module 3: Loops and Iteration Duration: 2 weeks - Creating for loops to iterate over sequences - Using while loops for conditional repetition - Controlling loop flow with break and continue ### Module 4: Practical Problem Solving Duration: 1 week - Combining functions, conditionals, and loops in projects - Debugging common logic errors - Writing clean, readable Python code ### Get certificate #### Job Outlook - Python is widely used in data science, automation, and web development - Foundational programming skills increase employability in tech roles - Understanding control flow is essential for software engineering interviews ## Editorial Take Learn Python: 2 by Scrimba on Coursera is a focused, beginner-friendly course designed to deepen foundational programming skills. It targets learners who have completed an introductory Python course and are ready to tackle control structures and code organization. ### Standout Strengths - Progressive Learning Curve: The course introduces functions, conditionals, and loops in a logical sequence that builds confidence gradually. Each module reinforces the previous one, ensuring steady skill development. - Hands-On Practice: Interactive coding exercises allow immediate application of concepts. This active learning approach helps solidify understanding far better than passive video lectures alone. - Free Access Model: Learners can audit the full course at no cost, making it highly accessible. This removes financial barriers for students exploring programming careers. - Clear Conceptual Explanations: The instructor breaks down complex ideas like Boolean logic into digestible parts. Visual aids and simple language enhance comprehension for new coders. - Focus on Core Programming Constructs: By concentrating on functions, loops, and conditionals, the course avoids scope creep. This targeted approach strengthens essential skills every programmer must master. - Beginner-Friendly Pacing: The course moves at a comfortable speed for novices. Concepts are repeated in different contexts to reinforce retention without overwhelming the learner. ### Honest Limitations - Limited Project Complexity: While exercises are helpful, they lack real-world project depth. Learners won’t build full applications, which limits portfolio-building potential. - Minimal Instructor Engagement: The course format doesn’t include live support or personalized feedback. Learners must rely on forums or self-troubleshooting when stuck. - Shallow Coverage of Edge Cases: Advanced topics like exception handling or function decorators aren’t covered. This keeps the course accessible but restricts growth for ambitious learners. - Repetitive Exercise Patterns: Some coding drills repeat similar logic, which may bore learners seeking variety. More diverse problem sets could improve engagement. ### How to Get the Most Out of It - Study cadence: Dedicate 4–5 hours per week consistently. Spaced repetition helps internalize programming patterns more effectively than cramming sessions. - Parallel project: Build a small automation script using what you learn each week. Applying concepts to personal ideas reinforces retention and creativity. - Note-taking: Write summaries of each function, loop, and conditional pattern. Organizing syntax and logic in your own words boosts long-term recall. - Community: Join Coursera forums or Python Discord groups. Discussing problems with peers exposes you to different problem-solving approaches. - Practice: Re-code every example from memory after completing a module. This strengthens muscle memory and debugging skills. - Consistency: Stick to a daily coding habit, even for 20 minutes. Regular exposure is key to mastering programming syntax and logic flow. ### Supplementary Resources - Book: 'Automate the Boring Stuff with Python' by Al Sweigart complements the course with practical scripting examples. It bridges learning to real-world automation tasks. - Tool: Use Replit or Jupyter Notebook alongside the course. These platforms allow experimentation beyond the provided exercises. - Follow-up: Enroll in a data structures or introductory algorithms course next. This deepens your problem-solving capabilities after mastering basics. - Reference: Bookmark Python.org’s official documentation. It’s an authoritative source for syntax rules and standard library functions. ### Common Pitfalls - Pitfall: Skipping exercises to rush through content. This undermines skill development. True learning happens through writing and debugging code, not just watching. - Pitfall: Misunderstanding return vs. print in functions. Many beginners confuse output with return values, leading to errors in function composition. - Pitfall: Overcomplicating conditionals early. Using too many nested if-statements can create bugs. Focus on simplifying logic with clear Boolean expressions. ### Time & Money ROI - Time: At 7 weeks with 3–5 hours weekly, the time investment is manageable. Most learners finish without burnout, making it sustainable for part-time students. - Cost-to-value: Being free to audit, the course offers exceptional value. Even the certificate is low-cost, making it one of the most accessible Python upskilling options. - Certificate: The credential adds value to beginner resumes, especially in entry-level tech roles. It signals initiative and foundational competence to employers. - Alternative: Paid platforms like Codecademy offer similar content but at a premium. This course delivers comparable core training at no cost, maximizing value. ### Editorial Verdict Learn Python: 2 stands out as a practical, accessible next step for learners emerging from introductory coding courses. Its focused curriculum on functions, conditionals, and loops addresses a critical gap in beginner education—moving from syntax recognition to actual control flow mastery. The interactive format keeps engagement high, and the absence of a paywall makes it inclusive. While it doesn’t replace a full bootcamp experience, it provides a strong foundation for self-directed learners aiming to build real programming skills. We recommend this course for absolute beginners looking to solidify core concepts before advancing to more complex topics. It won’t turn you into a software engineer overnight, but it builds the muscle memory and logical thinking essential for long-term success. Pair it with personal projects and community involvement to maximize impact. For its price, clarity, and structure, it earns a solid endorsement as a stepping stone in the Python learning journey. ## How Learn Python: 2 Compares | Course | Platform | Rating | Level | Duration | | --- | --- | --- | --- | --- | | Learn Python: 2 | Coursera | 7.6/10 | Beginner | 7 weeks | | How to make your first iOS 7 iPhone app BOOTCAMP | Udemy | 10.0/10 | N/A | N/A | | GitHub Copilot Masterclass for Java, Spring, AI and IntelliJ | Udemy | 9.8/10 | N/A | N/A | | Mastering Authentication in Nodejs: JWT, SSO, Token based | Udemy | 9.8/10 | N/A | N/A | ## Who Should Take Learn Python: 2? This course is best suited for learners with no prior experience in software development. It is designed for career changers, fresh graduates, and self-taught learners looking for a structured introduction. The course is offered by Scrimba on Coursera, combining institutional credibility with the flexibility of online learning. Upon completion, you will receive a course certificate that you can add to your LinkedIn profile and resume, signaling your verified skills to potential employers. If you are exploring adjacent fields, you might also consider courses in Agile & Scrum Courses, AI Courses, Arts and Humanities Courses, which complement the skills covered in this course. ### Career Outcomes - Apply software development skills to real-world projects and job responsibilities - Qualify for entry-level positions in software development and related fields - Build a portfolio of skills to present to potential employers - Add a course certificate credential to your LinkedIn and resume - Continue learning with advanced courses and specializations in the field ## More Software Development Courses on Coursera Explore other highly rated courses in software development available on Coursera to expand your learning path: - Backend Javascript Developer 9.2/10 - Generative AI Tools for Modern Software Engineering Course 8.7/10 - Generative AI Coding Assistants for Developers Course 8.7/10 - GenAI for Mobile App Developers (iOS, Android) Course 8.7/10 - Gemini for Application Developers Course 8.7/10 - Game Design and Development 5: Capstone Project Course 8.7/10 - Game Design and Development 4: 3D Platformer 8.7/10 - Game Design and Development 2: 2D Platformer Course 8.7/10 - Functional Programming with Java and Threads Course 8.7/10 - Full-Stack Developer Capstone Project 8.7/10 ## Top Alternatives on Other Platforms Looking for a different teaching style or approach? These top-rated software development courses from other platforms cover similar ground: - How to make your first iOS 7 iPhone app BOOTCAMP 10.0/10 Udemy - GitHub Copilot Masterclass for Java, Spring, AI and IntelliJ 9.8/10 Udemy - Mastering Authentication in Nodejs: JWT, SSO, Token based 9.8/10 Udemy - .NET MAUI for Beginners: Build a Real-World Mobile App 9.8/10 Udemy - Master Playwright - Basics to AI-Powered Testing with JS/TS Course 9.8/10 Udemy - Docker, Docker Hub and Docker Compose for Java Developers Course 9.8/10 Udemy - Jira Essentials 2025 | Complete Guide for Beginners Course 9.7/10 Udemy - UML and Object-Oriented Design Foundations Course 9.7/10 Udemy - Computer Science 101: Master the Theory Behind Programming Course 9.7/10 Udemy - Introduction to REST APIs for Absolute Beginners Course 9.7/10 Udemy ## More Courses from Scrimba Scrimba offers a range of courses across multiple disciplines. If you enjoy their teaching approach, consider these additional offerings: - AI Engineering Specialization course 9.7/10 - Vibe Coding with Cursor AI course 9.7/10 - Vibe Coding Essentials – Build Apps with AI Specialization course 9.7/10 - Advanced Javascript 1 Objects Loops Hoisting Course 9.1/10 - Advanced Javascript 2 Async Js Apis Operators Objects Course 9.1/10 - Advanced Javascript 3 Objects Collections Functions Course 9.0/10 - Essential CSS Concepts Course 8.7/10 - Build Mini Projects in JavaScript 8.7/10 View all courses from Scrimba → ## Related Articles & Guides Deepen your understanding with these articles from our editorial team, covering career advice, industry trends, and learning strategies: - Build AI skills with the Google AI Professional Certificate - Python Tutorial: Best Courses to Learn Python in 2026 - CISSP vs CompTIA Security+: Which Cert Should You Pursue? - Coursera Data Analytics Professional Certificate: Worth It in 2026? - Best edX Courses in 2026: Top Picks by Enrollment and Career Value - Best Online Coursera Courses in 2026: What's Actually Worth Your Time - Udemy Online: What the Platform Actually Delivers in 2026 - OKR for Leaders: 7 Best Training Courses Compared (2026) - Generative AI for Marketing with Microsoft 365 Copilot: Professional Certificate Review - The Best React Courses in 2026, Ranked and Reviewed ## Explore All Course Categories Not sure what to learn next? 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Be the first to share your experience! ## FAQs What are the prerequisites for Learn Python: 2? No prior experience is required. Learn Python: 2 is designed for complete beginners who want to build a solid foundation in Software Development. It starts from the fundamentals and gradually introduces more advanced concepts, making it accessible for career changers, students, and self-taught learners. Does Learn Python: 2 offer a certificate upon completion? Yes, upon successful completion you receive a course certificate from Scrimba. This credential can be added to your LinkedIn profile and resume, demonstrating verified skills to employers. In competitive job markets, having a recognized certificate in Software Development can help differentiate your application and signal your commitment to professional development. How long does it take to complete Learn Python: 2? The course takes approximately 7 weeks to complete. It is offered as a free to audit course on Coursera, which means you can learn at your own pace and fit it around your schedule. The content is delivered in English and includes a mix of instructional material, practical exercises, and assessments to reinforce your understanding. Most learners find that dedicating a few hours per week allows them to complete the course comfortably. What are the main strengths and limitations of Learn Python: 2? Learn Python: 2 is rated 7.6/10 on our platform. Key strengths include: clear, step-by-step explanations of core python concepts; interactive exercises reinforce learning effectively; free access lowers barrier to entry. Some limitations to consider: limited depth in advanced use cases; few real-world project examples. Overall, it provides a strong learning experience for anyone looking to build skills in Software Development. How will Learn Python: 2 help my career? Completing Learn Python: 2 equips you with practical Software Development skills that employers actively seek. The course is developed by Scrimba, whose name carries weight in the industry. The skills covered are applicable to roles across multiple industries, from technology companies to consulting firms and startups. Whether you are looking to transition into a new role, earn a promotion in your current position, or simply broaden your professional skillset, the knowledge gained from this course provides a tangible competitive advantage in the job market. Where can I take Learn Python: 2 and how do I access it? Learn Python: 2 is available on Coursera, one of the leading online learning platforms. You can access the course material from any device with an internet connection — desktop, tablet, or mobile. The course is free to audit, giving you the flexibility to learn at a pace that suits your schedule. All you need is to create an account on Coursera and enroll in the course to get started. How does Learn Python: 2 compare to other Software Development courses? Learn Python: 2 is rated 7.6/10 on our platform, placing it as a solid choice among software development courses. Its standout strengths — clear, step-by-step explanations of core python concepts — set it apart from alternatives. What differentiates each course is its teaching approach, depth of coverage, and the credentials of the instructor or institution behind it. We recommend comparing the syllabus, student reviews, and certificate value before deciding. What language is Learn Python: 2 taught in? Learn Python: 2 is taught in English. Many online courses on Coursera also offer auto-generated subtitles or community-contributed translations in other languages, making the content accessible to non-native speakers. The course material is designed to be clear and accessible regardless of your language background, with visual aids and practical demonstrations supplementing the spoken instruction. Is Learn Python: 2 kept up to date? Online courses on Coursera are periodically updated by their instructors to reflect industry changes and new best practices. Scrimba has a track record of maintaining their course content to stay relevant. We recommend checking the "last updated" date on the enrollment page. Our own review was last verified recently, and we re-evaluate courses when significant updates are made to ensure our rating remains accurate. Can I take Learn Python: 2 as part of a team or organization? Yes, Coursera offers team and enterprise plans that allow organizations to enroll multiple employees in courses like Learn Python: 2. Team plans often include progress tracking, dedicated support, and volume discounts. This makes it an effective option for corporate training programs, upskilling initiatives, or academic cohorts looking to build software development capabilities across a group. What will I be able to do after completing Learn Python: 2? After completing Learn Python: 2, you will have practical skills in software development that you can apply to real projects and job responsibilities. You will be prepared to pursue more advanced courses or specializations in the field. Your course certificate credential can be shared on LinkedIn and added to your resume to demonstrate your verified competence to employers. ## Similar Courses Other courses in Software Development Courses ![OpenAI Python API Bootcamp (2023): Learn AI, GPT, and more! Course](/api/media/file/images/2025/06/OpenAI-Python-API-Bootcamp-2023.webp?width=480) Udemy Python Courses ### OpenAI Python API Bootcamp (2023): Learn AI, GPT, and more! 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