Python Programming: Learn by Doing with Practical Exercises — PickAClass
⏱ 2h 48m 📚 28 lessons 🎧 Audio version

Python Programming: Learn by Doing with Practical Exercises

Build a solid foundation in Python programming through structured, hands-on written exercises designed specifically for absolute beginners.

  • 💬 AI instructor
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  • 🕐 Start anytime
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  • 🌐 In English
    Lessons, tasks and certificate — all fully in your language.

About this course

Learning to code can feel overwhelming if you only read theory without putting it into practice immediately. This course bridges the gap by pairing core programming concepts with practical, written exercises that build your confidence step by step. You will transition from understanding basic syntax to writing clean, modern Python code. By working through structured challenges, you will develop the logical problem-solving mindset required of a programmer. What you'll learn: - Understand fundamental programming concepts including variables, data types, and control flow - Write clean, readable code using modern Python features like type hints - Manage projects effectively with virtual environments and modern code organization - Apply basic testing principles using pytest to ensure your code works as expected - Solve real-world logic problems using functions, loops, and data structures The course begins with foundational definitions and key terminology before guiding you through interactive text-based exercises. You will progress step by step from simple calculations to structuring clean, modern Python scripts. This course is designed for absolute beginners with no prior programming experience, as well as those looking to build a structured foundation in Python. Start reading today to take your first steps into the world of programming.

Course contents

What you'll get

  • 📜 Certificate of completion
    Add it to your LinkedIn profile
  • 💬 Personal AI tutor
    Stuck on a lesson? Ask your built-in tutor anything, any time.
  • 🎧 Audio version included
    Learn on the go — no screen needed
  • ♾️ Lifetime access
    Come back anytime, no expiry
  • 📱 Phone or computer
    Works anywhere, any device
  • 💸 14-day refund
    No questions asked
  • ⚡ Short & focused
    2h 48m of practical content

Certificate of completion

Every course you complete on PickAClass issues a credential like this — original, with its own code, verifiable by URL, and detailed about what was actually demonstrated.

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PickAClass
Skills profile · verifiable
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Certificate of Mastery
This certifies that
Name Surname
has successfully demonstrated mastery of
Python Programming: Learn by Doing with Practical Exercises
Skills demonstrated
✓
Behavioral pattern analysis
Foundational
1.2 hrs
✓
Decision-architecture frameworks
Proficient
1.4 hrs
✓
A/B test design
Proficient
1.7 hrs
✓
Behavioral copywriting
Advanced
1.9 hrs
P
PickAClass — Name Surname
Python Programming: Learn by Doing with Practical Exercises
Page 2 of 2
Performance detail
Coursework summary
Lessons completed 14 / 14
Practice questions 26 / 28
Assignments submitted 4 (avg 4.5 / 5)
Capstone project Reviewed — 4.6 / 5
Total practice 6.2 hrs
Performance benchmark
Cohort rank Top 12% of 1,625
Time to completion 11 days (median: 22)
Mastery score 91 / 100
Practice-question score 94%
Skill verification Verified Skill Path
Verify this credential
pickaclass.com/certificates/PCC-2026-X4F7-AP19
Issued under the academic standards of PickAClass. Skill levels reflect assessed performance against the course's competency rubric. This is an original credential of this platform.

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Frequently asked

What do I need to take this course? +

Just a phone or computer with internet. No installs, no special hardware.

How do I pay? +

By card via Stripe. We don’t store card details — Stripe handles them securely.

Can I get a refund? +

Yes — full refund within 14 days, no questions asked.

How long will I have access? +

Forever. Once you purchase, the course is yours to revisit anytime.

Will I get a certificate? +

Yes. On completion you'll receive a certificate you can add to your LinkedIn profile.

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