Introduction to Computer Science and Programming in Python — PickAClass
⏱ 2h 48m 📚 28 lessons

Introduction to Computer Science and Programming in Python

Gain a solid foundation in computational thinking and learn to write clean, modern Python code to solve real-world problems from scratch.

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  • 🌐 In English
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About this course

Have you ever wanted to understand how computers solve complex problems, but felt intimidated by code? Learning to program is not just about memorizing syntax; it is about developing a structured, analytical mindset to tackle challenges systematically. This text-based course guides you from absolute beginner to a confident programmer, teaching you how to think like a computer scientist. You will start with core computational concepts and foundational definitions before translating those ideas into clean, functional code. By reading through clear, step-by-step explanations and analyzing structured examples, you will learn to decompose problems and write your own scripts to automate tasks and analyze data. What you'll learn: Understand core computer science principles, algorithms, and computational thinking; Master Python syntax, variables, data types, and control flow structures; Apply modern programming practices, including type hints and structured code formatting; Write reusable logic using functions, scope rules, and basic recursion; Practice debugging strategies and handle runtime errors gracefully; Explore object-oriented programming basics to structure complex data. The course begins with the absolute basics of computation, variables, and logic gates, then progresses naturally to structured programming, data structures, and object-oriented principles. This course is designed specifically for beginners with no prior coding experience or mathematical background. Start your journey into computer science and build your programming foundation today.

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.
  • ♾️ 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
Document
Certificate of Mastery
This certifies that
Name Surname
has successfully demonstrated mastery of
Introduction to Computer Science and Programming in Python
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
Introduction to Computer Science and Programming in Python
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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