Mathematics for Computer Science and Python Programming — PickAClass
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⏱ 2h 30m 📚 25 lessons 🎧 Audio version

Mathematics for Computer Science and Python Programming

Learn foundational higher mathematics including linear algebra, calculus, and statistics through clear Python code examples.

  • 💬 AI instructor
    Ask about any lesson and get a clear answer instantly, anytime.
  • 🕐 Start anytime
    No schedules or deadlines — learn at your own pace, whenever suits you.
  • 🌐 In English
    Lessons, tasks and certificate — all fully in your language.

About this course

Mastering mathematical principles provides a competitive edge in modern software engineering, data analysis, and machine learning. This text-based course translates key higher mathematics concepts into readable Python scripts and accessible written breakdowns. What you will learn: Understand foundational concepts in linear algebra, calculus, probability, and statistics; Apply NumPy and SymPy libraries to compute vectors, matrices, and symbolic equations; Implement probability distributions and statistical modeling techniques in Python; Practice clean code techniques, type hinting, and vectorization for mathematical applications. The material begins with primary terminology and basic notation before moving step-by-step through computational problem-solving. This course is perfect for beginners and aspiring data professionals who want to understand the math behind modern code without complex academic jargon. Start reading today to elevate your analytical programming skills.

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 30m 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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Certificate of Mastery
This certifies that
Name Surname
has successfully demonstrated mastery of
Mathematics for Computer Science and Python Programming
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
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PickAClass — Name Surname
Mathematics for Computer Science and Python Programming
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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