Predictive Analytics with Python and Machine Learning — PickAClass
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★ 4.5 (2) ⏱ 2h 48m 📚 28 lessons 🎧 Audio version

Predictive Analytics with Python and Machine Learning

Master the fundamentals of data analysis and build your first predictive models using Python and scikit-learn.

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

About this course

Ready to unlock the power of data and make future predictions? This course provides a practical introduction to the world of machine learning using Python, one of the most popular languages in data science. You will move from basic concepts to building real predictive models. In this course, you will learn to: Understand the core concepts of machine learning and predictive analytics; Manipulate and prepare data for analysis using the pandas library; Train and test common machine learning models with scikit-learn; Evaluate your model's performance using key statistical metrics; and Apply basic feature engineering techniques to improve model accuracy. The course begins with foundational principles before guiding you through hands-on exercises where you'll build a complete predictive analytics project. This course is designed for absolute beginners. No prior experience in programming or data science is required to get started. Start your journey into data science and machine learning 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.
  • 🎧 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
Document
Certificate of Mastery
This certifies that
Name Surname
has successfully demonstrated mastery of
Predictive Analytics with Python and Machine Learning
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
Predictive Analytics with Python and Machine Learning
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.

Reviews (2)

Nadia Perveen PK Verified learner
★ 5 · July 25, 2026

I had dabbled in Python before but never managed to build an actual model that predicted anything. Walking through scikit-learn step by step, I trained my first regression model on real data and it actually held up on the test set. The way train/test splitting and evaluating with proper metrics was explained finally made it click for me. I appreciated that it didn't drown me in math but still explained why each step matters. By the end I built a small churn predictor for my own work data. Genuinely the course that took me from theory to something usable.

Anouk van Dijk NL Verified learner
★ 4 · May 31, 2026

Mijn eerste voorspellende model met scikit-learn draait en de uitleg over train- en testsplitsing was helder. Ik had alleen graag wat meer voorbeelden met classificatie gezien, maar verder een sterke kennismaking met machine learning.

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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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