Python Data Analysis with NumPy, Pandas, and Matplotlib — PickAClass
⏱ 2h 54m 📚 29 lessons 🎧 Audio version

Python Data Analysis with NumPy, Pandas, and Matplotlib

Build foundational programming skills and learn to process and visualize structured datasets through clear text explanations and written exercises.

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About this course

Extracting actionable insights from raw information requires a solid grasp of programming fundamentals and core analytical tools. This text-based course offers a practical pathway into the Python data ecosystem, taking you step by step from syntax basics to practical dataset handling. You will gain a strong conceptual foundation and the practical skill set needed to process, analyze, and present data effectively. What you will learn: Learn foundational Python syntax, data types, control flow, and modern type hints. Practice file input and output operations alongside core object-oriented concepts. Apply NumPy for efficient numerical operations and multi-dimensional array manipulation. Master Pandas dataframes to clean, filter, transform, and aggregate complex tables. Design informative visual plots and custom charts using Matplotlib. Understand modern best practices for writing readable, structured data processing scripts. The course opens with essential programming terminology and core language mechanics before advancing into file handling, array computations, dataframe transformations, and graphical visualization. Designed for complete beginners, this course assumes no prior coding experience. Start reading today to build your expertise in Python data analysis.

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
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  • 💸 14-day refund
    No questions asked
  • ⚡ Short & focused
    2h 54m 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 Data Analysis with NumPy, Pandas, and Matplotlib
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 Data Analysis with NumPy, Pandas, and Matplotlib
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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