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Beginner+
2026
Python Viz
Data Visualization with Seaborn
Using Python
Create statistical visuals with Python Seaborn — distributions, relationships, categorical plots and publication-ready figures for analysis notebooks.
📉
Stat plots
Seaborn fluency
🎨
Styling
Report-ready figures
🔍
EDA speed
See patterns faster
📓
Notebook craft
Visual analysis narrative
What this programme is
Beautiful stats plots
in Python.
Learn Seaborn patterns that analysts use daily: distribution plots, relational grids, categorical comparisons and styling for reports.
Pairs with Netflix Data Analysis Workshop, Data Science Foundation and Python Bootcamp.
Delivered by Nexperts Academy trainers with Malaysian enterprise examples, HRD Corp claim support available for eligible employers.
Who should take this course
📊
Python analysts
Need better visuals.
🎓
Students
Notebook portfolio polish.
💻
Data scientists
Faster EDA.
🏢
Teams
Shared plotting standards.
🧪
Researchers
Publication-style figures.
📈
Bootcamp grads
Viz specialisation.
Prerequisites
✓ Basic Python and pandas
✓ Jupyter or VS Code
→ Ask enrolment for a free readiness checklist before class.
Curriculum
Structured modules. Lab checkpoints.
Concept briefings, guided labs and a practical deliverable you can show at work.
Hands-on Labs
Practice. Reviewed.
Labs run on managed environments — minimal local setup required.
01
Theme
Style a figure.
Setup
02
Dist
Distribution suite.
EDA
03
Relate
Multi-var views.
Viz
04
Pack
Export for slides.
Story
+ Mentor office hours for sticky blockers.
Assessment
Practical checkpoint.
Certificate.
Complete the guided labs and final mini-project to earn your Nexperts Academy certificate.
Completion rubric
LabsCore labs completed with tutor sign-off
ProjectMini-project meets the published checklist
AttendanceMinimum attendance threshold met
PassingCertificate issued
ResitOne remediation session included
Our 3-Mock Exam Programme
01
Concept check
Quick quiz after each module.
02
Lab review
Peer + tutor feedback.
03
Project dry-run
Present before final submit.
94% complete labs
on schedule.
We keep cohorts small enough for real feedback — not slide-only delivery.
Stat plots
Styling
EDA speed
94% pass
Mentors
Why our pass rate is 94%
Self-paced video only
No reviewed artefact.
Nexperts
Lab sign-off + mentor feedback.
Your next step
Keep building
the pathway.
Stack related AI and data programmes once foundations are solid.
Before this
Python basics
pandas helpful.
Prep →
Recommended next
Data Science Foundation
Broader DS path.
View course →
Path
Full Python visualisation career path
Python
→
Seaborn Viz ← You
→
DS Foundation
Python visualisation skills strengthen analyst packages often ranging RM 4,500 – RM 9,000/month in Malaysia.
Learner feedback
What participants
say.
★★★★★
"Clear labs and practical examples — usable at work the same week."
AS
Aina S.
Analyst
✓ Completed
★★★★★
"Instructors answered real project questions, not just textbook ones."
KT
Kevin T.
Engineer
✓ Completed
★★★★
"Well paced — arrive with the prerequisites done."
LM
Li Mei
Consultant
✓ Completed
★★★★★
"HRD Corp paperwork was handled smoothly for our team cohort."
NR
Nabil R.
L&D lead
✓ Completed
Frequently Asked Questions
Data Visualization with Seaborn Using Python
FAQs.