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Beginner+
2026
Data Science
Data Science
Foundation
Foundations of the data science lifecycle — problem framing, data wrangling, exploratory analysis, basic modelling and communication of results.
🧭
Lifecycle clarity
Know the full DS loop
🧹
Wrangling
Clean real datasets
🗣️
Storytelling
Explain to non-technical leads
What this programme is
Data science,
from the ground up.
Build the end-to-end habit of a data scientist: ask the right question, prepare data, explore, model lightly and communicate findings.
Complements Data Science with Python and Introduction to Machine Learning.
Delivered by Nexperts Academy trainers with Malaysian enterprise examples, HRD Corp claim support available for eligible employers.
Who should take this course
📊
Analysts
Stepping into data science.
🎓
Students
Foundation before bootcamps.
💻
Developers
Data thinking skills.
🧪
Career switchers
Structured entry point.
📈
Managers
Sponsor data work better.
Prerequisites
✓ Basic Excel or Python helpful
✓ Comfort with numbers
→ 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
Brief
Frame the problem.
Scope
02
Clean
Wrangle data.
Data
03
EDA
Find the story.
EDA
04
Project
Present findings.
Capstone
+ 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.
Lifecycle clarity
Wrangling
EDA
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
Excel / basic Python
Optional refresher.
Prep →
Recommended next
Data Science with Python
Deeper Python path.
View course →
Path
Full data science career path
DS Foundation ← You
→
DS with Python
→
Intro ML
Foundation-level data roles in Malaysia often start around RM 4,000 – RM 8,000/month.
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 Science Foundation
FAQs.
