A guided path from foundations to portfolio and internship readiness.
A complete career-focused program combining Python, SQL, statistics, ML, projects, mentoring, and job preparation. Learn through live guidance, practical code labs, instructor feedback, and an industry-tested curriculum.
This course focuses on practical application, guided work, and subject-specific projects.
Learning Outcomes
Solve end-to-end data problems
Use Python and SQL together
Apply practical statistics
Create business visualizations
Build predictive models
Explain insights to stakeholders
Complete a multi-project portfolio
Present a professional capstone
Practical Skills
Project-Based Learning
Every major skill is connected to realistic practice. Expand a project to see the subject-specific workflow, sample output, and deliverable.
Prepare a messy multi-source dataset for trustworthy analysis.
Output: Clean dataset + quality report
Project Progress
Answer management questions from a relational database.
Output: Query pack + insights
Project Progress
Build an interactive dashboard for executive KPIs.
Output: Portfolio dashboard
Project Progress
Train and explain a practical business prediction model.
Output: Model notebook + evaluation
Project Progress
Turn technical work into a clear employer-ready story.
Output: Published case study
Project Progress
Course output 01
Course output 02
Course output 03
Course output 04
Course output 05
Combine analysis, querying, visualization, modeling, and communication in one portfolio centerpiece.
Course Tools
Analysis workflows.
Database analysis.
Business dashboards.
Predictive modeling.
Portfolio publishing.
Work with subject-appropriate business scenarios.
Create outputs yourself with instructor guidance.
Connect technical work to a useful conclusion.
Finish with work you can demonstrate.
Next Live Cohort
Join the next live cohort, practice with realistic work, and complete a course-specific capstone.
Prerequisites
A laptop for in-class practice and project coding labs.
Basic computer confidence with files, web tools, and spreadsheets.
Commitment to attend live interactive sessions and complete homework.
No advanced mathematics or coding required for foundation tracks.
Target Audience
Cohort Logistics
Cohort, mentoring, and project reviews
16 weeks
Khmer and English
Contact an advisor on Telegram to confirm specific cohort start dates, schedule choices, and seat availability.
Faculty
Courses are prepared with bilingual Khmer and English explanations, guided code examples, and supportive feedback.
Certification
Credentials reflect live attendance, code assignments, project capstone submission, and instructor rubric review.
Live program attendance
Weekly assignment labs
Final project capstone
Instructor rubric evaluation
Enrollment Process
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Curriculum Structure
Interactive live sessions where concepts are coded live and reviewed with students.
Build demonstrable outputs: notebooks, dashboards, SQL warehouses, and ML models.
24/7 access to cohort recordings, datasets, assignments, and rubric grading.
Course Questions
No. Data Insight Cambodia programs are live instructor-led cohorts. Recordings and portal resources are provided to help students review between sessions.
Beginner programs start from scratch. Intermediate programs outline their recommended preparation during the 1-on-1 advisor consultation.
Students receive an official verifiable digital credential after completing the required live sessions, assignments, and final capstone review.
We support students with practical capstones, portfolio reviews, career consultation, and partner introductions.
Admissions Desk
Connect with Data Insight Cambodia on Telegram to verify schedule options, curriculum questions, and enrollment details.