Make better decisions with data, probability, and experiments.
Understand descriptive statistics, uncertainty, testing, and business interpretation using Python. 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
Summarize business data accurately
Explain probability and uncertainty
Interpret common distributions
Compare groups with evidence
Measure relationships between variables
Design and interpret simple tests
Communicate statistical conclusions
Recommend evidence-based actions
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.
Summarize sales performance and explain variation in business terms.
Output: Statistical summary + charts
Explore purchase frequency and customer-value distributions.
Output: Distribution report + interpretation
Measure and explain relationships between business variables.
Output: Relationship analysis + conclusion
Compare two business variants and assess whether the difference is meaningful.
Output: A/B test report
Turn statistical evidence into a clear management recommendation.
Output: Decision memo + recommendation
Course output 01
Course output 02
Course output 03
Course output 04
Course output 05
Analyze a realistic business question from summary statistics through evidence-based recommendation.
Course Tools
Evidence-based reasoning.
Repeatable analysis.
Data summaries.
Statistical tests.
Documented analysis.
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
Live cohort plus exercises
6 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.