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CMSC 178DA

Data Analytics

Principles and techniques of data analytics with Philippine context

Course Overview
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Course Syllabus
Schedule, grading, policies & resources
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Foundations & Statistics 3 modules
1
Introduction to Data Analytics
Module 1
→
2
Probability & Statistical Foundations
Module 2
→
3
Data Wrangling & Cleaning
Module 3
→
EDA & Visualization 3 modules
4
Exploratory Data Analysis
Module 4
→
5
Data Visualization Principles
Module 5
→
6
Data Storytelling & Dashboards
Module 6
→
Modeling & Segmentation 3 modules
7
Regression Analytics
Module 7
→
8
Tree-Based Methods & Ensembles
Module 8
→
9
Clustering & Segmentation
Module 9
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Advanced Topics & Capstone 3 modules
10
Time Series Analytics
Module 10
→
11
Text Analytics & Ethics
Module 11
→
12
Capstone Presentations
Module 12
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Archived — CMSC 178DA ran in an earlier term. Its groups are kept on file but are no longer listed here.

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Weekly Lab Exercises

Practice exercises for each week's lecture (30-60 min each). Solutions available immediately for self-study.

1
Week 1 Lab
Python Basics & Data Structures
2
Week 2 Lab
Probability & Statistical Testing
3
Week 3 Lab
Data Wrangling with Pandas
4
Week 4 Lab
Exploratory Data Analysis
5
Week 5 Lab
Data Visualization Techniques
6
Week 6 Lab
Building Interactive Dashboards
7
Week 7 Lab
Regression Analytics
8
Week 8 Lab
Tree-Based Models
9
Week 9 Lab
Clustering & Segmentation
10
Week 10 Lab
Time Series Analysis
11
Week 11 Lab
Text Analytics

💡 Tip: Open in Colab → File → Save a copy in Drive to keep your work. Try exercises first, then check solutions to verify your approach.