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
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2
Probability & Statistical Foundations
Module 2
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3
Data Wrangling & Cleaning
Module 3
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EDA & Visualization 3 modules
4
Exploratory Data Analysis
Module 4
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5
Data Visualization Principles
Module 5
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6
Data Storytelling & Dashboards
Module 6
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Modeling & Segmentation 3 modules
7
Regression Analytics
Module 7
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8
Tree-Based Methods & Ensembles
Module 8
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9
Clustering & Segmentation
Module 9
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Advanced Topics & Capstone 3 modules
10
Time Series Analytics
Module 10
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11
Text Analytics & Ethics
Module 11
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12
Capstone Presentations
Module 12
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📋
Data Analytics Capstone — Pairs Only (2 members max) · 2nd Sem 2025-2026
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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.