Data Mining Specialization || QApp

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Data Mining Specialization

By Olivia Nakacwa
12/Mar/2025
0 Students

Course Description

The Data Mining Specialization teaches data mining techniques for both structured data which conform to a clearly defined schema, and unstructured data which exist in the form of natural language text. Specific course topics include pattern discovery, clustering, text retrieval, text mining and analytics, and data visualization.

Course Curriculum

Course Orientation
1h
The Computer and the Human
3h
Visualization of Numerical Data
4h
Visualization of Non-Numerical Data
3h
The Visualization Dashboard
2h

Natural Language Content Analysis
0h 21m
Text Access
0h 10m
Text Retrieval Problems
0h 26m
Overview of Text Retrieval Methods
0h 10m
Vector Space Model - Basic Idea
0h
Vector Space Retrieval Model - Simplest Instantiation
0h 20m

Introduction to Text Mining and Analysis
0h 10m
Text Categorization: Discriminative Classifier
0h 20m
Text Categorization: Evaluation
0h 30m
Opinion Mining and Sentimental Analysis: Motivation, Sentimental Classification, Ordinal Logistic Regression
1h 12m
Opinion Mining and Sentimental Analysis: latent Aspect Rating Analysis
0h
Text Based Prediction
0h
Contextual Text Mining
0h 50m
Topic Summary
0h 10m
Practice Quiz
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Quiz
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What is Pattern Discovery? And Why is it Important?
2h
Advanced Association Rule Mining: Exploring Interestingness, Multi-Dimensional Patterns, and Quantitative Associations.
3h
Advanced Sequential and Spatial Pattern Mining.
2h

Clustering Techniques and Similarity Measures in Data Analysis.
0h
Partitioning and Hierarchical Clustering: Methods and Applications.
0h
Lesson Quiz
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Clustering Validation: Evaluating and Measuring Clustering Quality.
2h
Implementing Clustering Validation Measures
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Task 1 - Exploration of a Data Set
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Task 2 - Cuisine Clustering and Map Construction
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Task 3 - Dish Recognition
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Task 4 & 5 - Popular Dishes and Restaurant Recommendation
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Task 6
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Final Report
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Olivia Nakacwa

Data Science Instructor

I am Olivia Nakacwa, an AI, robotics, and IoT enthusiast. who aims to use them to nurture the future generation as well as solve the day-to-day daily challenges faced by different communities.