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Data Science: From Data to Insights
Unit 1
Introduction to Data Science
What is Data Science?
The Data Science Lifecycle
Applications of Data Science
Tools and Technologies in Data Science
Unit 2
Data Collection and Preprocessing
Data Sources and Collection Methods
Data Cleaning and Transformation
Handling Missing Values
Feature Engineering
Unit 3
Data Analysis and Visualization
Descriptive Statistics
Data Visualization Techniques
Exploratory Data Analysis (EDA)
Statistical Inference
Unit 4
Machine Learning for Data Science
Introduction to Machine Learning
Supervised Learning
Unsupervised Learning
Model Evaluation and Selection
Deployment and Monitoring
Unit 4 • Chapter 1
Introduction to Machine Learning
Summary
Concept Check
Check Answer
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Supervised Learning