Course Content
MODULE 1: Introduction to Data Science
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Lesson 1: What is Data Science?
Lesson 2: Types of Data
Lesson 3: Data Science Lifecycle
Lesson 4: Tools & Ecosystem
MODULE 2: Python for Data Handling
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Lesson 1: Why Python for Data Science
Lesson 2: Data Structures in Python
Lesson 3: NumPy Arrays
Lesson 4: Pandas DataFrames
Lesson 5: Data Inspection Techniques
MODULE 3: Data Cleaning & Preparation
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Lesson 1: Why Data Cleaning is Critical
Lesson 2: Handling Missing Values
Lesson 3: Data Transformation
Lesson 4: Outlier Detection
Lesson 5: Feature Engineering (Basics)
MODULE 4: Data Visualization & Insights
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Lesson 1: Importance of Visualization
Lesson 2: Types of Charts
Lesson 3: Understanding Patterns
Lesson 4: Introduction to Seaborn
Lesson 5: Storytelling with Data
Level 1- Data Science Foundations
Please complete previous Lesson first
Lesson 2: Handling Missing Values
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