Level 1- Data Science Foundations
Lesson 4: Tools & Ecosystem
Level 1- Data Science Foundations
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MODULE 1: Introduction to Data Science
Lesson 1: What is Data Science?
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Lesson 2: Types of Data
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Lesson 3: Data Science Lifecycle
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Lesson 4: Tools & Ecosystem
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MODULE 2: Python for Data Handling
Lesson 1: Why Python for Data Science
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Lesson 2: Data Structures in Python
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Lesson 3: NumPy Arrays
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Lesson 4: Pandas DataFrames
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Lesson 5: Data Inspection Techniques
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MODULE 3: Data Cleaning & Preparation
Lesson 1: Why Data Cleaning is Critical
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Lesson 2: Handling Missing Values
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Lesson 3: Data Transformation
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Lesson 4: Outlier Detection
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Lesson 5: Feature Engineering (Basics)
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MODULE 4: Data Visualization & Insights
Lesson 1: Importance of Visualization
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Lesson 2: Types of Charts
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Lesson 3: Understanding Patterns
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Lesson 4: Introduction to Seaborn
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Lesson 5: Storytelling with Data
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Course Info
Key tools used in this course:
Python
→ Core programming
Jupyter Notebook
→ Writing and testing code
Pandas
→ Data handling
NumPy
→ Numerical operations
Matplotlib
→ Visualization
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