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Data Science Bootcamp – Bridging the Ski...
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Curriculum
Data Science Bootcamp – Bridging the Skills Gap in Kenya
Week 1: Python Basics & Fundamentals
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Introduction to Python, Lab Setup (VS Code, Anaconda, GitHub)
1h
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Variables, Operators, Built-in Functions
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2h
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Exercises - Variables, Builtin Functions
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Exercise 1 Solutions - Variables, Operators, Builtin Functions
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1h
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Python Basics: Operator
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1h
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Exercise 2 - Python Basics: Operator
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1h
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Exercise 2 Solution - Python Basics: Operator
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1h
Data Structures: Strings
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1h
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Exercise 3: Data Structures: Strings
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1h
Exercise 3 Solution: Data Structures: Strings
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1h
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Data Structures: Lists
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1h
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Exercises 4 : Data Structures: Lists
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Exercises 4 Solution : Data Structures: Lists
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Data Structures: Tuples
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1h
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Exercise 5: Data Structures: Tuples
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1h
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Data Structures: Sets
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1h
Exercise 6 Data Structures: Sets
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1h
Data Structures: Dictionaries
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1h
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Week 2: Advanced Python & Data Handling
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Control Flow: Conditionals, Loops
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1h
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Exercises 8: Control Flow - Conditionals
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Control Flow - Loops
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Exercises 9: ControlFlow- Loops
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1h
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Functions, Modules, List Comprehension
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1h
Exercise 10: Functions, Modules, List Comprehension
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1h
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Day Modules
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1h
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Exercises 11 : Day Modules
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1h
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Exercises 11 Solutions : Day Modules
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List Comprehension
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1h
Exercises 12: List Comprehension
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Higher Order Functions
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1h
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Exercises 13 : Higher Order Functions
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1h
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Python Error Types
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1h
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Python Date time
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1h
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Exception Handling
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1h
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Regular Expressions
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1h
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Exercises 17: Regular Expressions
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1h
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File Handling
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1h
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Python Package Manager
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1h
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Classes and Objects
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1h
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Exercises 18: Classes and Objects
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1h
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Week 3: Data Analysis & Visualization
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Web Scraping
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1h
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Virtual Environment
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1h
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Statistics
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1h
Python for Web
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1h
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Pandas
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1h
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Week 4: Real-World Data Science Projects
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Week 5: Data Science, Machine Learning, and Deep Learning
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