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Data Analysis with Python
Python Core
The Course Overview (8:50)
Python Core Concepts and Data Types (11:18)
Understanding Iterables (5:54)
List Comprehensions (6:05)
Dates and Times (5:42)
Accessing Raw Data (7:03)
NumPy for Array Computation
Creating NumPy Arrays (8:20)
Basic Stats and Linear Algebra (7:18)
Reshaping, Indexing, and Slicing (6:38)
Pandas for Data Frames
Getting Started with Pandas (9:25)
Essential Operations with Data Frames (11:47)
Summary Statistics from a Data Frame (9:51)
Data Aggregation over a Data Frame (9:01)
Exercise – Titanic Survivor Analysis
Exercise – Titanic Survivor Analysis (14:00)
Predicting Titanic survival – A Supervised Learning Problem (10:18)
Performing Supervised Learning with Scikit-Learn (13:40)
Predicting Titanic survival – A Supervised Learning Problem
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