DATA ANALYSIS WITH PYTHON

1-Data Structures

2-Functions, Conditions, Loops, Comprehensions

3-Numpy

4-Pandas

5-Data Visualization: Matplotlib & Seaborn

6-Advanced Functional Exploratory Data Analysis

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FUNCTIONS, CONDITIONS, LOOPS, COMPREHENSIONS

1-Functions

2-Conditions

3-Loops

4-Comprehensions

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DATA STRUCTURES

1-Introduction to Data Structures and Quick Summary

2-Numbers: int, float, complex

3-Character Arrays (Strings): str

4-Boolean(TRUE-FALSE):bool

5-List(List)

6-Dictionary

7-Tuple

8-Set

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NUMPY

1-Why Numpy?

2-Crating Nump Arrays

3-Attibutes of Numpy Arrays

4-Reshaping

5-Index Selection

6-Slicing

7-Fancy Index

8-Conditions on Numpy

9-Mathematical Operations

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PANDAS

1-Pandas Series

2-Reading Data

3-Quick Look at Data

4-Selection in Pandas

5-Aggregation & Grouping

6-Apply and Lambda

7-Join Process

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DATA VISULATION: MATPLOTLIB & SEABORN

MATPLOTLIB

1-Categorical Variable Visualization

2-Numerical Variable Visualization

3-Features of Matplotlib

4-Plot

5-Marker

6-Line

7-Labels

8-Subplots

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SEABORN VISUALIZATION

1-Numerical Variable Visualization

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ADVANCED FUNCTIONAL EDA

1-General Situation

2-Analysis of Categorical Variables

3-Analysis of Numerical Variables

4-Analysis of Target Variable

5-Analysis of Correlation