Analyze Data 

Course Intro: Analyze Data

Exploratory Data Analysis

Dataset Content and Format

Analysis of Feature Types

Target Features

Feature Relevance

Representative Data and Sampling Techniques

Imbalanced Datasets

Errors, Outliers, and Noise

Correlations

Overview

Guidelines for Examining Data

Examining Data

Frequency and Probability Distributions

Normal and Non-Normal Distributions

Descriptive Statistical Analysis

Central Tendency

Variability and Range Measures

Variance

Standard Deviation

Skewness

Kurtosis

Overview

Guidelines for Exploring the Underlying Distribution of Data

Exploring the Underlying Distribution of Data

Visualizations

Histograms

Box Plots and Violin Plots

Scatter Plots, Line Plots, and Area Plots

Bar Charts

Geographical Maps and Heatmaps

Plots in Combination (Bar Chart Grid)

Plots in Combination (Pair Plot)

Overview

Guidelines for Analyzing Data Using Histograms

Guidelines for Analyzing Data Using Box Plots and Violin Plots

Guidelines for Analyzing Data Using Scatter Plots, Line Plots, and Area Plots

Guidelines for Analyzing Data Using Bar Charts

Guidelines for Analyzing Data Using Maps

Guidelines for Using Visualizations to Analyze Data

Using Visualizations to Analyze Data

Data Preprocessing

Missing Values

Feature Scaling

Feature Engineering

Data Encoding

Continuous Variable Discretization

Bin Determination

Feature Splitting

Dimensionality Reduction

Overview

Guidelines for Handling Missing Values

Additional Transformation Functions

Guidelines for Applying Transformation Functions to Datasets

Data Encoding Methods

Guidelines for Encoding Data

Guidelines for Discretizing Variables

Guidelines for Splitting Features

Dimensionality Reduction Methods

Guidelines for Performing Dimensionality Reduction

Guidelines for Preprocessing Data

Preprocessing Data