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Introduction to Univariate Analysis

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How to Get Queries Resolved

Measures of Central Tendency

When to Use Geometric and Harmonic Means

Measures of Dispersion - Part 1

Measures of Dispersion - Part 2

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Significance Tests

Chi Squared Test Theory and Maths

Chi Square Test and Odds Ratio Demo

ANOVA (Maths)

ANOVA Concept (Intuition)

ANOVA Demo

Course Review

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Data Imputation Methods

Representing Missing Values

Types of Missing Values

Identifying Missing Values

Visualize Missing Values with missingno

When to Drop Rows and Columns

Approaches to Filling in Missing Data

Implementing Imputation

Interpolation

MICE Predictions - Part 1

MICE Predictions - Part 2

MICE Predictions - Part 3

Validating Missing Value Imputations

Course Review

Assignment

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Outlier Detection Approaches

What are Outliers and Why They Matter

Detecting Outliers with Box and Whiskers Plot

Detecting Outliers with Z Score

Ways to Treat Outliiers

Mahalanobis Distance - Part 1

Mahalanobis Distance - Part 2

Cooks Distance

Isolation Forest Algorithm - Part 1

Isolation Forest Algorithm - Part 2

Isolation Forest Algorithm - Part 3

LOF Part 1 Introduction

LOF Part 2 Problem with simple density

LOF Part 3 K Distance and Local Reachability Density

LOF Part 4 Main Concept

LOF Part 5 - Python Demo

Local Outlier Factor Algorithm - Part 6

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Feature Encoding Approaches

Label Encoding

Need for Feature Encoding

Label and Ordinal

One Hot Encoding

Frequency Encoding

Target Encoding - Part 1

Target Encoding - Part 2

Blending Method- Part 1

Blending Method- Part 2

Leave One Out Encoding

Weights of Evidence and Information Value

Weights of Evidence for Continuous Dependent

Course Review

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Feature Transformations

Need For scaling

Standardardization and Normalization

Robust Scaling

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Plotting for Data Analysis

Getting started with Matplotlib

Making your first plot- Part 1

Color, Marker and Style- Part 2

Controlling plot components- Part 3

Plotting two sets of points- Part 4

Axis Ticks Positions- Part 5

Anatomy of a Matplotlib Plot- Part 6

Annotations- Part 7

Analysing relationships between numeric variables

Analyzing Distributions Histogram- Part 1

Bar Charts

Analysing Distributions Boxplots- Part 2

Numeric vs Cat Overview- Part 1

Numeric vs Cat Multi Box Plots- Part 2

Numeric vs Cat Bubble Plots- Part 3

Numeric vs Cat Pairs and Trellis- Part 4

Categorical vs Categorical

How is Analyzing Time Series different

Line Plot

Dual Axis Time Series Plot

Interpreting ACF and PACF Plots

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Project and Assignment

EDA Project - Classification Part - 1

EDA Project - Classification Part - 2

EDA Project - Classification Part - 3

EDA Project - Classification Part - 4

EDA Project - Classification Part - 5

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Preview - Data Pre-processing and EDA