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Data Analysis Basics

Master Data Analysis Basics from core theoretical foundations to practical industry applications.

1Module 1: Data Wrangling and Inspection

Core modules and technical concepts for Data Analysis Basics.

Topic 1.1: Data Cleaning

Foundational and applied principles of Data Cleaning.

Imputing Missing Data and Outlier Detection

Comprehensive technical guide and practical walkthrough of Imputing Missing Data and Outlier Detection.

Data Normalization and Type Conversions

Comprehensive technical guide and practical walkthrough of Data Normalization and Type Conversions.

Topic 1.2: Exploratory Data Analysis (EDA)

Foundational and applied principles of Exploratory Data Analysis (EDA).

Summary Statistics and Frequency Distributions

Comprehensive technical guide and practical walkthrough of Summary Statistics and Frequency Distributions.

Visual Analysis Using Histograms, Scatter, and Box Plots

Comprehensive technical guide and practical walkthrough of Visual Analysis Using Histograms, Scatter, and Box Plots.