Data Analysis-Exploratory Data Analysis
EDA Overview
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Why is Exploratory Data Analysis Necessary?
Data Analysis-Data Visualization
Introduction to Data Visualizations
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Data Visualization: Through the Eyes of Our Working Example
Data Visualizations
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Getting Started / Unit Materials
Data Visualization in Python
Data Analysis-Missing Data
Introduction to Missing Values
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Missing Data: Introduction
Strategies for Missing Data
Categories of Missing Data
Simple Imputation
Missing Values
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Bayesian Imputation
Data Analysis-Case Study - Data Visualization
Case Study Introduction
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Case Study: Getting started
Data Analysis-End of module review & evaluation
Summary/Review
Data Investigation-Estimation and hypothesis testing
TUTORIAL: IBM Watson Studio dashboard
Introduction to hypothesis testing
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Hypothesis Testing: Through the eyes of our Working Example
Overview
Hypothesis Testing
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Statistical Inference
Business Scenarios and Probability
Variants on t-tests
One-way Analysis of Variance (ANOVA)
Data Investigation-Hypothesis testing - limitations
p-value Limitations
Multiple Testing
Data Investigation-Case Study - Multiple testing
Case Study Introduction
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Explain Methods for Dealing with Multiple Testing
Getting Started
Import the Data
Data Processing (Includes Assessment)
Data Investigation-End of module review & evaluation
Summary/Review