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  • Data Collection, Formats, and Modelling Techniques

6. Know the Data Type You’re Working With

By now you've learned a lot about data. From generated data, to collected data, to data…

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  • Data Collection, Formats, and Modelling Techniques

5. Data Modeling Levels and Techniques

This reading introduces you to data modeling and different types of data models. Data models…

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  • Data Collection, Formats, and Modelling Techniques

4. Exploration of Structured vs. Unstructured Data

Data is everywhere, and it can be stored in many ways. Two general categories of…

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  • Data Collection, Formats, and Modelling Techniques

3. Data Formats in Practice: Know Data Types

When you think about the word "format," many things might come to mind. Think of…

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  • Data Collection, Formats, and Modelling Techniques

2. Select the Right Data for Exploration

As a data analyst, you must decide what data to collect and use for every…

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  • Data Collection, Formats, and Modelling Techniques

1. Data Collection in Today’s World

In today's digital era, data collection has become an essential process across industries, driving decision-making…

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  • Hypothesis Testing with Variance and Correlation

Basics of Pearson Correlation

Exploring Relationships Between Variables: From ANOVA to Correlation Statistical analysis provides various tools to examine…

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  • Hypothesis Testing with Variance and Correlation

Need to Understand the Chi-Square Test of Independence

The Chi-Square Test of Independence is a statistical tool used to evaluate relationships between two…

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  • Hypothesis Testing with Variance and Correlation

Post-hoc tests for ANOVA in Statistics

Introduction to Post-Hoc Tests in ANOVA When an Analysis of Variance (ANOVA) reveals significant differences…

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  • Hypothesis Testing with Variance and Correlation

Explore the Analysis of Variance (ANOVA) in Hypothesis Testing

Introduction to Statistical Testing and ANOVA Hypothesis testing is a cornerstone of quantitative research, and…