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4. Exploration of Structured vs. Unstructured Data

Data is everywhere, and it can be stored in many ways. Two general categories of data are: Structured data: Organized

Data format, Data classification, Qualitative data, Quantitative data, Primary data, Secondary data, Internal data, External data, Continuous data, Discrete data, Nominal data, Ordinal data, Structured data, Unstructured data, Data analysis, Movie data, Movie genres, Data measurement, Data counting, Data collection, Data management, Spreadsheet data, Box office revenue, Budget data, Survey data, Questionnaire data, Census data, Customer profiles, Demographic data, HR data, Sales data, Product inventory, National average wages, Credit reports, Temperature data, Population size, Distance measurement, Movie ratings, Ranked-choice voting, Satisfaction level, Expense reports, Tax returns, Social media data, Email data

3. Data Formats in Practice: Know Data Types

When you think about the word “format,” many things might come to mind. Think of an advertisement for your favorite

Data collection, Data sources, First-party data, Second-party data, Third-party data, Data accuracy, Data reliability, Data trustworthiness, Observations in data collection, Traffic pattern analysis, Traffic data, Data sample size, Population in data analytics, Random sample, Strategic data collection, Time series data, Business problem-solving with data, Data type selection, Historical data, Data timeframe, Trends over time, Data approval, Data bias, Data credibility, Analyzing datasets, High-volume traffic times, Data-driven decision making

Courses, 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 project. With a nearly endless

Data collection, Data generation, Industries collect data, Online searches, Social media data, Mobile devices data, Digital photo data

Courses, 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 and innovation. With the exponential

Courses, 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 relationships between different types of

Understanding Chi-Square test of independence

Courses, 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 categorical variables. Unlike Analysis of

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