In this introduction, you will learn all the basic concepts of statistics and collecting data. It is important to understand them well before studying the data organizing unit. Classes are organized in such a way that the learning process goes as smoothly as possible. Follow the logical order presented here to study the lessons.

What is statistics?
Understand the importance of statistics, applied statistics, theoretical statistics, numerical facts, and mathematical statistics

Types of statistics
Familiarize yourself with two types of statistics in applied statistics: descriptive statistics and inferential statistics.

Population versus sample
Learn the difference between a population and a sample.

What is a survey?
Definition of the survey, sampling and the difference between survey and census.

Representative sample
Learn how to make sure a sample really represents the population.

Common sampling methods
Understand the importance of random sampling, convenience sampling, systematic sampling, cluster sampling, and stratified sampling.

Variable, data set, element and observation
Understand the meaning of these basic terms using statistical data.

Types of variables
Understand the meanings of quantitative variables, discrete variables, continuous variables, qualitative variables, independent variables, and dependent variables.

Time series data
Understand the importance of time series data

Cross-sectional data
Understand the importance of cross-sectional data