Stepik Introduction to Statistics
О курсе
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This course is designed to explain the fundamental of statistics. The course contains four weeks or four modules. The first module is devoted to the main concepts of statistics and data analysis. First of all we will introduce the concepts of sample, general population, descriptive statistics and normal distribution. At the end of the first module we will discuss the idea of statistical inference, one of the most important topics of our course. If you have just started to study statistics look more closely at the first week. All the lessons of the first module are extremely important to enable you to understand the rest of the course and more complicated concepts and methods of statistics. Each module contains lessons with short theoretical video lectures mixed with practical problems.
Требования
Что нужно для старта
- The course does not require any prior study of statistics.
Аудитория
Для кого этот курс
- High school graduates, first year students at universities.
Содержание
4 занятияПрограмма курса
№ТемаЧто внутри
01Introduction to Hypothesis Testing
- Introduction
- Sample and Population
- Types of Variables in Statistics
- Descriptive Statistics (Central Tendency Measures)
- Descriptive Statistics (Variance and Quantiles)
- Normal Distribution
- Central Limit Theorem
- Confidence Intervals
- Statistical Hypothesis Testing
02Categorical Data Analysis
- Introduction. Categorical Data in Statistics
- Chi-Squared Distance
- Pearson Distribution, Degrees of Freedom and Chi-Squared Test
- Contingency Table Analysis
- P-value Calculation
- Fisher's Exact Test
03T- test and Analysis of Variance
- Student's t-Distribution
- Student's t-Test
- One-Way ANOVA
- Post Hoc Analysis
04Correlation and Linear Regression
- Definitions of Covariance and Correlation
- Simple Linear Regression. Least Squares. Residuals.
- Predictions from Linear Regression. Assumptions.
- Multiple Linear Regression
01Introduction to Hypothesis Testing
- Introduction
- Sample and Population
- Types of Variables in Statistics
- Descriptive Statistics (Central Tendency Measures)
- Descriptive Statistics (Variance and Quantiles)
- Normal Distribution
- Central Limit Theorem
- Confidence Intervals
- Statistical Hypothesis Testing
02Categorical Data Analysis
- Introduction. Categorical Data in Statistics
- Chi-Squared Distance
- Pearson Distribution, Degrees of Freedom and Chi-Squared Test
- Contingency Table Analysis
- P-value Calculation
- Fisher's Exact Test
03T- test and Analysis of Variance
- Student's t-Distribution
- Student's t-Test
- One-Way ANOVA
- Post Hoc Analysis
04Correlation and Linear Regression
- Definitions of Covariance and Correlation
- Simple Linear Regression. Least Squares. Residuals.
- Predictions from Linear Regression. Assumptions.
- Multiple Linear Regression
Документ после выпуска
Yes
Организатор
Автор курса
Мнения учеников
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Направления:Математика
Информация обновлена 14 сентября 2026 г.
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