Explore a comprehensive statistics tutorial series covering fundamental concepts and advanced topics in data science. Learn about descriptive and inferential statistics, measures of central tendency and dispersion, population vs sample statistics, probability theory, and conditional probability. Gain practical skills in calculating mean, median, mode, range, variance, and standard deviation. Understand the application of Bayes' Theorem and work through examples and problems to reinforce your understanding of statistical concepts.
Overview
Syllabus
Introduction to Data Science Masters Course | Data Science Course Modules Acadgild.
What is Statistics? | Types of Statistics | Descriptive & Inferential Statistics | Acadgild.
What is Mean Median and Mode | Mean Median Mode | How to Calculate Median | Statistics Tutorial 2018.
Measures of Dispersion | Range, Sample Variance and Standard Deviation | Statistics Tutorial 2018.
Population Vs Sample Statistics | Population Mean Vs Sample Mean | Statistics Tutorial 2018.
Probability and Statistics | What is Probability | Probability Tutorial | Statistics Tutorial.
What is Conditional Probability | Bayes Theorem | Conditional Probability Examples & Problems.
Taught by
Acadgild
