In other words, applied statistics is a foundation upon which data science is built. Through statistical methods, analysis, and an emphasis on real-world data, applied statisticians seek concrete ...

Covers discrete and continuous probability laws, random variables; expectations; laws of large numbers and central limit theorem; estimation, testing hypothesis, analysis of variance, regression ...

Introduces exploratory data analysis, probability theory, statistical inference, and data modeling. Topics include discrete and continuous probability distributions, expectation, laws of large numbers ...

The course will provide a comprehensive coverage on some fundamental aspects of probability and statistics methods and principles. It also covers linear regression analysis. Data illustration using ...

This course is compulsory on the MSc in Quantitative Methods for Risk Management ... MSc in Financial Mathematics, MSc in Statistics (Financial Statistics), MSc in Statistics (Financial Statistics) ...

This course introduces statistical methods and techniques for multivariate data analysis. The course studies basic ideas underlying multivariate statistical methods and covers various applications of ...