Introduction to Probability ... and build on modern statistical techniques for complex problems. The authors develop the methods from both an intuitive and mathematical angle, illustrating with simple ...

This course is compulsory on the BSc in Data Science. This course is available on the BSc in Actuarial Science, BSc in Mathematics with Economics, BSc in Mathematics, Statistics and Business and BSc ...

This course is compulsory on the MSc in Data Science. This course is available on the MSc in Applied Social Data Science, MSc in Quantitative Methods for Risk Management, MSc in Statistics, MSc in ...

The course surveys probability theory, hypothesis testing, descriptive statistics and visualizations, and inferential statistics such as correlation and regression. Students will explore applications ...

The Statistical & Data Sciences (SDS) Program links faculty and students from across the college interested in learning things from data. At Smith, students learn statistics by doing—class time ...

You will enjoy a high level of support and expertise from your course academics. In this course, you will use the industry standard statistical software - R, allowing you to integrate your learning ...

Compute Pearson's r Correlation Compute Pearson's r correlation using SPSS This video explains ... It is important that you know the difference between these options and choose a statistical test that ...

An introduction to descriptive statistics, graphing and data analysis, probability laws, discrete and continuous probability distributions, correlation and regression, inferential statistics. No ...

R-squared (R 2) is defined as a number that tells you how well the independent variable(s) in a statistical model explains the variation in the dependent variable. It ranges from 0 to 1 ...

Its main purpose is to study the properties of a system from the statistical behaviour of its components. A deep learning algorithm is presented to classify single-particle tracking trajectories ...