I’m excited to be writing this book review. It is a book for which I’ve been waiting a long time. An Introduction to Statistical Learning with Application in R by James, Witten, Hastie, and Tibshirani ...

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged ...

A course in statistics at the level of IEMS 303; A course in matrix analysis; Proficiency in programming, as extensive coding will be a key part of the curriculum. This course is considered a ...

Our friends over at Noah Data have written a research style paper, Introduction to Statistical Analysis and Outlier Detection Methods, that discusses how statistical data can generally be classified ...

Delivering the keynote address, Dr. Pallab Changkakoti, Head of the Department of Statistics, KSCJ, emphasized the need for developing a data-driven mindset and the role of SPSS in promoting ...

Machine learning is the predictive heart of big data analytics, and one of the key skills that separates data scientists from mere analysts. But getting started with machine learning can be a ...

Use modern machine learning tools and python libraries. Explain how to deal with linearly-inseparable data. Compare logistic regression’s strengths and weaknesses. Explain what decision tree is & how ...

This course is compulsory on the MSc in Data Science. This course is available on the MPA in Data Science for Public Policy, MSc in Applied Social Data Science, MSc in Econometrics and Mathematical ...