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Advanced Statistical Techniques for Data Science

This specialization provides a comprehensive understanding of advanced statistical techniques used in data science. Learners will explore linear regression, model diagnostics, variable selection, Bayesian statistics, and data preparation. The courses are designed to equip data scientists and researchers with the skills needed to analyze complex data sets and draw meaningful conclusions.

Status: Logistic Regression
Status: Statistical Programming
IntermediateSpecialization

Top reviews across Advanced Statistical Techniques for Data Science

SR

Reviewed Sep 29, 2023

It is a good course, but I think the video lecture duration should be more.

ZB

Reviewed Jul 16, 2025

very interesting contents and the lecture make them easier to grasp

TS

Reviewed Dec 3, 2024

Excellent course. Concepts are well explained and very easy to understand.

TT

Reviewed May 11, 2024

The Course has good in-depth explanation on the different regression and assumptions

AP

Reviewed Aug 16, 2025

Excellent intro, gets the math-intuition-application ratio bang on.

Learner reviews across Advanced Statistical Techniques for Data Science

Showing: 9 of 9

Newton
Course: Linear RegressionReviewed Sep 27, 2023Course: Linear Regression
Fabian
Course: Linear RegressionReviewed Nov 12, 2024Course: Linear Regression
Snehangshu
Course: Linear RegressionReviewed Sep 30, 2023Course: Linear Regression
Anand
Course: Linear RegressionReviewed Aug 17, 2025Course: Linear Regression
Zhanel
Course: Linear RegressionReviewed Jul 27, 2024Course: Linear Regression
Abisola
Course: Linear RegressionReviewed Jan 1, 2025Course: Linear Regression
Zakariya
Course: Linear RegressionReviewed Jun 9, 2025Course: Linear Regression
Pawan
Course: Linear RegressionReviewed Apr 12, 2025Course: Linear Regression
themlnerdy
Course: Linear RegressionReviewed May 12, 2024Course: Linear Regression