Category: Master of Applied Data Science

My 133rd certificate from Coursera

Fitting Statistical Models to Data with Python University of Michigan AI is combination of many different fields. Statistics...

keslerzhuMay 25, 2023

Logistic Regression Logistic regression is an extension to linear regression. When there are only only 2 options for...

keslerzhuMay 23, 2023

The purpose of fitting models to data is to help answer research questions. We specify models based on...

keslerzhuApr 20, 2023

Inferential Statistical Analysis with Python University of Michigan Simply put, this course teaches 2 things: confidence intervals and...

keslerzhuJan 12, 2023

Typically we have some question, and that question could be “could the value of the parameter be X?”...

keslerzhuJan 7, 2023

We use data to do statistical inference means we either estimate some parameters with confidence, or test some...

keslerzhuJan 5, 2023

Understanding and Visualizing Data with PythonUniversity of Michigan This is a fantastic statistics course taught in the setting...

keslerzhuNov 30, 2021

In the 1930s, Jerzy Nayman and others made some very important breakthroughs in this area and his work...

keslerzhuNov 7, 2021

Statistics: Arts and Sciences Statistics is the subject that encompasses all aspects of learning from data. We are...

keslerzhuOct 19, 2021

Applied Machine Learning in PythonUniversity of Michigan This is a nice course about scikit-learn – a stable, powerful...

keslerzhuMar 3, 2018

Programming for Everybody (Getting Started with Python)University of Michigan Oh, I love this course, the lecturer Prof. Charles...

keslerzhuNov 24, 2017

Introduction to Data Science in PythonUniversity of Michigan This is a nice course to get familiar with NumPy,...

keslerzhuNov 12, 2017