Statistical Modeling

Sort options

Data Analysis: Statistical Modeling and Computation in Applications (edX)

Aug 30th 2021
Data Analysis: Statistical Modeling and Computation in Applications (edX)
Course Auditing
Categories
Effort
Languages
A hands-on introduction to the interplay between statistics and computation for the analysis of real data. -- Part of the MITx MicroMasters program in Statistics and Data Science. Data science requires multi-disciplinary skills ranging from mathematics, statistics, machine learning, problem solving to programming, visualization, and communication skills. In this [...]
0
No votes yet

Machine Learning with Python: A Practical Introduction (edX)

Self Paced
Machine Learning with Python: A Practical Introduction (edX)
Course Auditing
Categories
Effort
Languages
Machine Learning can be an incredibly beneficial tool to uncover hidden insights and predict future trends. This Machine Learning with Python course will give you all the tools you need to get started with supervised and unsupervised learning.
6
Average: 6 ( 3 votes )

Statistical Predictive Modelling and Applications (edX)

Learn how to apply statistical modelling techniques to real-world business scenarios using Python. In this course, you will learn three predictive modelling techniques - linear and logistic regression, and naive Bayes - and their applications in real-world scenarios. The first half of the course focuses on linear regression. This [...]
0
No votes yet

Statistical Shape Modelling: Computing the Human Anatomy (FutureLearn)

Learn the technology of modelling, as used in computational face recognition or in surgeries, with this free online course. Statistical shape models are one of the most important technologies in computer vision and medical image analysis. With this technology, the computer learns the characteristic shape variations of an object [...]
10
Average: 10 ( 2 votes )

Statistical Inference and Modeling for High-throughput Experiments (edX)

A focus on the techniques commonly used to perform statistical inference on high throughput data. In this course you’ll learn various statistics topics including multiple testing problem, error rates, error rate controlling procedures, false discovery rates, q-values and exploratory data analysis. We then introduce statistical modeling and how it [...]
0
No votes yet

Statistical Modeling and Regression Analysis (edX)

An introduction to commonly used linear regression models along with detailed implementation of the models within real data examples using the R statistical software. Regression Analysis is the most common statistical modeling approach used in data analysis and it is the basis for more advanced statistical and machine learning [...]
2
Average: 2 ( 2 votes )

Policy Analysis Using Interrupted Time Series (edX)

A comprehensive course on conducting and presenting policy evaluations using interrupted time series analysis. Interrupted time series analysis and regression discontinuity designs are two of the most rigorous ways to evaluate policies with routinely collected data. ITSx comprehensively introduces analysts to interrupted time series analysis (ITS) and regression discontinuity [...]
10
Average: 10 ( 2 votes )

Applied Regression Analysis (Coursera)

Regression modeling is the standard method for analysis of continuous response data. This course provides theoretical and practical training in statistical modeling with particular emphasis on linear and multiple regression.
10
Average: 10 ( 2 votes )