Aim of Course:
This course will explain meta analysis - the methods that are used to assess multiple statistical studies on the same subject and draw conclusions.
- Teacher: Michael Borenstein
- Teacher: Hannah Rothstein
The Institute for Statistics Education at Statistics.com
is the leading provider of online education in statistics.
We offer 100+ courses in introductory and advanced statistical subjects.
Students from around the world study with leading authorities via private discussion boards
We offer 100+ courses in introductory and advanced statistical subjects.
Students from around the world study with leading authorities via private discussion boards
on flexible schedules.
Teaching assistants provide individual responses in practical exercises.
Statistics.com confers CEU's, Records of Completion, and Certificates in advanced statistical study.
Teaching assistants provide individual responses in practical exercises.
Statistics.com confers CEU's, Records of Completion, and Certificates in advanced statistical study.
Available courses
Aim of Course:
This course will show you how to use R to create statistical models and use them to analyze data.
- Teacher: Adil Yalcin
Aim of Course:
This course is designed to give you an introduction to the algorithms, techniques and software used in natural language processing (NLP).
- Teacher: Nitin Indurkhya
Aim of Course:
This course will teach users how to implement spatial statistical analysis procedures using R software. Topics covered include point pattern analysis, identifying clusters, measures of spatial association, geographically weighted regression and surface processing.
- Teacher: David Unwin
Aim of Course:
This course will show you how to use R to create statistical models and use them to analyze data.
- Teacher: Cliff Ragsdale
Aim of Course:
In this online course, "Programming 2:Python," you'll learn
everything you need to get you started using Python for data analysis. We'll review basic Python skills and data structures, move on to how
to load data from different sources, rearrange and aggregate it, and
finally how to analyze and visualize it to create high-quality products.
- Teacher: Kuber Deokar
- Teacher: Inbal Yahav
Aim of Course:
This course continues the work of Predictive Analytics 1, and introduces you to additional techniques in predictive analytics, also called predictive modeling, the most prevalent form of data mining.
- Teacher: Anthony Babinec
Aim of Course:
This course continues the work of Predictive Analytics 1, and introduces
you to additional techniques in predictive analytics, also called
predictive modeling, the most prevalent form of data mining.
- Teacher: Peter Gedeck
Aim of Course:
This course will show you how to use R to create statistical models and use them to analyze data.
- Teacher: Ben Baumer
- Teacher: Adam Eisenstadt
Aim of Course:
This course will show you how to use R to create statistical models and use them to analyze data.
- Teacher: Galit Shmueli