Search result for Statistical techniques Online Courses & Certifications
FollowFilter ![]()
Filter ![]()
Showing 266 courses
By Category ![]()
By Subject![]()
By Language![]()
By Duration![]()
By Price![]()
Get Course Alerts by Email
Fitting Statistical Models to Data with Python
by Brenda Gunderson , Brady T. West , Kerby Shedden- 4.4
-
![]()
![]()
![]()
![]()
![]()
Approx. 15 hours to complete
In this course, we will expand our exploration of statistical inference techniques by focusing on the science and art of fitting statistical models to data. We will build on the concepts presented in the Statistical Inference course (Course 2) to emphasize the importance of connecting research questions to our data analysis methods....
Exploratory Data Analysis
by Roger D. Peng, PhD , Jeff Leek, PhD , Brian Caffo, PhD- 4.7
-
![]()
![]()
![]()
![]()
![]()
Approx. 55 hours to complete
This course covers the essential exploratory techniques for summarizing data. These techniques are typically applied before formal modeling commences and can help inform the development of more complex statistical models. We will also cover some of the common multivariate statistical techniques used to visualize high-dimensional data. Apply cluster analysis techniques to locate patterns in data...
Programming Statistical Applications in R
by Geoffrey Hubona, Ph.D.- 4.4
-
![]()
![]()
![]()
![]()
![]()
11 hours on-demand video
An introductory course that teaches the foundations of scientific and statistical programming using R software. Boostrap and Jackknife resampling methods are explained in detail, as are methods and techniques for estimating inference and for constructing confidence intervals, as well as of performing N-fold cross validation assessments of competing statistical models....
$11.99
Applied Statistics with Python
by Ben Tasker , David Sze- 0.0
-
![]()
![]()
![]()
![]()
![]()
16 Weeks
Analyze data using statistical methods and technology. You’ll learn how to model real-world applications using statistical methods. This course specifically explores inferential statistics - the science of applying statistical techniques to quantify and answer real-world data analysis questions. Analyze real-world problems using hypothesis tests and confidence interval techniques Analyze real-world problems using linear regression analysis techniques...
$498
Regression Analysis for Statistics & Machine Learning in R
by Minerva Singh- 4.2
-
![]()
![]()
![]()
![]()
![]()
7.5 hours on-demand video
Learn how to deal with multicollinearity both through variable selection and regularization techniques such as ridge regressionCarry out variable and regression model selection using both statistical and machine learning techniques, including using cross-validation methods . (a) Take the students with a basic level statistical knowledge to performing some of the most common advanced regression analysis based techniques...
$12.99
Statistical Inference
by Brian Caffo, PhD , Roger D. Peng, PhD , Jeff Leek, PhD- 4.2
-
![]()
![]()
![]()
![]()
![]()
Approx. 54 hours to complete
Statistical inference is the process of drawing conclusions about populations or scientific truths from data. There are many modes of performing inference including statistical modeling, data oriented strategies and explicit use of designs and randomization in analyses. Welcome to Statistical Inference Course Book: Statistical Inference for Data Science...
Applied Statistical Modeling for Data Analysis in R
by Minerva Singh- 4.2
-
![]()
![]()
![]()
![]()
![]()
9.5 hours on-demand video
(e) You will also be able to decide which statistical modelling techniques are best suited to answer your research questions and applicable to your data and interpret the results. The course will mostly focus on helping you implement different statistical analysis techniques on your data and interpret the results....
$14.99
Related searches
Statistics and R
by Rafael Irizarry , Michael Love- 0.0
-
![]()
![]()
![]()
![]()
![]()
4 Weeks
An introduction to basic statistical concepts and R programming skills necessary for analyzing data in the life sciences. This course teaches the R programming language in the context of statistical data and statistical analysis in the life sciences. We will describe robust statistical techniques as alternatives when data do not fit assumptions required by the standard approaches....
$249
A Practical Introduction to Statistical Machine Translation
by Saatviga Sudhahar- 2.8
-
![]()
![]()
![]()
![]()
![]()
3.5 hours on-demand video
Learn the basics of Statistical Machine Translation with a Practical guide to building your own MT system with Moses In this course we would focus on building a fast and high performance statistical machine translation system learning the various methodologies, tools and techniques widely used to accomplish it....
$9.99
Python Regression Analysis: Statistics & Machine Learning
by Minerva Singh- 4.4
-
![]()
![]()
![]()
![]()
![]()
6 hours on-demand video
Learn Complete Hands-On Regression Analysis for Practical Statistical Modelling and Machine Learning in Python Regression analysis is one of the central aspects of both statistical and machine learning based analysis. This does not teach the students about all the different regression analysis techniques they can apply to their own data in both academic and business setting, resulting in inaccurate modelling....
$12.99
