Search result for Statistical analysis Online Courses & Certifications
FollowFilter ![]()
Filter ![]()
Showing 500 courses
By Category ![]()
By Subject![]()
By Language![]()
By Duration![]()
By Price![]()
Get Course Alerts by Email
Basics of Tolerance Analyses - Stackup and Fits
by Mufaddal Rasheed- 4.4
-
![]()
![]()
![]()
![]()
![]()
3 hours on-demand video
This course attempts to cover the key concepts in tolerance stackup , limits, fits and statistical tolerancing with examples . Assembly shift in Tolerance analysis Statistical Tolerancing Why Statistical techniques are used? What is difference between worst case and statistical analysis...
$14.99
Reliability in Engineering Design
by Ganesh Subbarayan- 0.0
-
![]()
![]()
![]()
![]()
![]()
17 Weeks
Learn the methods of reliability analysis and reliability-driven design of mechanical and electronic systems. The course is aimed at providing an engineering view (as opposed to a purely statistical view or a management view) of reliability analysis as well as reliable product design....
$2250
Advanced Trading Analysis with R
by Diego Fernandez- 2.6
-
![]()
![]()
![]()
![]()
![]()
5.5 hours on-demand video
Learn advanced trading analysis from proficient to expert level through a practical course with R statistical software. Learn advanced trading analysis through a practical course with R statistical software using S&P 500® Index ETF prices for back-testing. It’s designed for advanced trading analysis knowledge levels and a basic understanding of R statistical software is useful but not required....
$12.99
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....
Analyze Datasets and Train ML Models using AutoML
by Antje Barth , Shelbee Eigenbrode , Sireesha Muppala , Chris Fregly- 4.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 14 hours to complete
In the first course of the Practical Data Science Specialization, you will learn foundational concepts for exploratory data analysis (EDA), automated machine learning (AutoML), and text classification algorithms. Statistical bias Statistical bias causes Measuring statistical bias Detecting statistical bias Detect statistical bias with Amazon SageMaker Clarify Approaches to statistical bias detection...
Easy Statistics: Non-Linear Regression
by F. Buscha- 5
-
![]()
![]()
![]()
![]()
![]()
1 hour on-demand video
Learning and applying new statistical techniques can often be a daunting experience. The learning on this course is underpinned by animated graphics that demonstrate particular statistical concepts. To learn and understand the basic statistical intuition behind Non-Linear regression To learn tips and tricks around Non-Linear Regression analysis What kinds of Non-Linear regression analysis exist...
$12.99
Market Segmentation Analysis
by Sara Dolnicar , Bettina Grün , Friedrich Leisch- 0.0
-
![]()
![]()
![]()
![]()
![]()
5 Weeks
Learn the ten-step process to data-driven market segmentation analysis - developing skills that will enable you to meet customers' needs and gain competitive advantage. Conducting market segmentation analysis and committing to a long-term market segmentation strategy is a complex and challenging journey for any organisation. The ten steps of a market segmentation analysis and each one's purpose....
$99
Related searches
R Programming Bible : Everything To Be A R-Programmer
by Sachin Kafle- 2.8
-
![]()
![]()
![]()
![]()
![]()
3.5 hours on-demand video
About R: R is a programming language and software environment for statistical computing and graphics. The R language is widely used among statisticians and data miners for developing statistical software and data analysis....
$9.99
Distributed Machine Learning with Apache Spark
by Ameet Talwalkar , Jon Bates- 0.0
-
![]()
![]()
![]()
![]()
![]()
4 Weeks
This statistics and data analysis course introduces the underlying statistical and algorithmic principles required to develop scalable real-world machine learning pipelines. The underlying statistical and algorithmic principles required to develop scalable real-world machine learning pipelines How to implement distributed algorithms for fundamental statistical models...
$99
Advanced Statistical Inference and Modelling Using R
by Elena Moltchanova- 0.0
-
![]()
![]()
![]()
![]()
![]()
6 Weeks
Advanced Statistical Inference and Modelling Using R is part two of the Statistical Analysis in R professional certificate. This course is directed at people who are already familiar with basic linear regression and fundamentals of statistical inference. Basics of power analysis (sample size evaluation) and some thoughts on experimental design and missing data....
$249
Previous
