Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

NIOS

Statistical Methods for Scientists and Engineers

NIOS via YouTube

Overview

Prepare for a new career with $100 off Coursera Plus
Gear up for jobs in high-demand fields: data analytics, digital marketing, and more.
This course covers non-parametric methods, multivariate analysis, parametric methods, and continuous random variables and their distributions. The learning outcomes include understanding statistical methods for scientists and engineers. The course teaches skills in non-parametric and parametric methods, multivariate analysis, and analyzing continuous random variables. The teaching method involves theoretical explanations and practical examples. The intended audience for this course is scientists and engineers looking to enhance their statistical analysis skills.

Syllabus

Non parametric Methods - III.
Multivariate Analysis - XI.
Non parametric methods - II.
Multivariate Analysis-III.
Multivariate Analysis - X.
Non parametric methods - I.
Multivariate Analysis-II.
Multivariate Analysis - IX.
Multivariate Analysis-I.
Multivariate Analysis - VIII.
Multivariate Analysis - XII.
Non parametric Methods - VI.
Parametric methods - VII (CH_30).
Multivariate Analysis - VII.
Non parametric Methods - V.
Multivariate Analysis -VI.
Multivariate Analysis-V.
Non parametric Methods - IV.
Multivariate Analysis - IV.
Non parametric Methods - XI.
Non parametric Methods - X.
Non parametric Methods - IX.
Non parametric Methods - VIII.
Non parametric Methods - VII.
Non Parametric Methods - XII.
Non Parametric Methods - XIII.
Continuous random variables and their distributions.

Taught by

Ch 30 NIOS: Gyanamrit

Reviews

Start your review of Statistical Methods for Scientists and Engineers

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.