Search result for Mathematics and statistics Online Courses & Certifications
FollowFilter ![]()
Filter ![]()
Showing 91 courses
By Category ![]()
By Subject![]()
By Language![]()
By Duration![]()
By Price![]()
Get Course Alerts by Email
The Actuarial Profession: Basic Sciences and Principles
by Mohammad Sartawi- 3.1
-
![]()
![]()
![]()
![]()
![]()
35 mins on-demand video
The Actuarial Profession: Historical Development, Basic Sciences, and Principles the principles and scientific concepts and ideas that underpin the actuarial Differences between the principles and the rules of practice of Basic concepts and ideas underlying the actuarial studies – Explain the standards and rules of practice of the actuarial...
$12.99
Learn Data Science -Statistics,Machine Learning & NLP-Python
by Srini E- 0.0
-
![]()
![]()
![]()
![]()
![]()
20 hours on-demand video
Learn Data Science from the basics of Statistics, Mathematics ,Machine Learning & NLP with Python This Course is designed for Beginners to start learning/Understanding Data Science from the basics of Mathematics , Statistics, Machine Learning , NLP (Text Mining) & Deep Learning using Python Programming Language....
$12.99
The Math of Data Science: Linear Algebra
by Stephen Wang- 0.0
-
![]()
![]()
![]()
![]()
![]()
8 Weeks
Linear algebra is at the core of all of modern mathematics, and is used everywhere from statistics and data science, to economics, physics and electrical engineering. The last chapter concerns inner products, which allow us to use linear algebra for approximating solutions; we will see how this allows for applications ranging from statistics and linear regression to digital audio....
$159
Advanced Linear Models for Data Science 1: Least Squares
by Brian Caffo, PhD- 4.4
-
![]()
![]()
![]()
![]()
![]()
Approx. 8 hours to complete
This class is an introduction to least squares from a linear algebraic and mathematical perspective. - A basic understanding of linear algebra and multivariate calculus. - A basic understanding of statistics and regression models. One and two parameter regression Fitted values and residuals Basic examples of design matrices and fits Bases and residuals...
Advanced Linear Models for Data Science 2: Statistical Linear Models
by Brian Caffo, PhD- 4.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 6 hours to complete
This class is an introduction to least squares from a linear algebraic and mathematical perspective. - A basic understanding of linear algebra and multivariate calculus. - A basic understanding of statistics and regression models. Introduction and expected values Multivariate variances and covariances Multivariate covariance and variance matrix operations Normals and multivariate normals...
Stochastic processes
by Vladimir Panov- 4.5
-
![]()
![]()
![]()
![]()
![]()
Approx. 23 hours to complete
The purpose of this course is to equip students with theoretical knowledge and practical skills, which are necessary for the analysis of stochastic dynamical systems in economics, engineering and other fields. Quiz-3 answers and solutions Definition and main properties Definition and main properties 3: Connection between independence of normal random variables and absence of correlation...
Introduction to High-Performance and Parallel Computing
by Shelley Knuth , Thomas Hauser- 3.4
-
![]()
![]()
![]()
![]()
![]()
Approx. 18 hours to complete
This course introduces the fundamentals of high-performance and parallel computing. *Assessing and analyzing application scalability including weak and strong scaling *Quantifying the processing, data, and cost requirements for a computational project or workflow The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others....
Related searches
Data Analysis: Statistical Modeling and Computation in Applications
by Stefanie Jegelka , Caroline Uhler , Karene Chu- 0.0
-
![]()
![]()
![]()
![]()
![]()
15 Weeks
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. Prices, Economics and Time Series Environmental Data and Spatial Statistics This course is part of the MITx MicroMasters Program in Statistics and Data Science....
$300
Unpacking NumPy and Pandas
by Packt Publishing- 3.6
-
![]()
![]()
![]()
![]()
![]()
2.5 hours on-demand video
Curtis Miller is a graduate student at the University of Utah, seeking an Master’s in Statistics (MSTAT) and a Big Data Certificate. In the past, Curtis has worked as a Math Tutor, and has a double major adding mathematics with an emphasis in statistics as a second major. He currently teaches Basic Statistics at the University of Utah....
$9.99
Learn By Example: Statistics and Data Science in R
by Loony Corn- 3.8
-
![]()
![]()
![]()
![]()
![]()
9 hours on-demand video
A gentle yet thorough introduction to Data Science, Statistics and R using real life examples This course is a gentle yet thorough introduction to Data Science, Statistics and R using real life examples. Data Science, Statistics and R: This course is an introduction to Data Science and Statistics using the R programming language....
$12.99
Previous
