Search result for Statistical modeling Online Courses & Certifications
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Logistic Regression using SAS - Indepth Predictive Modeling
by Gopal Prasad Malakar- 4.1
13.5 hours on-demand video
Analytics /Machine Learning / Data Science: Statistical / Econometrics foundation, SAS Program details, Modeling demo Get crystal clear understanding Get jobs in this kind of work by clearing interview with confidence Be successful at their statistical or analytical profession due to the quality output they produce...
$11.99
Manufacturing Process Control II
by Duane Boning , David Hardt- 0.0
8 Weeks
As part of the Principles of Manufacturing MicroMasters program, this course will build on statistical process control foundations to add process modeling and optimization. Developing a data-based statistical ability to solving engineering problems in general The course will conclude with a capstone activity that will integrate all the Statistical Process Control topics....
$175
Statistics with R Capstone
by Merlise A Clyde , Colin Rundel , David Banks , Mine Çetinkaya-Rundel- 4.6
Approx. 6 hours to complete
A large and complex dataset will be provided to learners and the analysis will require the application of a variety of methods and techniques introduced in the previous courses, including exploratory data analysis through data visualization and numerical summaries, statistical inference, and modeling as well as interpretations of these results in the context of the data and the research question....
Introduction to Analytics Modeling
by Joel Sokol- 0.0
16 Weeks
You’ll learn about analytics modeling and how to choose the right approach from among the wide range of options in your toolbox. You will learn how to use statistical models and machine learning as well as models for:...
$825
Introduction to Probability: Part II – Inference & Processes
by John Tsitsiklis , Patrick Jaillet , Qing He , Jimmy Li- 0.0
16 Weeks
Learn how to use probability theory to develop the basic elements of statistical inference and important random process models Probabilistic modeling and the related field of statistical inference are the keys to analyzing data and making scientifically sound predictions. an introduction to classical statistical methods Basic concepts of classical statistical inference...
$75
Introduction to Probability and Data with R
by Mine Çetinkaya-Rundel- 4.7
Approx. 14 hours to complete
You will be guided through installing and using R and RStudio (free statistical software), and will use this software for lab exercises and a final project. The concepts and techniques in this course will serve as building blocks for the inference and modeling courses in the Specialization....
Advanced Linear Models for Data Science 2: Statistical Linear Models
by Brian Caffo, PhD- 4.6
Approx. 6 hours to complete
Welcome to the Advanced Linear Models for Data Science Class 2: Statistical Linear Models....
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Applied Multivariate Analysis with R
by Geoffrey Hubona, Ph.D.- 4.1
12 hours on-demand video
It is an excellent and practical background course for anyone engaged with educational or professional tasks and responsibilities in the fields of data mining or predictive analytics, statistical or quantitative modeling (including linear, GLM and/or non-linear modeling, covariance-based Structural Equation Modeling (SEM) specification and estimation, and/or variance-based PLS Path Model specification and estimation....
$11.99
Overview of Advanced Methods of Reinforcement Learning in Finance
by Igor Halperin- 3.8
Approx. 13 hours to complete
In particular, we will talk about links between Reinforcement Learning, option pricing and physics, implications of Inverse Reinforcement Learning for modeling market impact and price dynamics, and perception-action cycles in Reinforcement Learning. Modeling Market Frictions Modeling Feedback Frictions Reinforcement Learning for Optimal Trading and Market Modeling LOB Modeling LOB Statistical Modeling...
Specialized Models: Time Series and Survival Analysis
by Mark J Grover , Miguel Maldonado- 4.5
Approx. 11 hours to complete
The hands-on section of this course focuses on using best practices and verifying assumptions derived from Statistical Learning. Identify common modeling challenges with time series data Describe hazard and survival modeling approaches...