Search result for Introduction to research methods course Online Courses & Certifications
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Experimentation for Improvement
by Kevin Dunn- 4.8
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Approx. 13 hours to complete
A key part of the course is how to optimize a system. It is very difficult to make such a mathematical course accessible and comprehensible to this wide a variety of people!" Introduction Promotional video for this course Response surface methods (RSM) to optimize any system 5A: Response surface methods (RSM): an introduction...
Nursing Informatics Leaders
by Bonnie L. Westra, PhD, RN, FAAN, FACMI- 4.4
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Approx. 14 hours to complete
By the end of the module, you will understand the resources available that will be used in this course to learn about the first hand experiences, future vision, and lessons learned in becoming a nursing informatics pioneer. An introduction to the competing values framework Listen to or read the transcript of Dr....
Introduction to Computational Materials Design
by Yoshitada MORIKAWA , Tamio OGUCHI , Masaaki Geshi- 0.0
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5 Weeks
The purpose of this course is to analyze the present status and possibilities of computational materials design and to implement a new paradigm of material science by learning basic cutting-edge computational methods and designing materials using quantum simulation program codes. Yoshitada Morikawa: Introduction Masaaki Geshi: Introduction to High-Performance Computing...
$139
Science of Training Young Athletes Part 2
by Dr. Chris Brooks- 5
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Approx. 25 hours to complete
In this course you will learn how to design the type of training that takes advantage of the plastic nature of the athlete’s body so you mold the right phenotype for a sport. Upon completion of this course you will be able to assemble a scientifically sound annual training plan. Course Introduction...
Introduction to Statistical Analysis: Hypothesis Testing
by Jordan Bakerman- 4.8
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Approx. 10 hours to complete
This introductory course is for SAS software users who perform statistical analyses using SAS/STAT software. The focus is on t tests, ANOVA, and linear regression, and includes a brief introduction to logistic regression. Course Overview and Data Setup Follow These Instructions to Set Up Data for This Course (REQUIRED) Introduction and Review of Concepts...
Digital Systems: From Logic Gates to Processors
by Elena Valderrama , Jean-Pierre Deschamps , Lluis Terés , Merce Rullan , Joaquín Saiz Alcaine , David Bañeres , Juan Antonio Martínez- 4.4
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Approx. 29 hours to complete
All you need to know to start the course Arithmetic components + Introduction to VHDL 2 (1outof2): Introduction to VHDL - Lexicon, syntax and structure 2 (2outof2): Introduction to VHDL - Lexicon, syntax and structure 3 (1outof2): Introduction to VHDL - Sequential sentences 3 (2outof2): Introduction to VHDL - Sequential sentences...
Making Architecture
by Nenad Katic , Manuel Perez Romero , David Jeffrey Goodman- 4.8
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Approx. 14 hours to complete
The course should act as ideal preparation for those interested in undertaking an undergraduate degree in Architecture, although its flexible, intriguing and enjoyable content makes it accessible for all those looking to increase their knowledge in the field. Introduction to week 2 Introduction to week 3 Introduction to visual composition. Introduction to week 4....
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People Analytics
by Cade Massey , Martine Haas , Matthew Bidwell- 4.5
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Approx. 9 hours to complete
This course is an introduction to the theory of people analytics, and is not intended to prepare learners to perform complex talent management data analysis. This course is intended to introduced you to Organizations flourish when the people who work in them flourish. Introduction to People Analytics Introduction to Professor Bidwell Introduction to Professor Haas...
First Steps in Linear Algebra for Machine Learning
by Dmitri Piontkovski , Vsevolod L. Chernyshev- 4.1
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Approx. 21 hours to complete
The main goal of the course is to explain the main concepts of linear algebra that are used in data analysis and machine learning. Another goal is to improve the student’s practical skills of using linear algebra methods in machine learning and data analysis. Introduction to Linear Algebra Introduction to support vector machine...
Build Regression, Classification, and Clustering Models
by Anastas Stoyanovsky- 0.0
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Approx. 20 hours to complete
This third course within the Certified Artificial Intelligence Practitioner (CAIP) professional certificate introduces you to some of the major machine learning algorithms that are used to solve the two most common supervised problems: regression and classification, and one of the most common unsupervised problems: clustering. Build Regression, Classification, and Clustering Models Course Introduction...
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