1653 Courses and Certifications

Online Teaching And Academics Courses & Certifications

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The Complete Introduction to LAMMPS

Sandia national laboratories developed a program for molecular dynamics called a large-scale atomic/molecular massively parallel simulator. LAMMPS is free and open-source software that is distributed under the terms of the GNU General Public License. It employs the Message Passing Interface for communication. In the beginning, LAMMPS was a collaborative effort between two DOE labs and three private sector labs, organised as a CRADA. The LAMMPS software makes use of neighbour lists to keep track of nearby particles in order to conserve computational resources. The lists have been fine-tuned for systems in which particles repel one another over relatively short distances, preventing an excessive buildup of particles in any given area. The Complete Introduction to LAMMPS certification is made available by Udemy to candidates who aspire to learn and explore the fundamentals of LAMMPS

The Complete Introduction to LAMMPS online training includes five hours of video and a digital certificate upon course completion.

The Complete Introduction to LAMMPS online classes consist of LAMMPS installation, LAMMPS case structure, flow case, deposition case with atoms, and peptide cases.

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2,299

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How to Build a Free Energy Device

A perpetual motion machine is known as a "free energy device" and is said to have the ability to draw power from an undiscovered free energy field. The term "energy-free energy generator" refers to a device with strong power and quick movement, no need for fuel or electricity, and seeks to save the environment and get rid of pollution. How to Build a Free Energy Device online certification is created by Gilad James - Ph.D. & Researcher of hidden knowledge, which is delivered by Udemy.

How to Build a Free Energy Device online classes are designed for individuals who are interested in understanding the physics and free energy principles and concepts as well as becoming proficient in the techniques that might be used to violate the law of conservation of energy. The goal of the How to Build a Free Energy Device online course is to assist individuals in building free energy devices from the ground up and understanding how they work to enhance the quantity of energy that is readily available from nature.

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799
Skills Covered:
Knowledge of engineering

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Social Justice Advocacy 101

1,999

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Malcolm X As A Modern Guide

799

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Future Masculinity

1,799

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Introduction to fsQCA using R.

1,999

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Understanding society

1,499

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Probabilistic Graphical Models 1 Representation

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Probabilistic Graphical Models 1: Representation

The Probabilistic Graphical Models 1: Representation course by Coursera is a part of the Probabilistic Graphical Models Specialization on the Coursera platform. Stanford University offers a certification course in association with Coursera.

The Probabilistic Graphical Models 1: Representation online course has a curriculum spread out over five weeks. The certification course will help you develop a deep understanding of the PGM framework by communicating perplex material with skill. Moreover, the online course primarily covers the fundamentals of Bayesian networks and Markov networks. 

Furthermore, the Probabilistic Graphical Models 1: Representation certification course promotes interaction and improvement with a comprehensive curriculum, intermittent assignments, and discussion boards. Candidates can self-assess using these mediums and grasp the course contents at their own pace. 

Finally, Coursera provides a certificate upon successful completion of the  Probabilistic Graphical Models 1: Representation course. The certificate can be added to the resume or shared on LinkedIn and other professional websites. Learners can also take a print out of the certificate.

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Expert
5,029
Skills Covered:
Machine learning
Fundamentals of Data Science and Statistics

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Fundamentals of Data Science and Statistics

The Fundamentals of Data Science and Statistics course will help you develop a foundation in the fundamentals of data science and statistics. The program will take you through multiple core concepts through a hands-on approach. The faculty for this training boasts over 20 years of teaching experience and has ample skills in the relevant field. 

Furthermore, the Fundamentals of Data Science and Statistics program takes you through probability concepts, hypothesis testing, and linear regression essentials. Additionally, the curriculum of the training emphasizes advanced linear regression. You will get to know about multiple regression, ANOVA table, serial correlation, and other related concepts.

This Fundamentals of Data Science and Statistics online course by E & ICT Academy (IIT Kanpur) houses assignments and a course-end assessment to help you acquire a course certificate. You will have the opportunity of attending live sessions with the course instructor. Moreover, there will be a total of five lectures only.

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5,000
Skills Covered:
Statistical skills Data science knowledge

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Certificate

Master Statistics with Python

The Master Statistics with Python programme on Codecademy is a skill path curriculum. The course covers vital concepts about one of the most in-demand programming languages, Python. As such, you’ll develop a specialised skill in using Python for running hypothesis tests and summarising data. 

Besides, hand-picked content is provided in this training to help you fast-track your learning and complete the course in a few months. Codecademy offers a vast Master Statistics with Python certification syllabus. 

You will gain comprehensive knowledge on quantitative data stats, probability, visualising categorical data, and other related topics. Moreover, these skills will make you fluent in communicating data, testing your theories, and establishing a firm Python expertise. 

With Codecademy’s Pro plan, you can get extra benefits for the Master Statistics with Python course. You’ll become a part of the Pro members’ community, get unlimited programme access, work on real-world projects, and receive a step-by-step training roadmap. The Pro subscription also includes additional lessons on experimental design, SciPy, matplotlib, NumPy, and more.

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Intermediate
Skills Covered:
Knowledge of Python Knowledge of Numpy

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Certificate

Intro to Inferential Statistics

The Intro to Inferential Statistics online course is free of cost programme which is brought to the students by Udacity. Candidates who enrol on the course will be able to pursue this programme in online mode. 

The Intro to Inferential Statistics syllabus includes seven chapters along with various exercises and interactive quizzes and students will be able to complete the entire curriculum in the time period of two months. The course is a self-paced programme and can be pursued without any time limitations according to the schedule of the participants. Students can access the Intro to Inferential Statistics Course at any time depending upon their requirements.

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Skills Covered:
Statistical skills
Statistics

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Certificate

Statistics

Candidates who join the programme will be gaining plenty of information regarding data, variables, research methods, distribution analysis, and other related aspects. The course is available for all the interested students at absolutely zero cost. Candidates can complete the curriculum in online mode through the website named Udacity. 

Students who take up the course can access the course 24x7 without any limitations as the course is a self-paced programme. The course comprises a total of six lessons that can be completed in the time span of four months. Students get to learn from the Statistics syllabus through interactive video sessions and quizzes throughout the programme.

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Skills Covered:
Statistical skills

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