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Qualitative Research Methods
by Gerben Moerman- 4.6
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Approx. 24 hours to complete
In this course you will be introduced to the basic ideas behind the qualitative research in social science. We hope to take away some prejudice, and enthuse many students for qualitative research. A very warm welcome to Qualitative Research Methods! How to never emerge from the library again. Peer Review: Assignment B: instructions 3 How to mix...
What is Social?
by Randy Hlavac- 4.6
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Approx. 7 hours to complete
" MOOC is for business owners, executives, and marketing professionals who want to significantly improve their abilities to grow their social strategy using effective, proven methodologies. This course will start you on the path to growing your own social strategy using effective, proven methodologies. Introduction to Social Marketing Welcome to Social Media Marketing 2020...
Species Distribution Models with GIS & Machine Learning in R
by Minerva Singh- 4.2
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3.5 hours on-demand video
I have several years of experience in analyzing real life spatial data from different sources and producing publications for international peer reviewed journals. The underlying motivation for the course is to ensure you can put spatial data and machine learning analysis into practice today. Additionally, students will learn how to access ecological data via R....
$12.99
Fundraising and Development Foundations
by Angela Joens- 4.7
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Approx. 15 hours to complete
In this course, you will gain an introduction to the basic terminology and concepts in the field, along with an overview of the development cycle from identification and cultivation through stewardship and recognition. Introduction to Case for Support, Prospect Identification, and Annual Giving Welcome to Peer Review Assignments! Introduction to Major Gift, Planned Giving, Foundations and Corporate Giving Programs...
Serverless Microservices on AWS in 10 Hours
by Packt Publishing- 3.5
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10 hours on-demand video
The perfect course to implementing cost-effective, and scalable Microservices and APIs using serverless computing on AWS Microservices are a popular new approach to building maintainable, scalable, cloud-based applications. Build highly available microservices to power applications of any size and scale. This training program includes 2 complete courses, carefully chosen to give you the most comprehensive training possible....
$11.99
Bayesian Statistics: Techniques and Models
by Matthew HeinerTop Instructor- 4.8
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Approx. 30 hours to complete
It builds on the course Bayesian Statistics: From Concept to Data Analysis, which introduces Bayesian methods through use of simple conjugate models. Real-world data often require more sophisticated models to reach realistic conclusions. Completion of this course will give you access to a wide range of Bayesian analytical tools, customizable to your data....
Networks: Friends, Money, and Bytes
by Mung Chiang , Christopher Brinton- 4.7
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Approx. 37 hours to complete
You google a not-so-famous actor, get linked to a Wikipedia entry listing his recent movies and popular YouTube clips of several of them. Introduction to Networks Interference and Signal to Interference Ratio (SIR) Migrating to Usage Based Pricing Which Way to Watch Video on the Internet? Linux CUBIC, From Idea to Actual Deployment: Sangtae Ha...
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Major Engineering Projects: Governance, Risk and Scope
by Dr Giorgio Locatelli- 4.8
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Approx. 24 hours to complete
Gain confidence when dealing with stakeholders of major projects by learning to identify and manage those that are involved in the project planning and delivery. This course will enable you to explore project governance in theory and practice. Welcome to Major engineering projects: governance, risk and scope What is peer review?...
Exploratory Data Analysis with MATLAB
by Erin Byrne , Michael Reardon , Maria Gavilan-Alfonso , Brandon Armstrong , Nikola Trica , Cris LaPierre , Adam Filion , Heather Gorr- 4.8
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Approx. 19 hours to complete
In this course, you will learn to think like a data scientist and ask questions of your data. You will use interactive features in MATLAB to extract subsets of data and to compute statistics on groups of related data. Introduction to the Data Science Workflow How to ask Good Questions of Your Data...
Statistics for Data Science with Python
by Murtaza Haider , Aije Egwaikhide- 4.6
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Approx. 12 hours to complete
This Statistics for Data Science course is designed to introduce you to the basic principles of statistical methods and procedures used for data analysis. ✔Calculate and apply measures of central tendency and measures of dispersion to grouped and ungrouped data. ✔Identify appropriate hypothesis tests to use for common data sets. Welcome to Statistics!...
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