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Understanding Medical Research: Your Facebook Friend is Wrong
by F. Perry WilsonTop Instructor- 4.9
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Approx. 17 hours to complete
Understanding Medical Studies, will provide you with the tools and skills you need to critically interpret medical studies, and determine for yourself the difference between good and bad science. The course covers study-design, research methods, and statistical interpretation. Course Introduction Pre Course Surveys Medical Statistics Made Ridiculously Simple Sampling: The Secret Sauce of Statistics...
Inferential Statistics
by Mine Çetinkaya-Rundel- 4.8
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Approx. 17 hours to complete
This course covers commonly used statistical inference methods for numerical and categorical data. The course introduces practical tools for performing data analysis and explores the fundamental concepts necessary to interpret and report results for both categorical and numerical data About the Specialization and the Course About Statistics with R Specialization Another Introduction to Inference Introduction...
SQL for Data Science Capstone Project
by Don Noxon- 3.9
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Approx. 35 hours to complete
Data science is a dynamic and growing career field that demands knowledge and skills-based in SQL to be successful. This course is designed to provide you with a solid foundation in applying SQL skills to analyze data and solve real business problems. Course Introduction and Welcome Milestone 1 Introduction Introduction of Data of Unknown Quality...
Foundations of Virtual Instruction
by Cindy Carbajal- 4.4
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Approx. 13 hours to complete
Welcome to Foundations of Virtual Instruction! This course will help you 'up' your game and develop the advanced skills and techniques that elude even some of the most experienced virtual teachers in the K-12 space. • Use a variety of online tools to provide feedback and personalize the learning experience. About this Course...
Fundamentals of Data Science with Python
by Packt Publishing- 3.8
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2.5 hours on-demand video
Python has grown into a key language that can be used to develop solutions for a variety of data science challenges. The course also covers visualization methods using the Matplotlib library to display this analysis and visually demonstrate patterns in the data. Course Overview Introduction to Python Introduction to the NumPy Array...
$12.99
Introduction to International Criminal Law
by Michael Scharf- 4.8
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Approx. 13 hours to complete
-- About the Course -- In addition, there will be online role-play exercises and debates, enabling the students to share their own insights. Each unit is based on an online reading assignment, a video lecture of about one hour in length, and one or more role play exercises to stimulate on-line discussion....
Blockchain and Cryptocurrency Explained
by Robert Dittmar , Andrew Wu- 4.7
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Approx. 9 hours to complete
Introduction Fintech Innovations: Series Introduction Introduction to Blockchain and Crypto Course Introduction Introduction to Blockchain Introduction to Bitcoin Introduction to Ethereum Course Feedback Keep Learning with Michigan Online...
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Population Health: Syndemics
by Matty Crone , Ria Reis- 0.0
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Approx. 18 hours to complete
Do you wish to contribute to breaking cycles of ill-health in disadvantaged populations? This course will learn you about the concept of syndemcs and how to explore these combined medical and social problems. Welcome to Leiden University How to succeed in your online class? Introduction to qualitative research I Introduction to qualitative research II...
Introduction to Linear Models and Matrix Algebra
by Rafael Irizarry , Michael Love- 0.0
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4 Weeks
In this introductory online course in data analysis, we will use matrix algebra to represent the linear models that commonly used to model differences between experimental units. Throughout the course we will use the R programming language to perform matrix operations. 2x: Introduction to Linear Models and Matrix Algebra 5x: Introduction to Bioconductor Brief introduction to the QR decomposition...
$149
Random Models, Nested and Split-plot Designs
by Douglas C. Montgomery- 4.6
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Approx. 9 hours to complete
A well-know situation is the study of measurement systems to determine their capability. This course presents the design and analysis of these types of experiments, including modern methods for estimating the components of variability in these systems. Course Introduction Course Description Course Textbook and Resources Best Practices in Online Learning (or How to Succeed in This Class) Unit 1: Introduction...
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