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Fitting Statistical Models to Data with Python
by Brenda Gunderson , Brady T. West , Kerby Shedden- 4.4
Approx. 15 hours to complete
In this course, we will expand our exploration of statistical inference techniques by focusing on the science and art of fitting statistical models to data. Types of Variables in Statistical Modeling Different Study Designs Generate Different Types of Data: Implications for Modeling Objectives of Model Fitting: Inference vs. Other Types of Dependent Variables...
Introduction to Petroleum Engineering
by Konstantin Maksyutin , Liubov Vorobyeva- 4.7
Approx. 27 hours to complete
Each participant in the course will develop an understanding of field life cycle and interdisciplinary approach to petroleum field development and operation. ) but require general understanding of petroleum industry. Stimulation methods Stimulation methods Analyse and apply theoretical knowledge in the area of petroleum geology, reservoir engineering and production technology Understand application areas of petrochemical products...
Python Classes and Inheritance
by Steve Oney , Paul Resnick- 4.7
Approx. 17 hours to complete
You'll also learn how to override built-in methods and how to create "inherited" classes that reuse functionality. Adding Other Methods to a Class Special (dunderscore) Methods Sorting Lists of Instances Adding Other Methods to a Class Sorting Lists of Instances Inheriting Variables and Methods Overriding Methods Inheriting Variables and Methods Overriding Methods...
Cluster Analysis in Data Mining
by Jiawei Han- 4.5
Approx. 17 hours to complete
Discover the basic concepts of cluster analysis, and then study a set of typical clustering methodologies, algorithms, and applications. This includes partitioning methods such as k-means, hierarchical methods such as BIRCH, and density-based methods such as DBSCAN/OPTICS. Moreover, learn methods for clustering validation and evaluation of clustering quality. 6 An Overview of Clustering Different Types of Data...
UX and Interface Design for Embedded Systems
by Bruce Montgomery, PhD, PMP- 0.0
Approx. 12 hours to complete
This course can also be taken for academic credit as ECEA 5346, part of CU Boulder’s Master of Science in Electrical Engineering degree. The class includes practical projects that let you try some of the key methods in a thorough interface design process. Review of Course Projects UX Analysis and Planning Methods...
Bioconductor for Genomic Data Science
by Kasper Daniel Hansen, PhD- 3.9
Approx. 9 hours to complete
Learn to use tools from the Bioconductor project to perform analysis of genomic data. R Base Types Basic Data Types R S4 Methods...
Fatigue Failure in Different Fields of Engineering
by Kazem Reza Kashyzadeh- 0.0
Approx. 23 hours to complete
• Do a testing exam at the end of each week to make sure you have a good understanding of the content; Different types of failure and importance of fatigue failure Different types of failure and importance of fatigue failure Various methods for delaying time of fatigue failure Different types of fatigue loads Different types of fatigue loads...
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Six Sigma Principles
by Bill Bailey, PhD , Gregory Wiles, PhD , David Cook, PhD , Christina Scherrer, PhD- 4.6
Approx. 13 hours to complete
This course is for you if you are looking to learn more about Six Sigma or refresh your knowledge of the basic components of Six Sigma and Lean. What is Quality - Origins of Six Sigma - David Cook Purpose of Six Sigma Types of Teams Types of Teams - Recommended Reading...
Introduction to Healthcare
by Nigam Shah , Mildred Cho , Laurence Baker- 4.8
Approx. 12 hours to complete
Overview of the Types and Roles of Intermediaries Overview of the Types and Roles of Providers Utilization Review, Gatekeepes, and Other Methods of Directly Influencing Care Quality of Care Overview and Key Organizing Concepts Overview of Some Approaches to Improving Quality Overview of AI applications in delivery of health care services and ethical issues...
MOOC: How to make a MOOC?
by Olga Echevskaya , Liliya Styazhkina , Yakov Somov , Anastasia Gribanovskaya , Katerina Andreevskaya , Margarita Shirinyan , Vladimir Porhunov , Irina Sokolova , Anastasia Zulina , Nikita Kolesov , Stepa Semenov- 4.4
Approx. 10 hours to complete
How to support online courses after launch, and what should be considered when creating quizzes and other types of graded and ungraded assignments? Types of launches and operation modes Methods of presenting information Types of shooting used in MOOC Types of assignments in online course LAUNCH AND SUPPORT OF THE COURSE Types of support...