Certification
Level
Duration
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Machine Learning Foundations: A Case Study Approach
Learn Machine Learning Foundations: A Case Study Approach from University of Washington. Do you have data and wonder what it can tell you?
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24 h
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Machine Learning: Regression
Case Study - Predicting Housing Prices In our first case study, predicting house prices, you will create models that predict a continuous value (price) from input features (square footage, number of bedrooms and bathrooms).
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22 h
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Machine Learning: Classification
In this course, you will create classifiers that provide state-of-the-art performance on a variety of tasks.
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21 h
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Business English: Networking
This course begins with a welcome message and an overview of the Specialization.
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28 h
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Introduction to Public Speaking
Learn Introduction to Public Speaking from University of Washington. This course gives you a reliable model for preparing and delivering effective presentations. In business, in school, and in public life, we are often called upon to “make a ...
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17 h
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Machine Learning: Clustering & Retrieval
Case Studies: Finding Similar Documents A reader is interested in a specific news article and you want to find similar articles to recommend.
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17 h
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Practical Predictive Analytics: Models and Methods
Statistical experiment design and analytics are at the heart of data science.
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7 h
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Business English: Making Presentations
This course teaches you language and techniques that will help you make effective presentations in English.
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19 h
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Practical Predictive Analytics: Models and Methods
Statistical experiment design and analytics are at the heart of data science.
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8 h
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Business English: Planning & Negotiating
In this course, the context is hosting an event and finding an appropriate venue for it.
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36 h
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Speaking to persuade: Motivating audiences with solid arguments and moving language
Learn Speaking to persuade: Motivating audiences with solid arguments and moving language from University of Washington.
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18 h
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Programming Languages, Part B
Programming Languages, Part B from University of Washington. [As described below, this is Part B of a 3-part course. Participants should complete Part A first -- Part B ""dives right in"" and refers often to material from Part A.]
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17 h
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Communicating Data Science Results
Learn Communicating Data Science Results from University of Washington.
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9 h
Subjects
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