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Google Cloud
Skills you'll gain: Cloud Computing, Cloud Platforms, Docker (Software), Google Cloud Platform, Kubernetes
Università di Napoli Federico II
- Status: Free
University of Toronto
Skills you'll gain: Communication
- Status: Free
University of Alberta
University of Michigan
Skills you'll gain: Basic Descriptive Statistics, Data Analysis, General Statistics, Probability & Statistics, Statistical Analysis, Probability Distribution, Statistical Visualization, Data Visualization, Python Programming, Statistical Tests, Computer Programming
University of California, Irvine
Skills you'll gain: Kubernetes
Skills you'll gain: Apache, Big Data, Distributed Computing Architecture, Data Management, Kubernetes, Data Architecture, Data Warehousing, Extract, Transform, Load, Process Analysis, Python Programming
Queen Mary University of London
Skills you'll gain: Exploratory Data Analysis, Market Research, Critical Thinking, Data Management, Research and Design, User Experience, Business Communication, Customer Analysis, Data Structures, User Research, Experiment
Stanford University
Skills you'll gain: Bayesian Network, General Statistics, Probability & Statistics, Graph Theory, Bayesian Statistics, Markov Model
University of Pennsylvania
Skills you'll gain: Influencing
Skills you'll gain: Cloud Computing, Cloud Engineering, Cloud Platforms, Google Cloud Platform, Kubernetes
Searches related to clusters
In summary, here are 10 of our most popular clusters courses
- Getting Started with Google Kubernetes Engine:Â Google Cloud
- Global Politics: Università di Napoli Federico II
- Knowledge and Skills for Dementia Care: the SSLD Approach :Â University of Toronto
- Astro 101: Black Holes:Â University of Alberta
- Understanding and Visualizing Data with Python:Â University of Michigan
- Consonants of American English Pronunciation:Â University of California, Irvine
- Kubernetes for the Absolute Beginners with Hands-on Labs:Â KodeKloud
- Introduction to Big Data with Spark and Hadoop:Â IBM
- Research Methodologies:Â Queen Mary University of London
- Probabilistic Graphical Models 2: Inference:Â Stanford University