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Explore the Statistical Inference Course Catalog
Google Cloud
Skills you'll gain: Data Quality, MLOps (Machine Learning Operations), Machine Learning, Applied Machine Learning, Supervised Learning, Exploratory Data Analysis, Google Cloud Platform, Predictive Modeling, Regression Analysis, Verification And Validation, Sampling (Statistics), Performance Tuning
Skills you'll gain: Data Ethics, Data Analysis, Data Modeling, Artificial Intelligence, Machine Learning, Technical Communication
Google Cloud
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Applied Machine Learning, Machine Learning Methods, Deep Learning, Natural Language Processing, Machine Learning
Google Cloud
Skills you'll gain: MLOps (Machine Learning Operations), Data Management, Data Governance, Data Processing, Google Cloud Platform, Workflow Management, Tensorflow, Applied Machine Learning, Data Pipelines, Machine Learning, Containerization, Performance Tuning, Continuous Monitoring
- Status: Free Trial
Skills you'll gain: Data Ethics, Google Cloud Platform, Artificial Intelligence, Open Source Technology, Tensorflow, Machine Learning, Applied Machine Learning, Data Validation, Data Quality
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Deep Learning, Application Deployment, Applied Machine Learning, Data Pipelines, Scalability, Machine Learning
Skills you'll gain: Data Ethics, Google Cloud Platform, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Open Source Technology, Machine Learning, Data Quality, Data Analysis, Data Validation
Google Cloud
Skills you'll gain: Applied Machine Learning, Data Quality, Machine Learning Methods, Machine Learning, Data Cleansing, Machine Learning Algorithms, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Google Cloud Platform, Exploratory Data Analysis, Predictive Modeling, Performance Tuning, Big Data, Sampling (Statistics), Regression Analysis
- Status: NewStatus: Free Trial
Case Western Reserve University
Skills you'll gain: Geostatistics, Exploratory Data Analysis, Spatial Analysis, Geospatial Information and Technology, Data Cleansing, Data Analysis, Statistical Modeling, Statistical Analysis, Statistical Methods, Estimation, Simulation and Simulation Software, Data Integration
- Status: NewStatus: Free Trial
Case Western Reserve University
Skills you'll gain: Geostatistics, Exploratory Data Analysis, Spatial Analysis, Descriptive Statistics, Box Plots, Statistical Modeling, Geospatial Information and Technology, R Programming, Plot (Graphics), Rmarkdown, Data Analysis, Data Cleansing, Statistical Methods, Statistical Analysis, Data Import/Export, Simulations
Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Tensorflow, Applied Machine Learning, Performance Tuning, Systems Architecture, Software Architecture, Data Validation, Machine Learning, Distributed Computing, Scalability, Hybrid Cloud Computing, Debugging, Data Processing, Data Pipelines
- Status: NewStatus: Free Trial
Skills you'll gain: Power BI, Dashboard, Interactive Data Visualization, Data Analysis Expressions (DAX), Data Governance, Data Modeling, Microsoft Power Platform, Data Transformation, Data Management, Data Manipulation, Role-Based Access Control (RBAC), Data Security, Data Cleansing
Statistical Inference learners also search
In summary, here are 10 of our most popular statistical inference courses
- Launching into Machine Learning - 한국어: Google Cloud
- Responsible AI for Developers: Interpretability & Transparency - 繁體中文: Google Cloud
- Encoder-Decoder Architecture - 日本語版: Google Cloud
- Machine Learning in the Enterprise - 한국어: Google Cloud
- Geliştiriciler İçin Sorumlu Yapay Zeka: Adalet ve Önyargı: Google Cloud
- Build, Train and Deploy ML Models with Keras on Google Cloud - 日本語版: Google Cloud
- Responsible AI for Developers: Fairness & Bias - Español: Google Cloud
- Launching into Machine Learning - Italiano: Google Cloud
- Case Studies in Geostatistical Modeling : Case Western Reserve University
- Using R for Geostatistical Geospatial Modeling : Case Western Reserve University