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Results for "sampling (statistics)"
Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Data Cleansing, Data Access, Data Analysis, Statistical Inference, Statistical Hypothesis Testing, Data Quality, Probability & Statistics, Jupyter, Big Data, Machine Learning, Data Manipulation, Pandas (Python Package), Statistical Analysis, Data Transformation, Data Presentation, Artificial Intelligence
Skills you'll gain: Data Storytelling, Data Ethics, Data Analysis, Workflow Management, Data-Driven Decision-Making, Analytical Skills, Data Science, Communication, Business, Business Intelligence, Project Management, Stakeholder Communications, Professional Networking
University of California, Santa Cruz
Skills you'll gain: R Programming, Statistical Modeling, Bayesian Statistics, Statistical Machine Learning, Markov Model, Statistical Methods, Probability & Statistics, Unsupervised Learning, Statistical Inference, Probability Distribution, Machine Learning Algorithms
Tufts University
Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Microsoft Excel, Quantitative Research, Probability & Statistics, Statistical Analysis, Analytical Skills, Data Analysis, Statistics, Business Analytics, Python Programming
Kennesaw State University
Skills you'll gain: Lean Six Sigma, Root Cause Analysis, Process Analysis, Probability Distribution, Process Capability, Statistical Process Controls, Process Improvement, Quality Improvement, Process Mapping, Statistical Analysis, Probability, Quality Control, Statistics, Risk Management
Skills you'll gain: Software Development Life Cycle, Development Environment, Software Engineering, Software Architecture, Software Design, Programming Principles, Unified Modeling Language, Agile Methodology, Software Development, Scrum (Software Development), Web Development, Cloud Development, Integrated Development Environments, Application Development, Back-End Web Development, Front-End Web Development, Computer Programming, Python Programming
University of Colorado Boulder
Skills you'll gain: Probability, Probability & Statistics, Probability Distribution, Statistics, Bayesian Statistics, Statistical Methods, Statistical Analysis, Data Analysis
Stanford University
Skills you'll gain: Bayesian Network, Statistical Inference, Markov Model, Statistical Machine Learning, Graph Theory, Sampling (Statistics), Applied Machine Learning, Probability & Statistics, Algorithms, Probability Distribution, Machine Learning Algorithms
- Status: Free
University of London
Skills you'll gain: Matplotlib, Probability & Statistics, Data Visualization Software, Data Science, Unsupervised Learning, Statistics, NumPy, Python Programming, Pandas (Python Package), Data Analysis, Machine Learning Algorithms, Descriptive Statistics, Data Manipulation
Skills you'll gain: Natural Language Processing, Supervised Learning, Dimensionality Reduction, Text Mining, Machine Learning, Feature Engineering, Artificial Intelligence, Unstructured Data, Regression Analysis, Bayesian Statistics
American Psychological Association
Skills you'll gain: Regression Analysis, Correlation Analysis, Statistical Software, Statistical Analysis, Statistical Methods, Descriptive Statistics, Histogram, Data Analysis, Box Plots, Exploratory Data Analysis, Analysis, Graphing, Data Visualization Software, Probability & Statistics, Plot (Graphics), Quantitative Research, Statistical Visualization, Statistical Hypothesis Testing, Statistics, Data Management
University of Toronto
Skills you'll gain: Computer Vision, Image Analysis, Embedded Software, Automation, Deep Learning, Simulation and Simulation Software, Software Architecture, Safety Assurance, Artificial Neural Networks, Global Positioning Systems, Visualization (Computer Graphics), Hardware Architecture, Process Control, Systems Architecture, Graph Theory, Estimation, Algorithms, Artificial Intelligence, Machine Learning Methods, Mathematical Modeling
In summary, here are 10 of our most popular sampling (statistics) courses
- Exploratory Data Analysis for Machine Learning:Â IBM
- Foundations of Data Science:Â Google
- Bayesian Statistics: Mixture Models:Â University of California, Santa Cruz
- Hypothesis Testing with Python and Excel:Â Tufts University
- Six Sigma Tools for Analyze:Â Kennesaw State University
- Introduction to Software Engineering:Â IBM
- Probability Theory: Foundation for Data Science:Â University of Colorado Boulder
- Probabilistic Graphical Models 2: Inference:Â Stanford University
- Foundations of Data Science: K-Means Clustering in Python:Â University of London
- Natural Language Processing with Classification and Vector Spaces:Â DeepLearning.AI