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331 results for "data analysis and statistical inference"
Duke University
Skills you'll gain: Data Science, Machine Learning
University of Colorado Boulder
Skills you'll gain: General Statistics, Statistical Analysis, Probability & Statistics, Regression, R Programming
University of Colorado Boulder
Skills you'll gain: General Statistics, Probability Distribution
University of Colorado System
Skills you'll gain: Clinical Data Management, Data Analysis, Data Management, Data Analysis Software, Databases, Leadership and Management, SQL, R Programming
Skills you'll gain: Machine Learning, Natural Language Processing, Artificial Neural Networks, Data Science, Python Programming
Queen Mary University of London
Skills you'll gain: Leadership and Management
University of California, Irvine
Johns Hopkins University
Skills you'll gain: Data Visualization, R Programming
Imperial College London
Skills you'll gain: Probability & Statistics, Statistical Analysis, Computer Programming, Deep Learning, Tensorflow
Johns Hopkins University
Skills you'll gain: Data Analysis, General Statistics, Basic Descriptive Statistics, Data Visualization, Exploratory Data Analysis, Probability & Statistics, Research and Design, Statistical Analysis, Statistical Tests
Johns Hopkins University
Skills you'll gain: R Programming, Computer Programming
Johns Hopkins University
Skills you'll gain: Computer Programming, Data Visualization
In summary, here are 10 of our most popular data analysis and statistical inference courses
- Databricks to Local LLMs:Â Duke University
- Modern Regression Analysis in R:Â University of Colorado Boulder
- Managing, Describing, and Analyzing Data:Â University of Colorado Boulder
- Introduction to Clinical Data Science:Â University of Colorado System
- AI Workflow: Machine Learning, Visual Recognition and NLP:Â IBM
- Research Instruments and Research Hypotheses:Â Queen Mary University of London
- Data Storytelling:Â University of California, Irvine
- Data Visualization in R with ggplot2:Â Johns Hopkins University
- Probabilistic Deep Learning with TensorFlow 2:Â Imperial College London
- Data – What It Is, What We Can Do With It: Johns Hopkins University