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Results for "sampling (statistics)"
Status: Free TrialUniversity of London
Skills you'll gain: Pandas (Python Package), NumPy, Probability & Statistics, Unsupervised Learning, Data Science, Statistics, Data Analysis, Statistical Analysis, Jupyter, Data Manipulation, Machine Learning Algorithms, Descriptive Statistics, Matplotlib, Data Visualization Software, Python Programming
Status: Free TrialSkills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Sample Size Determination, Statistical Inference, Estimation, Statistics, Probability & Statistics, Sampling (Statistics), Statistical Analysis, Microsoft Excel, Excel Formulas, Data Analysis, Decision Making
Status: Free TrialJohns Hopkins University
Skills you'll gain: Statistical Hypothesis Testing, Biostatistics, Sampling (Statistics), Statistical Inference, Scientific Methods, Quantitative Research, Public Health
Status: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Data Ethics, Probability & Statistics, Statistical Inference, Statistical Analysis, Quantitative Research, Statistics, Probability Distribution
Status: Free TrialIllinois Tech
Skills you'll gain: Statistical Analysis, Data Analysis, Statistical Programming, Statistical Methods, Statistical Machine Learning, Regression Analysis, Supervised Learning, Statistical Inference, Machine Learning, Unsupervised Learning, Predictive Modeling, Classification And Regression Tree (CART), Feature Engineering, Dimensionality Reduction
Status: Free TrialUniversity of Michigan
Skills you'll gain: Surveys, Interviewing Skills, Data Collection, Sampling (Statistics), Unstructured Data, Research Methodologies, Qualitative Research, Data Validation, Data Quality, Text Mining
Status: PreviewNortheastern University
Skills you'll gain: Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Analysis, Data Wrangling, Probability & Statistics, Unsupervised Learning, Data Science, Text Mining, Data Manipulation, Statistical Analysis, Data Structures, Data Cleansing, Programming Principles, Data Visualization Software, Python Programming
Status: Free TrialUniversity of Maryland, College Park
Skills you'll gain: Surveys, Data Collection, Research Design, Data Quality, Data Analysis, Data Validation, Sampling (Statistics), Big Data, Statistical Methods
Status: Free TrialArizona State University
Skills you'll gain: Statistical Analysis, Regression Analysis, Statistical Modeling, Statistical Methods, Data Transformation, Probability Distribution
Status: Free TrialUniversity of Michigan
Skills you'll gain: Statistical Modeling, Statistical Methods, Bayesian Statistics, Statistical Inference, Statistical Software, Statistical Programming, Regression Analysis, Predictive Modeling, Jupyter, Exploratory Data Analysis, Correlation Analysis, Probability Distribution, Python Programming, Data Visualization Software
Status: PreviewMcMaster University
Skills you'll gain: Experimentation, Data Visualization, Predictive Modeling, Pareto Chart, Process Improvement and Optimization, Process Optimization, Statistical Methods, Performance Tuning, Mathematical Modeling, R Programming, Data Analysis, Statistical Analysis, R (Software), Case Studies
Status: Free TrialDuke University
Skills you'll gain: Web Scraping, Data Wrangling, Tidyverse (R Package), Data Manipulation, Data Import/Export, Data Cleansing, R Programming, Data Transformation, Statistical Programming, Exploratory Data Analysis, Data Ethics
In summary, here are 10 of our most popular sampling (statistics) courses
- Statistics and Clustering in Python:Â University of London
- Business Applications of Hypothesis Testing and Confidence Interval Estimation :Â Rice University
- Hypothesis Testing in Public Health :Â Johns Hopkins University
- Statistical Inference and Hypothesis Testing in Data Science Applications:Â University of Colorado Boulder
- Statistical Learning:Â Illinois Tech
- Data Collection: Online, Telephone and Face-to-face:Â University of Michigan
- Data Analytics Engineering: Probability & Techniques:Â Northeastern University
- Framework for Data Collection and Analysis:Â University of Maryland, College Park
- Random Models, Nested and Split-plot Designs:Â Arizona State University
- Fitting Statistical Models to Data with Python:Â University of Michigan
