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Results for "understand common data distributions and types of variables"
- Status: Free Trial
Johns Hopkins University
Skills you'll gain: Sampling (Statistics), Bayesian Statistics, Probability & Statistics, Statistical Inference, Statistical Methods, Statistics, Probability, Probability Distribution, Statistical Analysis, Biostatistics, Statistical Hypothesis Testing
Duke University
Skills you'll gain: Bayesian Statistics, Statistical Hypothesis Testing, Statistical Modeling, Statistical Methods, Statistical Inference, Statistical Analysis, Regression Analysis, Data Analysis, R Programming, Probability, Data-Driven Decision-Making, Probability Distribution
- Status: NewStatus: Free Trial
University of Michigan
Skills you'll gain: Statistics, Data Analysis, Python Programming
- Status: Free Trial
University of California, Santa Cruz
Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Markov Model, Statistical Analysis, Regression Analysis, R Programming, Simulations, Statistical Inference, Data Analysis, Probability, Probability Distribution
- Status: Free Trial
University of Michigan
Skills you'll gain: Histogram, Data Visualization, Data Literacy, Data Presentation, Data Collection, Descriptive Statistics, Statistics, Data Analysis, Statistical Visualization, Probability & Statistics, Statistical Reporting, Sampling (Statistics), Data Validation
- Status: Free Trial
Skills you'll gain: Feature Engineering, Dimensionality Reduction, Data Integration, Exploratory Data Analysis, Data Visualization, Matlab, Data Processing, Descriptive Statistics, Data Cleansing, Data Manipulation, Histogram, Data Transformation, Text Mining, Predictive Modeling, Unstructured Data, Image Analysis, Natural Language Processing
- Status: Free Trial
Johns Hopkins University
Skills you'll gain: Precision Medicine, Clinical Trials, Data-Driven Decision-Making, Analytics, Data Science, Strategic Decision-Making, Predictive Modeling, Random Forest Algorithm, A/B Testing, Machine Learning, Online Advertising
- Status: Free Trial
University of Michigan
Skills you'll gain: Statistical Modeling, Statistical Methods, Bayesian Statistics, Statistical Inference, Statistical Analysis, Statistical Programming, Regression Analysis, Predictive Modeling, Jupyter, Exploratory Data Analysis, Statistical Hypothesis Testing, Correlation Analysis, Probability Distribution, Python Programming
- Status: Free Trial
Illinois Tech
Skills you'll gain: Bayesian Statistics, Data Analysis, Statistical Inference, Regression Analysis, Statistical Methods, Statistical Analysis, Statistical Modeling, Statistical Programming, Statistical Software, R Programming, Markov Model, Probability, Simulations, Probability Distribution
- Status: Free Trial
University of Amsterdam
Skills you'll gain: Regression Analysis, Statistical Inference, Statistics, R Programming
Coursera Project Network
Skills you'll gain: Exploratory Data Analysis, Box Plots, Correlation Analysis, Data Visualization, Scatter Plots, Data Cleansing, Data Manipulation, Pandas (Python Package), Statistical Hypothesis Testing, Descriptive Statistics, Statistical Analysis, Data Analysis, Probability & Statistics, Python Programming
- Status: Free Trial
Fred Hutchinson Cancer Center
Skills you'll gain: Bioinformatics, Molecular Biology, Data Processing, Data Analysis, Exploratory Data Analysis, Statistical Analysis, Metadata Management, R Programming, Scientific Methods, Data Quality, Command-Line Interface
In summary, here are 10 of our most popular understand common data distributions and types of variables courses
- Mathematical Biostatistics Boot Camp 1: Johns Hopkins University
- Bayesian Statistics: Duke University
- Statistics with Python Using NumPy, Pandas, and SciPy: University of Michigan
- Bayesian Statistics: Techniques and Models: University of California, Santa Cruz
- How to Describe Data: University of Michigan
- Data Processing and Feature Engineering with MATLAB: MathWorks
- Data Science Decisions in Time: Using Causal Information: Johns Hopkins University
- Fitting Statistical Models to Data with Python: University of Michigan
- Bayesian Computational Statistics: Illinois Tech
- Inferential Statistics: University of Amsterdam