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    • Hypothesis Testing

    Hypothesis Testing Courses Online

    Study hypothesis testing for statistical analysis. Learn to formulate and test hypotheses using various statistical methods.

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    Explore the Hypothesis Testing Course Catalog

    • Status: Free Trial
      Free Trial
      U

      University of California, Santa Cruz

      Bayesian Statistics: Capstone Project

      Skills you'll gain: Bayesian Statistics, Technical Communication, Data Presentation, R Programming, Statistical Analysis, Statistical Modeling, Data Analysis, Time Series Analysis and Forecasting, Markov Model, Statistical Methods, Predictive Modeling, Sampling (Statistics), Probability Distribution

      Advanced · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Statistics For Data Science

      Skills you'll gain: Correlation Analysis, Probability & Statistics, Statistics, Statistical Analysis, Data Analysis, Data Science, Probability Distribution, Descriptive Statistics, Statistical Inference

      4
      Rating, 4 out of 5 stars
      ·
      36 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Pittsburgh

      Probability Theory and Regression for Predictive Analytics

      Skills you'll gain: Probability Distribution, Data Science, Probability & Statistics, Predictive Analytics, Probability, Statistical Modeling, Data Analysis, Regression Analysis, Statistical Analysis, Statistical Methods, Statistical Machine Learning, Bayesian Statistics, Statistical Inference, Feature Engineering, Applied Mathematics, Python Programming, Machine Learning, Algorithms

      Build toward a degree

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Naive Bayes 101: Resume Selection with Machine Learning

      Skills you'll gain: Data Visualization, Matplotlib, Plot (Graphics), Exploratory Data Analysis, Text Mining, Applied Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Pandas (Python Package), Natural Language Processing, Predictive Modeling, Machine Learning, Data Processing, Unstructured Data, Data Analysis, Machine Learning Algorithms, Data Manipulation, Python Programming, Computer Science

      4.5
      Rating, 4.5 out of 5 stars
      ·
      17 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Exploratory Data Analysis

      Skills you'll gain: Exploratory Data Analysis, Plot (Graphics), Statistical Visualization, Ggplot2, Dimensionality Reduction, Data Visualization Software, R Programming, Scatter Plots, Box Plots, Data Analysis, Histogram, Unsupervised Learning, Statistical Methods

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.1K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Data – What It Is, What We Can Do With It

      Skills you'll gain: Data Literacy, Data Visualization, Data Analysis, Research Design, Descriptive Statistics, Analytics, Analysis, Statistics, Quantitative Research, Statistical Methods, Probability & Statistics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      178 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Washington

      Practical Predictive Analytics: Models and Methods

      Skills you'll gain: Unsupervised Learning, Supervised Learning, Predictive Analytics, Statistical Modeling, R Programming, Statistical Methods, Decision Tree Learning, Statistical Inference, Statistical Analysis, Machine Learning Algorithms, Machine Learning, Graph Theory, Probability & Statistics, Network Analysis, Big Data, Sampling (Statistics), Random Forest Algorithm

      4.1
      Rating, 4.1 out of 5 stars
      ·
      322 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Introduction to Probability and Data with R

      Skills you'll gain: Sampling (Statistics), Exploratory Data Analysis, R (Software), Statistical Inference, Probability Distribution, Bayesian Statistics, R Programming, Data Analysis, Probability, Statistics, Statistical Analysis, Descriptive Statistics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      5.8K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Santa Cruz

      Bayesian Statistics

      Skills you'll gain: Time Series Analysis and Forecasting, Bayesian Statistics, R Programming, Forecasting, Statistical Inference, Statistical Modeling, Technical Communication, Data Presentation, Statistics, Probability, Statistical Analysis, Statistical Software, Advanced Analytics, R (Software), Data Analysis, Mathematical Modeling, Microsoft Excel, Markov Model, Statistical Methods, Data Science

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.5K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Preview
      Preview
      U

      University of Pennsylvania

      A Crash Course in Causality: Inferring Causal Effects from Observational Data

      Skills you'll gain: R Programming, R (Software), Statistical Analysis, Statistical Methods, Statistical Modeling, Data Analysis, Probability & Statistics, Regression Analysis, Research Design, Graph Theory

      4.7
      Rating, 4.7 out of 5 stars
      ·
      568 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Statistics for Data Science Essentials

      Skills you'll gain: Probability, Probability & Statistics, Sampling (Statistics), Probability Distribution, Statistics, Data Science, Statistical Inference, Descriptive Statistics, Statistical Analysis, General Mathematics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Foundations of Probability and Statistics

      Skills you'll gain: Probability, Statistical Inference, Markov Model, Estimation, Probability & Statistics, Probability Distribution, Statistical Methods, Statistics, Bayesian Statistics, Data Literacy, Statistical Analysis, Sampling (Statistics), Applied Mathematics, Mathematical Modeling, Data Analysis, Statistical Modeling, Data Science, Machine Learning Algorithms, Generative AI Agents, Artificial Intelligence

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      309 reviews

      Intermediate · Specialization · 3 - 6 Months

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    In summary, here are 10 of our most popular hypothesis testing courses

    • Bayesian Statistics: Capstone Project: University of California, Santa Cruz
    • Statistics For Data Science: Coursera Project Network
    • Probability Theory and Regression for Predictive Analytics: University of Pittsburgh
    • Naive Bayes 101: Resume Selection with Machine Learning: Coursera Project Network
    • Exploratory Data Analysis: Johns Hopkins University
    • Data – What It Is, What We Can Do With It: Johns Hopkins University
    • Practical Predictive Analytics: Models and Methods: University of Washington
    • Introduction to Probability and Data with R: Duke University
    • Bayesian Statistics: University of California, Santa Cruz
    • A Crash Course in Causality: Inferring Causal Effects from Observational Data: University of Pennsylvania

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