Inferential Statistics Courses
Inferential statistics courses can help you learn hypothesis testing, confidence intervals, regression analysis, and sampling methods. You can build skills in interpreting data, making predictions, and drawing conclusions from sample data. Many courses introduce tools like R and Python for statistical analysis, along with software such as SPSS and Excel, that support applying these statistical techniques to real-world data sets.
Popular Inferential Statistics Courses and Certifications
Status: Free TrialDuke University
Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Statistical Reporting, R (Software), Statistical Methods, Statistics, R Programming, Statistical Analysis, Probability & Statistics, Data Analysis, Sampling (Statistics), Probability Distribution, Software Installation
Status: Free TrialUniversity of Amsterdam
Skills you'll gain: Regression Analysis, Statistical Inference, Statistics, Logistic Regression, R Programming
Status: Free TrialUniversity of Michigan
Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Statistical Modeling, Statistical Methods, Statistical Inference, Bayesian Statistics, Data Visualization, Plot (Graphics), Data Literacy, Statistics, Matplotlib, Statistical Software, Probability & Statistics, Model Evaluation, Seaborn, Statistical Analysis, Jupyter, Statistical Programming, Statistical Machine Learning, Python Programming
Status: Free TrialSkills you'll gain: Bayesian Statistics, Descriptive Statistics, Statistical Hypothesis Testing, Statistical Inference, Sampling (Statistics), Data Modeling, Statistics, Probability & Statistics, Statistical Analysis, Statistical Methods, Statistical Modeling, Marketing Analytics, Tableau Software, Data Analysis, Spreadsheet Software, Analytics, Time Series Analysis and Forecasting, Regression Analysis
Status: Free TrialUniversity of California, Santa Cruz
Skills you'll gain: Bayesian Statistics, Time Series Analysis and Forecasting, Statistical Inference, Statistical Methods, R Programming, Forecasting, Probability & Statistics, Statistical Modeling, Technical Communication, Data Presentation, Probability, Statistics, Statistical Software, Probability Distribution, Statistical Analysis, Data Analysis, Markov Model, Model Evaluation, R (Software), Data Science
Status: Free TrialGoogle
Skills you'll gain: Sampling (Statistics), Statistical Hypothesis Testing, Descriptive Statistics, Advanced Analytics, Data Analysis, Probability Distribution, Statistics, Probability, A/B Testing, Statistical Analysis, Data Science, Statistical Inference, Statistical Programming, Jupyter, Python Programming, Technical Communication
What brings you to Coursera today?
Status: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Statistical Hypothesis Testing, Descriptive Statistics, Statistical Visualization, Data Transformation, Data Cleansing, Statistical Analysis, Regression Analysis, Probability, Probability Distribution, Sampling (Statistics), Box Plots, Histogram, R Programming, Statistical Methods, Scatter Plots, Microsoft Excel, Probability & Statistics, Statistics, Data Import/Export, Data Analysis
Status: NewStatus: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Probability, Statistical Inference, Estimation, Probability & Statistics, Probability Distribution, Statistical Methods, Statistics, Markov Model, Bayesian Statistics, Data Literacy, Statistical Analysis, Sampling (Statistics), Applied Mathematics, Artificial Intelligence, Generative AI, Data Analysis, Data Science, Theoretical Computer Science, Machine Learning Algorithms, Mathematical Theory & Analysis
Status: PreviewStanford University
Skills you'll gain: Descriptive Statistics, Statistics, Statistical Methods, Sampling (Statistics), Statistical Analysis, Data Analysis, Statistical Modeling, Statistical Hypothesis Testing, Regression Analysis, Statistical Inference, Probability, Exploratory Data Analysis, Quantitative Research, Probability Distribution
Status: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Model Evaluation, Statistical Modeling, Applied Machine Learning, Unsupervised Learning, Statistical Machine Learning, Classification And Regression Tree (CART), Data Science, Decision Tree Learning, Statistical Methods, Artificial Neural Networks, Statistical Analysis, Regression Analysis, Predictive Modeling, Classification Algorithms, Supervised Learning, R Programming, Machine Learning Algorithms, Dimensionality Reduction, Machine Learning, Random Forest Algorithm
Status: Free TrialSkills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Logistic Regression, Model Evaluation, Statistical Modeling, Predictive Modeling, Statistical Analysis, Analytics, Advanced Analytics, Data Analysis, Correlation Analysis, Data Modeling, Business Analytics, Machine Learning, Exploratory Data Analysis, Variance Analysis, Python Programming
Status: Free TrialDeepLearning.AI
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Probability, Statistical Inference, A/B Testing, Statistical Analysis, Statistical Machine Learning, Data Science, Statistical Modeling, Exploratory Data Analysis, Statistical Visualization
What brings you to Coursera today?
Searches related to inferential statistics
In summary, here are 10 of our most popular inferential statistics courses
- Inferential Statistics: Duke University
- Inferential Statistics: University of Amsterdam
- Statistics with Python: University of Michigan
- Statistics Foundations: Meta
- Bayesian Statistics: University of California, Santa Cruz
- The Power of Statistics: Google
- Statistics and Applied Data Analysis: University of Colorado Boulder
- Foundations of Probability and Statistics: University of Colorado Boulder
- Introduction to Statistics: Stanford University
- Statistical Learning for Data Science: University of Colorado Boulder
