Statistical Inference Courses
Statistical inference courses can help you learn hypothesis testing, confidence intervals, regression analysis, and data interpretation. You can build skills in analyzing sample data, making predictions, and drawing conclusions about larger populations. Many courses introduce tools like R and Python for statistical programming, as well as software for data visualization, which enhance your ability to apply statistical methods effectively.
Popular Statistical Inference Courses and Certifications
Skills you'll gain: Exploratory Data Analysis, Logistic Regression, Supervised Learning, Applied Machine Learning, Model Evaluation, Data Modeling
University of Colorado Boulder
Skills you'll gain: Statistical Modeling, Data Science, Statistical Methods, Statistical Analysis, Model Evaluation, Regression Analysis, Predictive Modeling, R Programming, Machine Learning, Classification Algorithms, Supervised Learning, Unsupervised Learning, Machine Learning Algorithms
Skills you'll gain: Bayesian Statistics, Databricks, Sampling (Statistics), Statistical Modeling, Probability, Applied Machine Learning, Jupyter, Regression Analysis, Statistical Programming, Predictive Modeling, Statistical Analysis, Model Evaluation, Probability Distribution, Data Science, Logistic Regression, Markov Model, Statistics, Statistical Methods, Simulations, Python Programming
Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Correlation Analysis, SAS (Software), Regression Analysis, Statistical Methods, Probability & Statistics, Statistical Modeling, Plot (Graphics), Statistical Inference
Johns Hopkins University
Skills you'll gain: Data Quality, Data Management, Technical Communication, Data Analysis, Data-Driven Decision-Making, Statistical Analysis, Data Science, Statistical Machine Learning, Statistical Inference, Statistics, A/B Testing, Statistical Modeling
University of Michigan
Illinois Tech
Skills you'll gain: Statistical Inference, Regression Analysis, R Programming, Statistical Analysis, Statistical Modeling, R (Software), Data Science, Logistic Regression, Data Analysis, Probability & Statistics, Linear Algebra
University of Michigan
Skills you'll gain: Statistical Modeling, Statistics, Regression Analysis, Statistical Methods, Statistical Inference, Probability & Statistics, Correlation Analysis, Data Analysis, Statistical Analysis, Statistical Hypothesis Testing
Johns Hopkins University
Skills you'll gain: Shiny (R Package), Rmarkdown, Model Evaluation, Regression Analysis, Exploratory Data Analysis, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Machine Learning Algorithms, Plotly, Interactive Data Visualization, Probability & Statistics, Statistical Machine Learning, Data Presentation, Data Visualization, Statistical Analysis, Statistical Modeling, R Programming, Machine Learning, GitHub
Duke University
Skills you'll gain: Bayesian Statistics, Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Exploratory Data Analysis, Peer Review, Regression Analysis, R (Software), Statistical Reporting, Probability Distribution, Statistical Analysis, Statistics, Data Analysis Software, Data Analysis, Probability & Statistics, Probability, R Programming, Statistical Modeling, Statistical Methods, Data Visualization
Skills you'll gain: Statistical Inference, Regression Analysis, Logistic Regression, R Programming, Statistical Analysis, Statistical Modeling, R (Software), Predictive Modeling, Model Evaluation, Statistical Hypothesis Testing, Probability Distribution, Probability
Universiteit Leiden
Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Regression Analysis, R Programming, Data Analysis, Descriptive Statistics, Statistical Methods, Probability & Statistics, Data Ethics, Data Collection, Exploratory Data Analysis, Statistical Reporting, Logistic Regression, Statistical Modeling, Data Cleansing
In summary, here are 10 of our most popular statistical inference courses
- Statistics You Need to Know for Machine Learning:Â SAS
- Regression and Classification:Â University of Colorado Boulder
- Introduction to Computational Statistics for Data Scientists:Â Databricks
- Introduction to Statistical Analysis: Hypothesis Testing:Â SAS
- Data Science in Real Life:Â Johns Hopkins University
- Logistic Regression and Prediction for Health Data:Â University of Michigan
- Linear Regression:Â Illinois Tech
- Linear Regression Modeling for Health Data:Â University of Michigan
- Data Science: Statistics and Machine Learning:Â Johns Hopkins University
- Data Analysis with R:Â Duke University
