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
The Hong Kong University of Science and Technology
Skills you'll gain: Statistical Inference, Portfolio Risk, Statistical Methods, Pandas (Python Package), Statistical Hypothesis Testing, Probability & Statistics, Risk Analysis, Financial Trading, Financial Data, Data Manipulation, Statistical Analysis, Feature Engineering, Regression Analysis, Financial Analysis, Jupyter, Financial Market, Market Data, Predictive Modeling, Python Programming, Data Visualization
University of London
Skills you'll gain: Sampling (Statistics), Descriptive Statistics, Data Presentation, Statistics, Statistical Methods, Estimation, Probability, Data-Driven Decision-Making, Data Collection, Probability & Statistics, Statistical Inference, Statistical Hypothesis Testing, Probability Distribution, Decision Making, Data Analysis, Statistical Visualization, Graphing
American Psychological Association
Skills you'll gain: Descriptive Statistics, Data Literacy, Graphing, Statistical Visualization, Statistical Hypothesis Testing, Probability & Statistics, Statistical Inference, Quantitative Research, Statistics, Statistical Analysis, Statistical Methods, Descriptive Analytics, Sample Size Determination, Data Analysis, Sampling (Statistics), Exploratory Data Analysis, Science and Research, Psychology, Bayesian Statistics, Research Design
Skills you'll gain: Plot (Graphics), Matplotlib, Data Visualization, Probability & Statistics, Plotly, Statistical Analysis, Statistical Methods, Data Visualization Software, Statistical Hypothesis Testing, Seaborn, Data Science, Programming Principles, Pandas (Python Package), Statistics, Descriptive Statistics, Data Analysis, NumPy, Probability, Python Programming
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 & Statistics, Probability Distribution, Statistical Analysis, Statistical Methods, Statistics, Statistical Programming, Statistical Software, Data Analysis, R Programming, Statistical Modeling, Data Visualization
Johns Hopkins University
Skills you'll gain: Biostatistics, Bioinformatics, Exploratory Data Analysis, Statistical Analysis, Statistical Methods, Statistical Hypothesis Testing, Statistical Modeling, Statistics, R Programming, Probability & Statistics, Data Preprocessing, Data Analysis, Statistical Inference, Regression Analysis, Data Pipelines, Data Transformation, Data Processing, Logistic Regression
Rice University
Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Regression Analysis, Statistical Analysis, Statistical Modeling, Statistical Inference, Business Analytics, Microsoft Excel, Model Evaluation, Estimation, Data Analysis, Analytics, Data Transformation
Rice University
Skills you'll gain: Business Analytics, Statistical Analysis, Data Analysis, Presentations, Data Presentation, Statistics, Statistical Reporting, Data Literacy, Analytical Skills, Analysis, Technical Communication, Predictive Analytics, Exploratory Data Analysis, Regression Analysis, Descriptive Statistics, Microsoft Excel
Skills you'll gain: Descriptive Statistics, Data Analysis, Exploratory Data Analysis, Quantitative Research, R Programming, Statistical Analysis, Histogram, R (Software), Statistical Methods, Statistical Programming, Probability & Statistics, Descriptive Analytics, Statistics, Statistical Software, Data Science
University of Pennsylvania
Skills you'll gain: Probability, Probability & Statistics, Sampling (Statistics), Probability Distribution, Statistics, Data Science, Statistical Inference, Statistical Methods, Descriptive Statistics, Statistical Analysis, General Mathematics, Algebra
Skills you'll gain: Regression Analysis, Microsoft Excel, Statistical Hypothesis Testing, Data-Driven Decision-Making, Data Visualization, Business Analysis, Statistical Analysis, Statistical Methods, Spreadsheet Software, Data Analysis, Correlation Analysis, Case Studies, Statistical Modeling, Statistical Inference, Probability & Statistics, Variance Analysis, Data Manipulation
University of London
Skills you'll gain: Pandas (Python Package), NumPy, Probability & Statistics, Unsupervised Learning, Applied Machine Learning, Statistical Methods, Data Science, Statistics, Data Analysis, Statistical Analysis, Jupyter, Data Manipulation, Machine Learning Algorithms, Descriptive Statistics, Plot (Graphics), Data Processing, Data Visualization Software, Python Programming, Machine Learning
In summary, here are 10 of our most popular inferential statistics courses
- Python and Statistics for Financial Analysis:Â The Hong Kong University of Science and Technology
- Statistics for International Business:Â University of London
- Statistics in Psychological Research:Â American Psychological Association
- Python and Statistics Foundations:Â Edureka
- Data Analysis with R:Â Duke University
- Statistics for Genomic Data Science:Â Johns Hopkins University
- Linear Regression for Business Statistics:Â Rice University
- Business Statistics and Analysis Capstone:Â Rice University
- Calculating Descriptive Statistics in R:Â Coursera
- Statistics for Data Science Essentials:Â University of Pennsylvania
