Applied Statistics Courses
Applied statistics courses can help you learn data analysis, hypothesis testing, regression techniques, and experimental design. You can build skills in interpreting data sets, making predictions, and communicating statistical findings effectively. Many courses introduce tools like R, Python, and Excel, that support performing statistical analyses and visualizing data.
Popular Applied Statistics Courses and Certifications
University of Pittsburgh
Skills you'll gain: Retrieval-Augmented Generation, LLM Application, Tool Calling, Data Visualization, Database Design, Large Language Modeling, Database Management, Web Services, Data Ethics, Supervised Learning, Apache Spark, Bayesian Statistics, Data Visualization Software, Predictive Modeling, Linear Algebra, Model Evaluation, Model Deployment, Data Governance, Regression Analysis, Data Analysis
Status: Free TrialSkills you'll gain: Statistical Process Controls, Statistical Hypothesis Testing, Process Improvement, Lean Methodologies, Kaizen Methodology, Process Capability, Six Sigma Methodology, Risk Analysis, Quality Improvement, Process Analysis, Statistical Analysis, Statistical Methods, Risk Management, Business Process, Sample Size Determination, Data Collection, Graphing
Status: NewStatus: PreviewSkills you'll gain: SAS (Software), Statistical Modeling, Statistical Programming, Regression Analysis, Statistical Analysis, Model Evaluation, Statistical Methods, Probability Distribution, Data Manipulation
In summary, here are 3 of our most popular applied statistics courses
- Master of Data Science:Â University of Pittsburgh
- Advanced Statistical Analysis and Tools :Â SkillUp
- SAS: Apply & Evaluate Poisson & Negative Binomial Models:Â EDUCBA
