Statistical Analysis Courses
Statistical analysis courses can help you learn data collection methods, hypothesis testing, regression analysis, and data visualization techniques. You can build skills in interpreting results, making predictions, and drawing conclusions from data sets. Many courses introduce tools such as R, Python, and Excel, that support performing statistical computations and creating visual representations of data.
Popular Statistical Analysis Courses and Certifications
Johns Hopkins University
Skills you'll gain: Statistical Analysis, R Programming, Statistical Programming, Data Analysis, Debugging, Simulations, Computer Programming Tools, Programming Principles, Data Manipulation, Data Structures, Performance Tuning, Data Import/Export
Skills you'll gain: Prompt Engineering, Prompt Patterns, LangChain, Large Language Modeling, Retrieval-Augmented Generation, Exploratory Data Analysis, Unsupervised Learning, Generative Model Architectures, PyTorch (Machine Learning Library), ChatGPT, Generative AI, Restful API, LLM Application, Keras (Neural Network Library), Supervised Learning, Model Evaluation, Data Analysis, Responsible AI, Vector Databases, Data Import/Export
University of Michigan
Skills you'll gain: Database Design, Data Processing, Debugging, Web Scraping, Data Visualization, Relational Databases, Web Services, Restful API, SQL, Databases, Data Visualization Software, JSON, Interactive Data Visualization, Extensible Markup Language (XML), Data Structures, Data Cleansing, Programming Principles, Data Analysis, Python Programming, Computer Programming
Status: Job SkillsSkills you'll gain: Quality Management, Project Closure, Scope Management, Team Management, Sprint Retrospectives, Project Management, Project Planning, Agile Project Management, Quality Assurance, Backlogs, Team Leadership, Project Scoping, Project Management Life Cycle, Stakeholder Analysis, Project Controls, Project Risk Management, Project Implementation, Change Management, Interviewing Skills, Applicant Tracking Systems
University of Michigan
Skills you'll gain: Pandas (Python Package), Data Manipulation, NumPy, Data Cleansing, Data Science, Statistical Analysis, Pivot Tables And Charts, Data Analysis, Python Programming, Data Import/Export, Programming Principles
Multiple educators
Skills you'll gain: Dashboard, Web Scraping, Pseudocode, Jupyter, Algorithms, Data Literacy, Data Mining, Data Analysis, R (Software), Data Presentation, Correlation Analysis, Pandas (Python Package), NumPy, Data Import/Export, Programming Principles, Predictive Modeling, Data Science, Unsupervised Learning, Machine Learning, Project Management
Status: Job ReadySkills you'll gain: Data Storytelling, Data Visualization, A/B Testing, Sampling (Statistics), Data Analysis, Exploratory Data Analysis, Regression Analysis, Data Visualization Software, Data Presentation, Data Ethics, Feature Engineering, Statistical Hypothesis Testing, Statistics, Statistical Analysis, Data Science, Tableau Software, Machine Learning, Object Oriented Programming (OOP), Interviewing Skills, Python Programming
University of California, Davis
Skills you'll gain: Presentations, Data Governance, SQL, Apache Spark, Distributed Computing, Descriptive Statistics, Data Lakes, Data Storytelling, Peer Review, Data Quality, Exploratory Data Analysis, Data Pipelines, JSON, Statistical Analysis, Data Modeling, Performance Metric, Database Design, Data Analysis, Complex Problem Solving, Data Visualization
Johns Hopkins University
Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Model Evaluation, Regression Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Machine Learning Algorithms, Plotly, Plot (Graphics), Interactive Data Visualization, Machine Learning, GitHub
Skills you'll gain: Exploratory Data Analysis, Data Manipulation, Statistical Analysis, R (Software), Analytical Skills, Ggplot2, Data Storytelling, R Programming, Statistical Methods, Quantitative Research, Data Visualization Software, Data Science, Data Preprocessing, Probability & Statistics, Scatter Plots, Business Analytics, Statistical Visualization, Correlation Analysis, Descriptive Statistics, Data Analysis
Skills you'll gain: Dashboard, Data Warehousing, Data Storytelling, SQL, Data Visualization, Database Design, Data Security, Data Migration, Data Governance, Descriptive Statistics, IBM DB2, Cloud Storage, Extract, Transform, Load, Data Management, Relational Databases, Databases, Exploratory Data Analysis, Excel Formulas, Data Architecture, Business Intelligence
Skills you'll gain: Data Analysis, Predictive Analytics, Case Studies, Statistical Visualization, Statistical Modeling
Searches related to statistical analysis
In summary, here are 10 of our most popular statistical analysis courses
- R Programming: Johns Hopkins University
- IBM Generative AI Engineering: IBM
- Python for Everybody: University of Michigan
- Google Project Management: Google
- Introduction to Data Science in Python: University of Michigan
- Data Science Foundations: IBM
- Google Advanced Data Analytics: Google
- Learn SQL Basics for Data Science: University of California, Davis
- Data Science: Johns Hopkins University
- Analyze and Apply R for Data Analytics: EDUCBA
