Statistics for Data Analysis Courses
Statistics for data analysis courses can help you learn descriptive statistics, inferential statistics, hypothesis testing, and regression analysis. You can build skills in data visualization, interpreting results, and making data-driven decisions. Many courses introduce tools like R, Python, and Excel, that support performing statistical analyses and creating visual representations of data.
Popular Statistics for Data Analysis Courses and Certifications
Queen Mary University of London
Skills you'll gain: Analytics, Data Analysis, Digital Brand Strategy, Digital Analysis, Statistical Analysis, Correlation Analysis, Quantitative Research, Regression Analysis, Content Performance Analysis, Marketing Analytics, Data Quality, Probability & Statistics, Statistical Methods, Exploratory Data Analysis, Logistic Regression, Market Research, Return On Investment
Duke University
Skills you'll gain: Sampling (Statistics), Exploratory Data Analysis, R (Software), Probability & Statistics, Statistical Inference, Probability Distribution, Bayesian Statistics, R Programming, Data Analysis, Probability, Statistics, Statistical Methods, Statistical Analysis, Statistical Software, Descriptive Statistics
Macquarie University
Skills you'll gain: Pivot Tables And Charts, Interactive Data Visualization, Data Visualization, Statistical Inference, Data Visualization Software, Data Presentation, Correlation Analysis, Microsoft Excel, Data Literacy, Spreadsheet Software, Probability & Statistics, Statistics, Regression Analysis, Statistical Hypothesis Testing, Data Analysis, Excel Formulas, Statistical Analysis, Sampling (Statistics), Forecasting, Variance Analysis
University of Colorado Boulder
Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Sampling (Statistics), Statistical Methods, Statistical Software, Microsoft Excel, Excel Formulas, Probability & Statistics, Data Analysis, Regression Analysis, Statistical Inference, Probability Distribution, Data Analysis Software, Statistical Modeling, Analysis, Probability
Skills you'll gain: Data Visualization, Statistical Analysis, Predictive Modeling, Advanced Analytics, R (Software), R Programming, Statistical Methods, Data Manipulation, Business Analytics, Data Analysis, Predictive Analytics, Probability & Statistics, Analytics, Analytical Skills, Statistical Modeling, Regression Analysis, Statistical Programming, Time Series Analysis and Forecasting, Case Studies, Programming Principles
Skills you'll gain: Minitab, Data Visualization, Predictive Analytics, Statistical Visualization, Data Visualization Software, Statistical Analysis, Data-Driven Decision-Making, Descriptive Statistics, Statistical Software, Data Analysis, Data Analysis Software
Ball State University
Skills you'll gain: Statistical Methods, Probability & Statistics, Probability, Statistical Modeling, Statistical Programming, Statistical Analysis, Probability Distribution, Statistical Inference, Bayesian Statistics, Data Science, Sampling (Statistics), Statistical Hypothesis Testing, R Programming, Dimensionality Reduction, R (Software), Simulations, Statistical Visualization
Skills you'll gain: Minitab, Process Capability, Statistical Process Controls, Statistical Hypothesis Testing, Data Visualization, Descriptive Statistics, Statistical Analysis, Statistical Software, Plot (Graphics), Statistics, Sampling (Statistics), Statistical Visualization, Process Analysis, Probability & Statistics, Probability Distribution, Statistical Modeling, Data Analysis, Statistical Methods, Performance Analysis, Scatter Plots
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
University of Michigan
Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Statistical Inference, Statistics, Bayesian Statistics, Probability & Statistics, Data-Driven Decision-Making, Statistical Analysis, Sampling (Statistics), Jupyter, Analysis, Statistical Programming, Statistical Software, Python Programming
Illinois Tech
Skills you'll gain: Statistical Analysis, Data Analysis, Data Science, Statistical Programming, Statistical Methods, Statistical Machine Learning, Statistical Modeling, Applied Machine Learning, Model Evaluation, Regression Analysis, Statistics, Machine Learning Methods, Machine Learning Algorithms, Bayesian Statistics, Supervised Learning, Statistical Inference, Machine Learning, Unsupervised Learning, Predictive Modeling, Logistic Regression
S.P. Jain Institute of Management and Research
Skills you'll gain: Descriptive Statistics, Data Analysis, Analytics, Analysis, Quantitative Research, Sampling (Statistics), Probability & Statistics, Data Literacy, Data Analysis Software, Descriptive Analytics, Business Analytics, Business Mathematics, Analytical Skills, Statistical Analysis, Statistics, Business Research, Regression Analysis, Data-Driven Decision-Making, Statistical Methods, Statistical Hypothesis Testing
In summary, here are 10 of our most popular statistics for data analysis courses
- Analysis and Interpretation of Data: Queen Mary University of London
- Introduction to Probability and Data with R: Duke University
- Statistics and Data Analysis with Excel: Intermediate: Macquarie University
- Statistics and Data Analysis with Excel, Part 2: University of Colorado Boulder
- Analyze Data Using R for Statistical and Predictive Modeling: EDUCBA
- Apply Statistical Analysis Using Minitab for Beginners: EDUCBA
- Statistical Methods for Data Science: Ball State University
- Analyze and Apply Statistical Methods Using Minitab: EDUCBA
- Python and Statistics Foundations: Edureka
- Inferential Statistical Analysis with Python: University of Michigan
