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
Stanford Online
Skills you'll gain: Statistics, Statistical Inference, Probability & Statistics, Regression Analysis, Statistical Methods, Descriptive Statistics, Statistical Hypothesis Testing, Exploratory Data Analysis, Statistical Modeling, Statistical Analysis, Data Literacy, Data Analysis, Sampling (Statistics), Probability Distribution, Statistical Reporting, Probability, Statistical Visualization, Correlation Analysis
Google
Skills you'll gain: A/B Testing, Sampling (Statistics), Data Analysis, Analytics, Statistics, Descriptive Statistics, Statistical Analysis, Statistical Hypothesis Testing, Probability & Statistics, Advanced Analytics, Probability Distribution, Data Science, Statistical Inference, Statistical Programming, Statistical Methods, Probability, Python Programming
Sage Publications
Skills you'll gain: SPSS, SPSS (Software), Social Sciences, Political Sciences, Data Entry, Data Literacy, Research, Descriptive Statistics, Research Methodologies, Data Analysis, Science and Research, Statistical Analysis, Statistical Methods, Research Design, Statistical Software, Statistics, Quantitative Research, International Relations, Data Visualization, Statistical Inference
Skills you'll gain: Excel Formulas, Data Cleansing, Pivot Tables And Charts, Spreadsheet Software, Data Wrangling, Microsoft Excel, Data Analysis, Data Quality, Google Sheets, Data Manipulation, Data Integrity, Data Ethics, Data Entry, Data Import/Export, Data Science
DeepLearning.AI
Skills you'll gain: Probability & Statistics, Statistical Analysis, Statistics, Data Literacy, Data Visualization, Statistical Hypothesis Testing, Statistical Visualization, Descriptive Statistics, Data Analysis, Analytics, Statistical Methods, Histogram, Plot (Graphics), Probability, Simulations, Probability Distribution, Correlation Analysis, Statistical Inference, Estimation, Sampling (Statistics)
What brings you to Coursera today?
Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Model Evaluation, Data Cleansing, Data Preprocessing, Data Manipulation, Data Analysis, Data Processing, Model Training, Scatter Plots, Statistical Analysis, Predictive Modeling, Regression Analysis, Statistical Methods, Data Transformation, Feature Engineering, Data Import/Export, Scientific Visualization, Data Visualization, Python Programming
Rice University
Skills you'll gain: Statistical Hypothesis Testing, Microsoft Excel, Statistical Methods, Pivot Tables And Charts, Regression Analysis, Statistics, Descriptive Statistics, Probability & Statistics, Graphing, Spreadsheet Software, Probability Distribution, Business Analytics, Statistical Modeling, Statistical Analysis, Statistical Inference, Excel Formulas, Data Analysis, Presentations, Data Presentation, Sample Size Determination
Johns Hopkins University
Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Regression Analysis, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Statistical Modeling, Linear Algebra, Probability, Probability Distribution, R Programming, Biostatistics, Data Analysis, Data Science, Statistics, Mathematical Modeling, Data Modeling, Applied Mathematics
Imperial College London
Skills you'll gain: Analytical Skills, Science and Research, Sampling (Statistics), Statistical Hypothesis Testing, Data Literacy, Statistical Analysis, R (Software), Data Analysis, Statistical Software, Statistical Programming, Probability & Statistics, Statistical Methods, Data Analysis Software, R Programming, Statistics, Public Health, Statistical Inference, Descriptive Statistics, Probability Distribution
University of Amsterdam
Skills you'll gain: Statistical Hypothesis Testing, Probability & Statistics, Statistical Methods, Statistics, Statistical Analysis, Quantitative Research, Data Analysis Software
University of Michigan
Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Statistical Modeling, Statistical Methods, Statistical Inference, Statistics, Bayesian Statistics, Data Visualization, Plot (Graphics), Data Literacy, Scientific Visualization, Matplotlib, Statistical Visualization, Statistical Software, Probability & Statistics, Model Evaluation, Statistical Programming, Data-Driven Decision-Making, Statistical Analysis, Python Programming
Macquarie University
Skills you'll gain: Data Visualization, Statistical Inference, Statistical Hypothesis Testing, Data-Driven Decision-Making, Descriptive Statistics, Statistical Analysis, Statistical Methods, Sampling (Statistics), Excel Formulas, Spreadsheet Software, Box Plots, Time Series Analysis and Forecasting, Data Analysis Software, Statistical Modeling, Advanced Analytics, Financial Forecasting, Probability Distribution, Descriptive Analytics, Variance Analysis, Predictive Modeling
What brings you to Coursera today?
In summary, here are 10 of our most popular statistics for data analysis courses
- Introduction to Statistics: Stanford Online
- The Power of Statistics: Google
- Statistical Analysis in Political Science with SPSS: Sage Publications
- Excel Basics for Data Analysis: IBM
- Applied Statistics for Data Analytics: DeepLearning.AI
- Data Analysis with Python: IBM
- Business Statistics and Analysis: Rice University
- Advanced Statistics for Data Science: Johns Hopkins University
- Introduction to Statistics & Data Analysis in Public Health: Imperial College London
- Basic Statistics: University of Amsterdam
