Statistics Courses
Statistics courses can help you learn data analysis, probability theory, hypothesis testing, and regression techniques. You can build skills in interpreting data sets, making informed predictions, and conducting surveys. Many courses introduce tools like R, Python, and Excel, that support performing statistical analyses and visualizing results. You'll also explore key topics such as descriptive statistics, inferential statistics, and experimental design, equipping you with the knowledge to tackle real-world data challenges.
Popular Statistics Courses and Certifications
University of Michigan
Skills you'll gain: Statistical Modeling, Statistical Methods, Bayesian Statistics, Statistical Inference, Statistical Software, Model Evaluation, Statistical Analysis, Statistical Programming, Statistical Machine Learning, Regression Analysis, Predictive Modeling, Jupyter, Logistic Regression, Python Programming, Data Visualization Software
University of Michigan
Skills you'll gain: Sampling (Statistics), Data Visualization, Plot (Graphics), Data Literacy, Statistics, Matplotlib, Seaborn, Probability & Statistics, Jupyter, Data Visualization Software, Data Analysis, Statistical Analysis, Exploratory Data Analysis, Descriptive Statistics, Statistical Inference, Data Collection, NumPy, Box Plots, Histogram, Python Programming
University of Illinois Urbana-Champaign
Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Business Analytics, Statistical Analysis, Analytics, Microsoft Excel, Statistical Modeling, Probability & Statistics, Statistical Methods, Predictive Analytics, Data-Driven Decision-Making, Regression Analysis
Skills you'll gain: Exploratory Data Analysis, Box Plots, Correlation Analysis, Data Visualization, Scatter Plots, Data Cleansing, Statistical Visualization, Data Manipulation, Pandas (Python Package), Statistical Hypothesis Testing, Descriptive Statistics, Statistical Analysis, Data Analysis, Python Programming
Illinois Tech
Skills you'll gain: Bayesian Statistics, Data Analysis, Statistical Inference, Regression Analysis, Statistical Methods, Statistical Analysis, Statistical Modeling, Statistical Programming, R (Software), R Programming, Markov Model, Logistic Regression, Probability, Simulations, Model Evaluation, Probability Distribution
Skills you'll gain: Descriptive Statistics, Data Analysis, Data Visualization, Descriptive Analytics, Exploratory Data Analysis, Data Presentation, Data Transformation, Statistics, Data Visualization Software, Data Storytelling, Statistical Methods, Technical Communication, Statistical Analysis, Microsoft Excel
Skills you'll gain: Matplotlib, Data Visualization, Probability & Statistics, Plotly, Statistical Analysis, Data Visualization Software, Statistical Hypothesis Testing, Seaborn, Data Science, Programming Principles, Pandas (Python Package), Statistics, Descriptive Statistics, Data Analysis, NumPy, Probability Distribution, Exploratory Data Analysis, Python Programming
University of California, Santa Cruz
Skills you'll gain: Bayesian Statistics, Technical Communication, Data Presentation, R Programming, Statistical Analysis, Statistical Modeling, Data Analysis, Time Series Analysis and Forecasting, Statistical Inference, Sampling (Statistics), Model Evaluation, Probability Distribution
Skills you'll gain: Data Analysis, Data Visualization, Machine Learning
University of California, Santa Cruz
Skills you'll gain: R Programming, Statistical Modeling, Bayesian Statistics, Statistical Software, Markov Model, Mathematical Modeling, Statistical Methods, Probability & Statistics, Unsupervised Learning, Machine Learning Methods, Probability Distribution, Classification Algorithms
Johns Hopkins University
Skills you'll gain: Data Literacy, Data Visualization, Data Analysis, Research Design, Descriptive Statistics, Analytics, Analysis, Statistics, Quantitative Research, Statistical Methods, Probability & Statistics
University of Michigan
Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Statistical Inference, Bayesian Statistics, Probability & Statistics, Statistical Analysis, Data Analysis, Sampling (Statistics), Jupyter, Python Programming, Matplotlib, NumPy
In summary, here are 10 of our most popular statistics courses
- Fitting Statistical Models to Data with Python: University of Michigan
- Understanding and Visualizing Data with Python: University of Michigan
- Inferential and Predictive Statistics for Business: University of Illinois Urbana-Champaign
- Basic Statistics in Python (Correlations and T-tests): Coursera
- Bayesian Computational Statistics: Illinois Tech
- Uncover Data's True Story: Statistics Unveiled: Coursera
- Python and Statistics Foundations: Edureka
- Bayesian Statistics: Capstone Project: University of California, Santa Cruz
- Analyze Business Data Using Statistics Foundations: EDUCBA
- Bayesian Statistics: Mixture Models: University of California, Santa Cruz
