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
Skills you'll gain: Exploratory Data Analysis, Data Manipulation, Statistical Analysis, R (Software), Analytical Skills, Ggplot2, Data Storytelling, R Programming, Statistical Methods, Data Wrangling, Data Transformation, Quantitative Research, Data Visualization Software, Data Science, Applied Machine Learning, Data Preprocessing, Probability & Statistics, Scatter Plots, Business Analytics, Data Analysis
University of Leeds
Skills you'll gain: Exploratory Data Analysis, Statistical Methods, Statistical Modeling, Statistical Software, R (Software), Probability & Statistics, Data Collection, Statistics, Data Literacy, Statistical Inference, R Programming, Statistical Programming, Probability, Data Analysis, Statistical Analysis, Probability Distribution, Simulations, Statistical Visualization, Statistical Reporting, Data Visualization Software
University of Pittsburgh
Skills you'll gain: Statistical Analysis, Statistical Methods, Statistical Modeling, Predictive Modeling, Data Analysis, Statistics, Integral Calculus, Probability & Statistics, Data Science, Probability Distribution, Calculus, Mathematics and Mathematical Modeling, Applied Mathematics, Derivatives, Probability, Mathematical Modeling, Machine Learning, Algorithms
University of Michigan
Skills you'll gain: Statistics, Correlation Analysis, Data Analysis, Statistical Programming, Descriptive Statistics, Exploratory Data Analysis, Python Programming
Skills you'll gain: Descriptive Statistics, Probability & Statistics, Statistical Hypothesis Testing, Regression Analysis, Statistics, Predictive Modeling, Statistical Programming, Statistical Analysis, Statistical Methods, Data Science, Data Analysis, Statistical Modeling, Histogram, Statistical Visualization, Pandas (Python Package), NumPy, Statistical Inference, Predictive Analytics, Probability, Model Evaluation
Skills you'll gain: Descriptive Statistics, Data Visualization, Statistical Analysis, Data Presentation, Data Analysis, Probability Distribution, Statistics, Statistical Methods, Statistical Hypothesis Testing, Data Science, Statistical Programming, Data Visualization Software, Probability & Statistics, Jupyter, Regression Analysis, Statistical Modeling, Descriptive Analytics, Statistical Inference, Correlation Analysis, Probability
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
Johns Hopkins University
Skills you'll gain: Network Analysis, R Programming, Statistical Analysis, Regression Analysis, Statistical Modeling, Statistical Methods, Combinatorics, Bayesian Network, Applied Machine Learning, Statistical Hypothesis Testing, Statistical Programming, Data Analysis, R (Software), Probability, Probability Distribution, Probability & Statistics, Bayesian Statistics, Social Network Analysis, Simulations, Statistical Software
Skills you'll gain: Exploratory Data Analysis, Data Compilation, Correlation Analysis, Data Collection, Statistical Inference, Statistics, Statistical Process Controls, Data Literacy, Statistical Software, Statistical Methods, Statistical Modeling, Predictive Modeling, Data Analysis, Statistical Hypothesis Testing, Data-Driven Decision-Making, Regression Analysis, Statistical Analysis, Analytical Skills, SAS (Software), Data Visualization
Northeastern University
Skills you'll gain: Exploratory Data Analysis, Time Series Analysis and Forecasting, Probability Distribution, Pandas (Python Package), Data Analysis, Data Wrangling, Analytics, Probability & Statistics, Unsupervised Learning, Text Mining, Data Manipulation, Computational Thinking, Statistical Methods, Data Processing, Statistical Analysis, Data Preprocessing, Data Transformation, Data Structures, Data Cleansing, Programming Principles
Johns Hopkins University
Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Probability & Statistics, Probability, Statistics, Bayesian Statistics, Statistical Methods, Statistical Modeling, Statistical Analysis, Probability Distribution, Sampling (Statistics), Sample Size Determination, Data Analysis
Skills you'll gain: Descriptive Analytics, SPSS, Logistic Regression, SPSS (Software), Regression Analysis, Analytics, Advanced Analytics, Correlation Analysis, Data Literacy, Data Analysis, Statistical Reporting, Descriptive Statistics, Statistical Modeling, Exploratory Data Analysis, Data Storytelling, Statistical Analysis, Predictive Modeling, Data Presentation, Predictive Analytics, Statistical Visualization
In summary, here are 10 of our most popular applied statistics courses
- Analyze and Apply R for Data Analytics:Â EDUCBA
- Statistical Methods:Â University of Leeds
- Statistics and Calculus Methods for Data Analysis:Â University of Pittsburgh
- Statistics with Python Using NumPy, Pandas, and SciPy:Â University of Michigan
- Statistics for Data Science with Python:Â EDUCBA
- Statistics for Data Science with Python:Â IBM
- Apply Statistical Analysis Using Minitab for Beginners:Â EDUCBA
- Statistical Methods for Computer Science:Â Johns Hopkins University
- Statistical Thinking for Industrial Problem Solving, presented by JMP:Â SAS
- Data Analytics Engineering: Probability & Techniques:Â Northeastern University
