Python for Statistics courses can help you learn data analysis, hypothesis testing, regression analysis, and probability distributions. You can build skills in data visualization, statistical modeling, and interpreting results to make informed decisions. Many courses introduce tools like Pandas for data manipulation, NumPy for numerical calculations, and Matplotlib for creating visual representations of data, all of that support applying statistical techniques effectively.

Skills you'll gain: Bayesian Statistics, Databricks, Sampling (Statistics), Statistical Modeling, Probability, Applied Machine Learning, Jupyter, Regression Analysis, Statistical Programming, Predictive Modeling, Statistical Analysis, Model Evaluation, Probability Distribution, Data Science, Logistic Regression, Markov Model, Statistics, Statistical Methods, Simulations, Python Programming
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Data Storytelling, Data Visualization, Matplotlib, Plotly, Scientific Visualization, Seaborn, Exploratory Data Analysis
Intermediate · Course · 1 - 4 Weeks

Illinois Tech
Skills you'll gain: Statistical Analysis, Data Analysis, Statistical Programming, Statistical Machine Learning, Statistical Modeling, Model Evaluation, Regression Analysis, Bayesian Statistics, Supervised Learning, Statistical Inference, Machine Learning, Unsupervised Learning, Predictive Modeling, Feature Engineering, Logistic Regression, Decision Tree Learning, Classification Algorithms
Build toward a degree
Intermediate · Course · 1 - 3 Months

University of Leeds
Skills you'll gain: Jupyter, Programming Principles, Computer Programming, Python Programming, Development Environment, Scripting, Software Installation, Data Structures, Data Science
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Scientific Visualization, Data Storytelling, Heat Maps, Data Mapping
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Box Plots, Data Science, Histogram, Statistical Analysis, Statistical Methods, Data Preprocessing, Probability & Statistics, Data Analysis, Data Visualization Software, Bayesian Statistics, Scatter Plots, Scripting, Python Programming, Machine Learning Algorithms, Data Manipulation, Statistical Inference, Regression Analysis
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Matplotlib, Statistical Modeling, Descriptive Statistics
Mixed · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Matplotlib, Data Visualization, Predictive Modeling, Pandas (Python Package), Data Visualization Software, Predictive Analytics, Regression Analysis, Data Analysis, Data Cleansing, Data Science, Machine Learning Algorithms, Statistical Inference, Statistical Modeling, Probability & Statistics, Classification Algorithms, Python Programming
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Visualization, Web Scraping, SQL, Data Visualization Software, Pandas (Python Package), NumPy, Data Analysis, Databases, Data Manipulation, Python Programming, Data Processing, Jupyter, Data Wrangling, Data Cleansing, Data Structures
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Scatter Plots, Jupyter, Programming Principles, Histogram
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Exploratory Data Analysis, Scatter Plots, Data Analysis, Correlation Analysis, Box Plots, Pandas (Python Package), Data Visualization, Histogram, Statistical Analysis, Python Programming, Software Installation
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Data Storytelling, Pandas (Python Package), Data Analysis, Data-Driven Decision-Making, Exploratory Data Analysis, Analytical Skills, Business Analysis, Data Manipulation, Data Cleansing, Python Programming, Data Import/Export, Promotional Strategies
Beginner · Guided Project · Less Than 2 Hours