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.

Universidad Nacional Autónoma de México
Skills you'll gain: Exploratory Data Analysis, Pandas (Python Package), Extract, Transform, Load, Data Analysis, NumPy, Package and Software Management, Time Series Analysis and Forecasting, Data Visualization Software, Data Science, Python Programming, Jupyter, Graphing, Matplotlib, Data Import/Export, Data Manipulation, Software Installation, Ubuntu, Scripting, Computational Thinking, Mac OS
Beginner · Specialization · 3 - 6 Months

Duke University
Skills you'll gain: Matplotlib, Pandas (Python Package), NumPy, Data Visualization, Data Cleansing, Data Structures, Data Visualization Software, Predictive Analytics, Debugging, Object Oriented Programming (OOP), Data Manipulation, Regression Analysis, Python Programming, Data Science, Algorithms, Simulations, Data Preprocessing, Exploratory Data Analysis, Predictive Modeling, Data Analysis
Beginner · Specialization · 3 - 6 Months

Fractal Analytics
Skills you'll gain: Feature Engineering, Data Wrangling, Exploratory Data Analysis, Matplotlib, Statistical Analysis, Data Preprocessing, Seaborn, Data Science, Data Visualization Software, Data Manipulation, Data Cleansing, Data Analysis, Pandas (Python Package), Statistics, Business Analytics, Jupyter, Data Transformation, Descriptive Statistics, Correlation Analysis, Statistical Hypothesis Testing
Beginner · Course · 1 - 3 Months

Skills you'll gain: Dashboard, Web Scraping, Data Analysis, Data Presentation, Data Visualization, Analytical Skills, Data Visualization Software, Graphing, Pandas (Python Package), Data Science, Data Wrangling, Jupyter, Python Programming, Data Collection
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Descriptive Statistics, Data Visualization, Statistical Analysis, Data Analysis, Probability Distribution, Statistics, Statistical Hypothesis Testing, Data Science, Statistical Programming, Data Visualization Software, Probability & Statistics, Jupyter, Regression Analysis, Correlation Analysis, Matplotlib, Pandas (Python Package)
Mixed · Course · 1 - 3 Months

Skills you'll gain: Object Oriented Programming (OOP), Matplotlib, Data Visualization, Seaborn, NumPy, Python Programming, Scatter Plots, Pandas (Python Package), Data Analysis, Box Plots, JSON, File Management, Debugging, Data Manipulation
Intermediate · Course · 1 - 4 Weeks
University of Michigan
Skills you'll gain: Feature Engineering, Model Evaluation, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Decision Tree Learning, Unsupervised Learning, Python Programming, Random Forest Algorithm, Regression Analysis, Classification Algorithms, Artificial Neural Networks
Intermediate · Course · 1 - 4 Weeks

Logical Operations
Skills you'll gain: NumPy, Data Transformation, Data Manipulation, Data Cleansing, Jupyter, Data Processing, Data Analysis, Data Science, Data Import/Export, Python Programming, Virtual Machines, Computer Programming, Computer Programming Tools, Software Development
Mixed · Course · 1 - 4 Weeks

Logical Operations
Skills you'll gain: Data Cleansing, Data Preprocessing, Unit Testing, Package and Software Management, Python Programming, Data Science, Computer Programming, Debugging, Scripting, Software Development, Machine Learning, Database Application, Object Oriented Programming (OOP), Regression Analysis, Programming Principles, Scripting Languages, Databases, Object Oriented Design, Relational Databases, User Interface (UI) Design
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Trend Analysis, Data-Driven Decision-Making, Statistical Analysis, Financial Modeling, Python Programming
Beginner · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: Data Mining, Unsupervised Learning, Data Science, Anomaly Detection, Python Programming, Classification Algorithms
Advanced · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: NumPy, Debugging, Pandas (Python Package), Statistics, Data Analysis, Statistical Programming, Descriptive Statistics, Exploratory Data Analysis, Data Preprocessing, Data-oriented programming, Program Development, Numerical Analysis, Critical Thinking
Intermediate · Specialization · 3 - 6 Months