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: Forecasting, Data Preprocessing, Predictive Modeling, Model Evaluation, Data Manipulation, Anomaly Detection, Exploratory Data Analysis
Intermediate · Course · 1 - 4 Weeks

Imperial College London
Skills you'll gain: Creative Thinking, Brainstorming, Ideation, Creativity, Cognitive flexibility, Problem Solving, Collaboration
Beginner · Course · 1 - 3 Months

Coursera
Skills you'll gain: SQL, Query Languages, Data Access, Relational Databases, Data Manipulation
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Debugging, Data Validation, Business Logic, Programming Principles, Verification And Validation
Intermediate · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Recurrent Neural Networks (RNNs), Vision Transformer (ViT), PyTorch (Machine Learning Library), Keras (Neural Network Library), Large Language Modeling, Natural Language Processing, Embeddings, AI Personalization, Network Model, Network Architecture, Linear Algebra
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Keras (Neural Network Library), Tensorflow, Artificial Neural Networks, Deep Learning, Data Preprocessing, Model Evaluation, Customer Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Development Environment, Predictive Analytics, Pandas (Python Package), Data Cleansing
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Web Scraping, Data Visualization, Data Preprocessing, Data Cleansing, Exploratory Data Analysis, Scripting, Data Analysis, Data Manipulation, Data Import/Export, Extensible Markup Language (XML), Python Programming, Jupyter, GitHub
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Data Integration, Data Import/Export, NumPy, Data Manipulation, Data Preprocessing, Pandas (Python Package), Data Pipelines, Data Transformation, Extract, Transform, Load, Data Cleansing
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Video Game Development, Python Programming, Debugging, Development Testing, Animation and Game Design, Software Testing, Programming Principles, Event-Driven Programming, User Interface (UI), Development Environment
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Scikit Learn (Machine Learning Library), Tensorflow, Classification Algorithms, Supervised Learning, Applied Machine Learning, Python Programming, Feature Engineering, Data Preprocessing, Data Science, Machine Learning, Model Evaluation, Data Manipulation, Data Visualization
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Model Evaluation, Feature Engineering, Exploratory Data Analysis, Data Preprocessing, Predictive Modeling, Predictive Analytics, Regression Analysis, Supervised Learning, Data Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Data Cleansing, Statistical Modeling, Data Transformation, Correlation Analysis, Seaborn, Pandas (Python Package), Matplotlib
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Databases, Data Validation
Intermediate · Course · 3 - 6 Months