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: Prompt Engineering, LLM Application, OpenAI API, OpenAI, Large Language Modeling, Agentic systems, Hugging Face, Embeddings, Application Development, Program Development, AI Workflows, Data Processing, Application Frameworks
Intermediate · Course · 3 - 6 Months

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: 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: 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: 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: Google Cloud Platform, Unstructured Data, Data Processing, Cloud API, Jupyter, Real Time Data, Python Programming
Beginner · Project · Less Than 2 Hours

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

Skills you'll gain: ChatGPT, OpenAI API, LLM Application, Prompt Engineering, Customer Service, Customer Support, Application Programming Interface (API), User Flows, Test Case, Python Programming, Development Environment, Debugging
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 Methods, Data Transformation, Seaborn, Pandas (Python Package), Matplotlib
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Google Gemini, Google Cloud Platform, Customer Analysis, Cloud Management, Applied Machine Learning, Jupyter, Cloud Applications, LLM Application, Text Mining, Machine Learning, Business Reporting, SQL
Intermediate · Project · Less Than 2 Hours

Skills you'll gain: Time Series Analysis and Forecasting, Model Evaluation, Feature Engineering, Forecasting, Data-Driven Decision-Making, Data Preprocessing, Trend Analysis, Predictive Analytics, Predictive Modeling, Statistical Analysis, Data Visualization, Exploratory Data Analysis, Data Analysis, Pandas (Python Package), Jupyter
Mixed · Course · 1 - 4 Weeks