Python Data Science courses can help you learn data manipulation, statistical analysis, machine learning, and data visualization. You can build skills in programming with Python, working with libraries like Pandas and NumPy, and applying algorithms to solve real-world problems. Many courses introduce tools such as Jupyter Notebooks for interactive coding, Matplotlib for creating visualizations, and Scikit-learn for implementing machine learning models, all of which enhance your ability to analyze and interpret complex data sets.

University of Colorado Boulder
Skills you'll gain: Pandas (Python Package), NumPy, Data Structures, Data Import/Export, Data Manipulation, Data Wrangling, Data Cleansing, Statistical Methods, Python Programming, Numerical Analysis, Data Analysis, Descriptive Statistics
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Image Analysis, Model Optimization, Quality Assurance, Quality Assessment, Packaging and Labeling, Verification And Validation, Unsupervised Learning, Data Pipelines
Intermediate · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Object Oriented Programming (OOP), Object Oriented Design, Software Documentation, Technical Documentation, Maintainability, Programming Principles, Software Design, Code Reusability, Usability, Python Programming
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Data Import/Export, Data Analysis, Data Visualization, Programming Principles, Python Programming
Beginner · Guided Project · Less Than 2 Hours

Universidad Austral
Skills you'll gain: File I/O, Data Structures, Python Programming, JSON, File Management, Scripting, Scripting Languages, Data Import/Export, Computer Programming
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Object Oriented Design, Code Reusability, Mathematical Software, Programming Principles, Data Management, Statistical Analysis, Software Installation, Descriptive Statistics
Intermediate · Course · 3 - 6 Months
University of Michigan
Skills you'll gain: File I/O, Data Structures, Programming Principles, Data Manipulation, Software Installation, Python Programming, Data Processing, Development Environment
Mixed · Course · 1 - 3 Months

Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Model Optimization, Artificial Intelligence, Applied Machine Learning, Python Programming, Model Training, Machine Learning Methods, Fine-tuning, Model Evaluation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Feature Engineering, Supervised Learning, Exploratory Data Analysis, Classification Algorithms, Machine Learning Algorithms, Applied Machine Learning, Model Deployment, Decision Tree Learning, Logistic Regression, Data Analysis, Data Preprocessing, Pandas (Python Package), NumPy
Mixed · Course · 1 - 4 Weeks

Microsoft
Beginner · Course · 1 - 3 Months

Imperial College London
Skills you'll gain: Dimensionality Reduction, Linear Algebra, Regression Analysis, NumPy, Calculus, Unsupervised Learning, Applied Mathematics, Statistical Methods, Descriptive Statistics, Model Optimization, Mathematical Software, Jupyter, Statistics, Numerical Analysis, Applied Machine Learning, Geometry, Artificial Neural Networks, Data Science, Data Manipulation, Data Transformation
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Model Evaluation, Supervised Learning, Machine Learning Methods, AI Personalization, Classification Algorithms, Machine Learning, Model Training, Logistic Regression, Model Optimization, Data Analysis, Driving engagement, Persona (User Experience)
Intermediate · Course · 1 - 4 Weeks