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.

Skills you'll gain: Web Scraping, Data Transformation, Extract, Transform, Load, Data Manipulation, SQL, Integrated Development Environments, Data Processing, Databases, Application Programming Interface (API), Code Review, Restful API, Python Programming, Unit Testing, Style Guides
Intermediate · Course · 1 - 4 Weeks

University of California San Diego
Skills you'll gain: Supervised Learning, Feature Engineering, Predictive Modeling, Data Processing, Data Manipulation, Predictive Analytics, Data Visualization, Interactive Data Visualization, Design Thinking, Applied Machine Learning, Web Scraping, Machine Learning Algorithms, Flask (Web Framework), Data Visualization Software, Scikit Learn (Machine Learning Library), Application Deployment, Data Validation, Verification And Validation, Machine Learning, Python Programming
Intermediate · Specialization · 3 - 6 Months

Fractal Analytics
Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Data Visualization, Statistical Analysis, Probability & Statistics, Statistics, Pandas (Python Package), Data Analysis, Jupyter, Data Processing, Data Manipulation, Data Science, Data Transformation, Applied Machine Learning, Data Cleansing, Python Programming
Beginner · Course · 1 - 3 Months

Rice University
Skills you'll gain: Data Processing, Data Manipulation, Data Structures, Scripting, Data Import/Export, Data Analysis, Python Programming, Data Storage
Beginner · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Pandas (Python Package), Version Control, Git (Version Control System), Data Manipulation, Development Environment, Data Structures, Python Programming, Data Analysis Software, NumPy, Integrated Development Environments, Virtual Environment
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: NumPy, Pandas (Python Package), Data Manipulation, Scatter Plots, Jupyter, Data Visualization Software, Machine Learning, Data Science, Data Import/Export, Classification And Regression Tree (CART), Linear Algebra, Probability Distribution, Regression Analysis
Beginner · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Matplotlib, Seaborn, Plot (Graphics), Pandas (Python Package), NumPy, Data Visualization Software, Data Visualization, Data Manipulation, Data Science, Histogram, Package and Software Management, Data Import/Export, Python Programming
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Pandas (Python Package), Data Analysis, Exploratory Data Analysis, Data Modeling, Data Manipulation, Jupyter, Matplotlib, Data Visualization, Programming Principles, Data Cleansing, Data Visualization Software, Python Programming, Scripting, Scripting Languages
Beginner · Course · 1 - 3 Months

Duke University
Skills you'll gain: Pandas (Python Package), Data Cleansing, Data Manipulation, NumPy, Query Languages, Data Integration, Python Programming, Data Import/Export, Data Analysis, Debugging
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Generative AI, Matplotlib, Plotly, Data Ethics, Data Visualization, Data Cleansing, Data Manipulation, Exploratory Data Analysis, Pandas (Python Package), Data Transformation, Interactive Data Visualization, Data Visualization Software, Data Storytelling, Data Analysis, Scikit Learn (Machine Learning Library), Jupyter, Python Programming, Machine Learning
Beginner · Course · 1 - 3 Months

Skills you'll gain: A/B Testing, Pandas (Python Package), Matplotlib, Plotly, Data Visualization, Statistical Methods, GitHub, Data Manipulation, Statistical Hypothesis Testing, Version Control, Statistical Analysis, Data Science, Interactive Data Visualization, Python Programming, NumPy, Data Analysis, Git (Version Control System), Jupyter, Data Transformation, Programming Principles
Beginner · Course · 1 - 3 Months

University of Michigan
Skills you'll gain: Unsupervised Learning, Anomaly Detection, Supervised Learning, Python Programming, Exploratory Data Analysis
Advanced · Course · 1 - 4 Weeks