Python for Data Science courses can help you learn data manipulation, statistical analysis, data visualization, and machine learning basics. You can build skills in working with data sets, performing exploratory data analysis, and developing predictive models. Many courses introduce tools like Pandas for data manipulation, Matplotlib and Seaborn for visualization, and Scikit-learn for machine learning, allowing you to apply your skills in practical projects and real-world data challenges.

University of Colorado Boulder
Skills you'll gain: Matplotlib, Seaborn, Plot (Graphics), Pandas (Python Package), NumPy, Data Visualization Software, Data Visualization, Data Manipulation, Statistical Visualization, Data Wrangling, Data Science, Data Processing, Package and Software Management, Python Programming, Data Structures
★ 4.6 (79) · Intermediate · Course · 1 - 4 Weeks

University of Leeds
Skills you'll gain: Jupyter, Programming Principles, Computer Programming Tools, Computer Programming, Python Programming, Software Installation, Data Structures, Data Science
★ 4.4 (30) · Beginner · Course · 1 - 4 Weeks
Duke University
Skills you'll gain: Probability, Graphing, Algebra, Bayesian Statistics, Arithmetic, Data Science, Calculus, General Mathematics
★ 4.5 (13K) · Beginner · Course · 1 - 4 Weeks

Università di Napoli Federico II
Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, NumPy, Image Analysis, Pandas (Python Package), Matplotlib, Artificial Neural Networks, Deep Learning, Computer Vision, Transfer Learning, Keras (Neural Network Library), Jupyter, Data Manipulation, Machine Learning Methods, Applied Machine Learning, Scikit Learn (Machine Learning Library)
★ 4.3 (9) · Intermediate · Course · 1 - 3 Months

Skills you'll gain: Object Oriented Programming (OOP), Statistical Machine Learning, Object Oriented Design, Machine Learning Methods, Plot (Graphics), Data Visualization, Seaborn, Flask (Web Framework), Web Development, Computer Programming, Artificial Intelligence and Machine Learning (AI/ML), Programming Principles, Web Applications, Statistical Methods, Data Analysis Software, Back-End Web Development, Pandas (Python Package), Probability & Statistics, Application Development, Data Manipulation
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Applied Machine Learning, Jupyter, Data Processing, Predictive Modeling, Machine Learning, Model Training, Data Manipulation, Data Preprocessing, Data Science, Model Evaluation, Model Optimization, Data Analysis, Python Programming
★ 4.7 (111) · Intermediate · Guided Project · Less Than 2 Hours

Duke University
Skills you'll gain: Matplotlib, Plot (Graphics), Data Visualization, Predictive Modeling, Scientific Visualization, Pandas (Python Package), Data Visualization Software, Predictive Analytics, Statistical Visualization, Scatter Plots, Data Manipulation, Data Wrangling, Regression Analysis, Data Analysis, Data Cleansing, Data Processing, Data Science, Applied Machine Learning, Machine Learning Algorithms, Model Evaluation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Box Plots, Data Science, Histogram, Statistical Analysis, Statistical Methods, Data Preprocessing, Probability & Statistics, Data Analysis, Data Visualization Software, Bayesian Statistics, Scatter Plots, Scripting, Python Programming, Machine Learning Algorithms, Data Manipulation, Statistical Inference, Regression Analysis
★ 4.7 (15) · Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Pandas (Python Package), NumPy, Data Analysis, Data Science, Python Programming, Data Structures, Exploratory Data Analysis, Data Manipulation, Computer Programming
★ 4.5 (385) · Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Statistical Visualization, Data Presentation, Data Science, Computer Programming
Beginner · Course · 1 - 3 Months

Skills you'll gain: Scatter Plots, Jupyter, Programming Principles, Histogram
Intermediate · Course · 1 - 3 Months

Duke University
Skills you'll gain: Pandas (Python Package), MLOps (Machine Learning Operations), NumPy, Unit Testing, Model Deployment, Data Manipulation, Test Script Development, Software Testing, Data Import/Export, Development Testing, Applied Machine Learning, Test Automation, Data Wrangling, Python Programming, Code Reusability, Data Processing, Debugging, Data Structures, Machine Learning, Object Oriented Programming (OOP)
★ 4.2 (357) · Intermediate · Course · 1 - 3 Months