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: Pandas (Python Package), Data Analysis, Analytics, Exploratory Data Analysis, Data Manipulation, Jupyter, Data Processing, Data Wrangling, Matplotlib, Data Visualization, Programming Principles, Data Cleansing, Data Visualization Software, Python Programming
★ 4.3 (248) · Beginner · Course · 1 - 3 Months

Skills you'll gain: Plot (Graphics), Matplotlib, Data Visualization, Probability & Statistics, Plotly, Statistical Analysis, Statistical Methods, Data Visualization Software, Statistical Hypothesis Testing, Seaborn, Data Science, Programming Principles, Pandas (Python Package), Statistics, Descriptive Statistics, Data Analysis, NumPy, Probability, Python Programming
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Descriptive Statistics, Probability & Statistics, Statistical Hypothesis Testing, Regression Analysis, Statistics, Predictive Modeling, Statistical Programming, Statistical Analysis, Statistical Methods, Data Science, Data Analysis, Statistical Modeling, Histogram, Statistical Visualization, Pandas (Python Package), NumPy, Statistical Inference, Predictive Analytics, Probability, Model Evaluation
★ 4.4 (7) · Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Data Storytelling, Data Visualization, Data Presentation, Matplotlib, Plotly, Seaborn, Plot (Graphics), Exploratory Data Analysis, Dashboard Creation
Intermediate · Course · 1 - 4 Weeks

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

University of Michigan
Skills you'll gain: Sampling (Statistics), Data Visualization, Plot (Graphics), Data Literacy, Statistics, Scientific Visualization, Matplotlib, Statistical Visualization, Probability & Statistics, Jupyter, Statistical Methods, Data Analysis, Statistical Analysis, Exploratory Data Analysis, Descriptive Statistics, Statistical Inference, NumPy, Data Dictionary, Box Plots, Python Programming
★ 4.7 (2.7K) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Matplotlib, Linear Algebra, Plot (Graphics), Data Visualization, NumPy, Scientific Visualization, Machine Learning Algorithms, Statistical Visualization, Pandas (Python Package), Applied Machine Learning, Data Science, Machine Learning, Data Analysis, Python Programming, Model Optimization, Data Manipulation, Classification Algorithms, Programming Principles, Regression Analysis, Data Structures
Beginner · Course · 1 - 3 Months

Skills you'll gain: Predictive Modeling, Matplotlib, Machine Learning Methods, Applied Machine Learning, Seaborn, Statistical Modeling, Data Visualization, Plot (Graphics), Regression Analysis, Machine Learning Algorithms, Pandas (Python Package), Statistical Analysis, Machine Learning, Supervised Learning, Data Science, Statistical Methods, Probability & Statistics, Python Programming, Model Training, Statistical Programming
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Debugging, Automation, Python Programming, Data Structures, Programming Principles, IT Automation, Scripting, Data Manipulation, File Management, Data Validation, Package and Software Management, Software Installation
★ 4.1 (9) · Beginner · Course · 3 - 6 Months

Skills you'll gain: Object Oriented Programming (OOP), Matplotlib, Plot (Graphics), Seaborn, File I/O, Data Visualization Software, NumPy, Python Programming, Code Reusability, Pandas (Python Package), Data Analysis, Program Development, Data Import/Export, Data Processing, JSON, Package and Software Management, Data Manipulation
Intermediate · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: NumPy, Data Structures, Data Analysis, Object Oriented Programming (OOP), Image Analysis, Data Processing, Data Science, Programming Principles, Text Mining, File I/O, Computer Programming, Data Dictionary, Data Manipulation, Performance Tuning, Python Programming, Probability Distribution
★ 4.1 (23) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Box Plots, Data Science, Histogram, Data Presentation, Statistical Analysis, Statistical Methods, Statistical Visualization, Data Preprocessing, Descriptive Statistics, Probability & Statistics, Data Analysis, Data Visualization Software, Data-Driven Decision-Making, Bayesian Statistics, Applied Machine Learning, Scatter Plots, Scripting, Python Programming, Data Processing, Machine Learning Algorithms
★ 4.7 (16) · Mixed · Course · 1 - 4 Weeks