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: Object Oriented Programming (OOP), Data Visualization, Seaborn, Flask (Web Framework), Programming Principles, Web Applications, Statistical Methods, Data Analysis Software, Pandas (Python Package), Probability & Statistics, Data Manipulation, Data Structures, UI Components
Intermediate · Course · 1 - 3 Months

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

Skills you'll gain: Data Visualization, Data Structures
Beginner · Course · 1 - 3 Months

Skills you'll gain: Object Oriented Programming (OOP), Matplotlib, Data Visualization, Seaborn, NumPy, Python Programming, Scatter Plots, Pandas (Python Package), Data Analysis, Box Plots, JSON, File Management, Debugging, Data Manipulation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Predictive Modeling, Matplotlib, Applied Machine Learning, Seaborn, Data Visualization, Regression Analysis, Pandas (Python Package), Statistical Machine Learning, Statistical Analysis, Machine Learning, Supervised Learning, Data Science, Scikit Learn (Machine Learning Library), Probability & Statistics, Python Programming, Unsupervised Learning, Data Analysis, Decision Tree Learning, NumPy, Data Manipulation
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Matplotlib, Linear Algebra, Data Visualization, NumPy, Machine Learning Algorithms, Pandas (Python Package), Seaborn, Data Science, Machine Learning, Data Analysis, Supervised Learning, Python Programming, Jupyter, Data Manipulation, Classification Algorithms, Regression Analysis, Data Structures, Software Installation
Beginner · Course · 1 - 3 Months

Skills you'll gain: Data Storytelling, Data Visualization, Matplotlib, Plotly, Scientific Visualization, Seaborn, Exploratory Data Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Data Manipulation, Python Programming, Probability & Statistics, Applied Machine Learning, Pandas (Python Package), Data Science, Statistical Analysis, NumPy, Machine Learning, Probability Distribution
Beginner · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Matplotlib, Data Visualization, Predictive Modeling, Pandas (Python Package), Data Visualization Software, Predictive Analytics, Regression Analysis, Data Analysis, Data Cleansing, Data Science, Machine Learning Algorithms, Statistical Inference, Statistical Modeling, Probability & Statistics, Classification Algorithms, Python Programming
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Debugging, Automation, Python Programming, Data Structures, Programming Principles, Data Import/Export, Scripting, Data Manipulation, File Management, Data Validation, Software Installation
★ 4.5 (8) · Beginner · Course · 3 - 6 Months

Skills you'll gain: Data Storytelling, Pandas (Python Package), Data Analysis, Data-Driven Decision-Making, Exploratory Data Analysis, Analytical Skills, Business Analysis, Data Manipulation, Data Cleansing, Python Programming, Data Import/Export, Promotional Strategies
★ 4.8 (10) · Beginner · Guided Project · Less Than 2 Hours

Coursera
Skills you'll gain: Jupyter, Microsoft Excel, Spreadsheet Software, Project Schedules, Data Import/Export, Data Visualization Software, Python Programming, Email Automation, Data Literacy, Data Structures, Data Manipulation
Intermediate · Guided Project · Less Than 2 Hours