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: Matplotlib, Histogram, Plot (Graphics), Data Visualization, Seaborn, Scatter Plots, Data Visualization Software, Statistical Visualization, Graphing, Python Programming
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

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
Beginner · Guided Project · Less Than 2 Hours

Duke University
Skills you'll gain: Python Programming, Simulations, Debugging, Pandas (Python Package), Program Development, Unit Testing, Test Case, Data Science, Software Design, Computational Thinking, Integration Testing, Computer Programming, Object Oriented Programming (OOP), Data Manipulation, Software Development
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Matplotlib, NumPy, Data Visualization, Data Manipulation, Linear Algebra, Seaborn, Natural Language Processing, Deep Learning, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Data Preprocessing, Data Science, Regression Analysis, Data Structures, Logistic Regression
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Deployment, Data Preprocessing, Applied Machine Learning, Machine Learning Methods, Machine Learning, Predictive Modeling, Feature Engineering, Data Pipelines, Data Transformation, Data Science, Python Programming, Regression Analysis
Intermediate · Guided Project · Less Than 2 Hours

University of London
Skills you'll gain: Data Visualization, Matplotlib, Probability & Statistics, Data Science, Unsupervised Learning, Statistics, NumPy, Python Programming, Pandas (Python Package), Data Analysis, Machine Learning Algorithms, Descriptive Statistics, Machine Learning, Data Manipulation
Beginner · Course · 1 - 3 Months

Duke University
Skills you'll gain: PySpark, Databricks, Data Pipelines, Apache Spark, MLOps (Machine Learning Operations), Apache Hadoop, Big Data, Data Warehousing, Data Quality, Data Integration, Data Processing, Database Architecture and Administration, DevOps, Distributed Computing, Data Transformation, SQL, Python Programming
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Scatter Plots, Data Analysis, Correlation Analysis, Box Plots, Pandas (Python Package), Data Visualization, Histogram, Statistical Analysis, Python Programming, Software Installation
Intermediate · Guided Project · Less Than 2 Hours

University of London
Skills you'll gain: Pandas (Python Package), NumPy, Probability & Statistics, Unsupervised Learning, Statistics, Data Analysis, Statistical Analysis, Jupyter, Data Manipulation, Machine Learning Algorithms, Descriptive Statistics, Matplotlib, Data Visualization Software, Python Programming, Machine Learning, Data Preprocessing
Beginner · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: Debugging, Data Analysis, Data Preprocessing, Numerical Analysis, Critical Thinking
Intermediate · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Statistical Inference, Bayesian Statistics, Probability & Statistics, Statistical Analysis, Sampling (Statistics), Jupyter, Python Programming, Matplotlib, NumPy
Intermediate · Course · 1 - 4 Weeks