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.

Universidades Anáhuac
Skills you'll gain: Data Cleansing, Database Management, SQL, Databases, Data Visualization Software, Pandas (Python Package), Data Science, Jupyter, Data Manipulation, Web Scraping, Data Processing, Data Collection, Python Programming, Matplotlib, Machine Learning
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data Manipulation, NumPy, Data Analysis, Python Programming, Regression Analysis, Predictive Modeling, Machine Learning, Classification And Regression Tree (CART), Data Science, Statistical Hypothesis Testing, Supervised Learning, Statistical Methods, Programming Principles, Data Structures
Beginner · Course · 1 - 4 Weeks

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

Skills you'll gain: Matplotlib, Seaborn, Plot (Graphics), Scatter Plots, Histogram, Data Visualization, Data Visualization Software, Statistical Visualization, Data Analysis, Python Programming
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Data Storytelling, Data Visualization, Matplotlib, Plotly, Seaborn, Exploratory Data Analysis
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, Data Manipulation, Big Data, Performance Tuning, Python Programming
Beginner · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Matplotlib, Plotly, Data Visualization Software, Seaborn, Data Visualization, Statistical Visualization, Interactive Data Visualization, Scatter Plots, Box Plots, Heat Maps, Histogram
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Matplotlib, Linear Algebra, NumPy, Scientific Visualization, Machine Learning Algorithms, Pandas (Python Package), Seaborn, Data Science, Machine Learning, Data Analysis, Supervised Learning, Python Programming, Scikit Learn (Machine Learning Library), Jupyter, Data Manipulation, Regression Analysis, Data Structures, Software Installation
Beginner · Course · 1 - 3 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
Beginner · Guided Project · Less Than 2 Hours

University of Michigan
Skills you'll gain: ChatGPT, Machine Learning Methods, Data Mining, Python Programming, Machine Learning Algorithms, Data Manipulation
Advanced · Course · 1 - 4 Weeks

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

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