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.

Pontificia Universidad Católica de Chile
Skills you'll gain: Thermal Management, Plot (Graphics), Engineering Analysis, HVAC, Simulations, Engineering Calculations, Visualization (Computer Graphics), Python Programming, NumPy
Intermediate · Course · 1 - 3 Months
Duke University
Skills you'll gain: Predictive Modeling, Microsoft Excel, Classification Algorithms, Business Analytics, Logistic Regression, Data Analysis, Model Evaluation, Business Risk Management
Beginner · Course · 1 - 3 Months

Erasmus University Rotterdam
Skills you'll gain: Scientific Methods, Surveys, Research, Research Methodologies, Data Collection, Research Design, Data Analysis, Qualitative Research, Statistical Analysis, Social Sciences, Case Studies
Mixed · Course · 1 - 3 Months
University of Michigan
Skills you'll gain: SQL, Database Management, Relational Databases, Databases, Database Design, Data Visualization, Web Scraping, Interactive Data Visualization, Data Processing, Object Oriented Programming (OOP), Data Modeling, Geospatial Mapping, Python Programming, Web Development, Data Collection
Mixed · Course · 1 - 3 Months

University of Maryland, College Park
Skills you'll gain: Sampling (Statistics), Sample Size Determination, Survey Creation, Data Collection, Statistical Analysis, Data Analysis Software, Interviewing Skills, Surveys, Research Design, STATA (Software), Data Integration, Data Validation, Data Ethics, Data Analysis, Stata, Data Quality, Statistical Modeling, Qualitative Research, Data Cleansing, R Programming
Beginner · Specialization · 3 - 6 Months

University of Maryland, College Park
Skills you'll gain: Sampling (Statistics), Data Cleansing, Statistical Software, Data Transformation, Data Quality, Statistical Analysis, STATA (Software), Statistical Methods, R (Software), Statistical Modeling, R Programming, Regression Analysis, Data Analysis
Mixed · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Convolutional Neural Networks, Keras (Neural Network Library), Image Analysis, Data Preprocessing, Deep Learning, Computer Vision, Tensorflow, Python Programming, Cloud Computing, Development Environment
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Spatial Data Analysis, Robotics, Artificial Intelligence, Data Manipulation, Simulations, NumPy
Advanced · Guided Project · Less Than 2 Hours

Logical Operations
Skills you'll gain: R (Software), Data Processing, R Programming, Data Manipulation, Data Structures, Statistical Programming, Data Analysis, Data Analysis Software, Software Installation, Data Science, Development Environment, Computer Programming, Computer Programming Tools, Software Development
Mixed · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Spatial Data Analysis, Data Visualization Software, Data Visualization, Geospatial Mapping, Geospatial Information and Technology, Interactive Data Visualization, Scatter Plots, Software Installation, Python Programming
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Communication, Critical Thinking, Problem Solving, Interpersonal Communications, Computer Programming, Computer Science, Programming Principles, Planning, Algorithms, Data Structures, Stress Management, Adaptability
Beginner · Course · 1 - 4 Weeks

Korea Advanced Institute of Science and Technology(KAIST)
Skills you'll gain: Integral Calculus, Calculus, Advanced Mathematics, Applied Mathematics, Materials science, Engineering Analysis, Mathematical Modeling, Differential Equations, Derivatives
Intermediate · Course · 1 - 4 Weeks