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: System Monitoring, Data Quality, Performance Tuning, Apache Spark, Data Validation, Data Pipelines, Query Languages, Debugging, Data Transformation, Anomaly Detection, PySpark, Performance Analysis, Extract, Transform, Load, Failure Analysis, SQL, Data Architecture, Data Processing, Benchmarking, Root Cause Analysis, Distributed Computing
Advanced · Specialization · 3 - 6 Months

Erasmus University Rotterdam
Skills you'll gain: Econometrics, Time Series Analysis and Forecasting, Regression Analysis, Logistic Regression, Statistical Methods, Data Analysis, Economics, Trend Analysis, Statistical Analysis, Statistical Modeling, Statistics, Predictive Analytics, Case Studies, Forecasting, Statistical Inference, Estimation, Model Evaluation, Statistical Hypothesis Testing, Probability, Linear Algebra
★ 4.6 (1.2K) · Mixed · Course · 1 - 3 Months

Skills you'll gain: Agentic Workflows, Tableau Software, Data Governance, Collaborative Software, Agentic systems, Data Architecture, Enterprise Architecture, Governance, Analytics, Data Access, Security Controls, Dashboard, Role-Based Access Control (RBAC), Cloud Services, Trend Analysis, Customer Insights, Artificial Intelligence, Performance Management, Application Lifecycle Management, Business Metrics
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI
★ 4.7 (7.9K) · Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Email Marketing, Data Cleansing, Performance Analysis, Performance Measurement, Cleanliness, Key Performance Indicators (KPIs), Performance Improvement, Marketing Effectiveness, Data Quality, Data Maintenance, Data Validation
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: AI Security, AI literacy, Social Impact, Generative AI, Analysis, Critical Thinking, Data Security
★ 4.8 (1.9K) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Storytelling, Presentations, Rmarkdown, Data Presentation, Data Cleansing, Data Visualization, Ggplot2, Data Validation, Spreadsheet Software, Data Visualization Software, Data Ethics, Data Analysis, Interactive Data Visualization, Data-Driven Decision-Making, Tableau Software, Data Processing, Dashboard, Business Analysis, Stakeholder Communications, File Management
★ 4.8 (12K) · Beginner · Professional Certificate · 3 - 6 Months

Coursera
Skills you'll gain: Data Maintenance, Dataflow, Dependency Analysis
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Decision Tree Learning, Applied Machine Learning, Supervised Learning, Advanced Analytics, Statistical Machine Learning, Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Analytics, Model Training, Random Forest Algorithm, Model Optimization, Predictive Modeling, Model Evaluation, Python Programming, Performance Tuning, Classification Algorithms
★ 4.8 (617) · Advanced · Course · 1 - 3 Months

Coursera
Skills you'll gain: Spatial Data Analysis, GIS Software, Geographic Information Systems, Spatial Analysis, Query Languages, SQL, Geospatial Information and Technology, PostgreSQL, Database Development, Performance Tuning
Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Spatial Data Analysis, Spatial Analysis, Geographic Information Systems, GIS Software, Geospatial Mapping, Geospatial Information and Technology, Geostatistics, Data Validation, Data Transformation, Data Mapping, Verification And Validation, Geometric Dimensioning And Tolerancing
Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Business Metrics, Model Training, Feature Engineering, Predictive Modeling, Random Forest Algorithm, Supervised Learning, Scikit Learn (Machine Learning Library), Performance Metric, Machine Learning Algorithms, Regression Analysis, Continuous Monitoring, Statistical Methods
Intermediate · Course · 1 - 4 Weeks