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.

DeepLearning.AI
Skills you'll gain: Tensorflow, Deep Learning, Performance Tuning, Machine Learning Methods, Data Preprocessing, Artificial Neural Networks, Model Evaluation, Verification And Validation
Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Transfer Learning, Deep Learning, Applied Machine Learning, Machine Learning, MLOps (Machine Learning Operations), Debugging, AI Product Strategy, Model Evaluation, Data-Driven Decision-Making, Performance Tuning
Beginner · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Cloud Deployment, Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Hugging Face, Responsible AI, Data Manipulation, Exploratory Data Analysis, Containerization, DevOps, Cloud Computing, Python Programming, Machine Learning, GitHub, Big Data, Data Management, Data Analysis
Advanced · Specialization · 3 - 6 Months

Arizona State University
Skills you'll gain: Experimentation, Research Design, Statistical Modeling, Statistical Methods, Applied Machine Learning, Supervised Learning, Logistic Regression, Predictive Modeling, Statistical Programming, Statistical Analysis, Statistical Inference, Simulation and Simulation Software, Probability & Statistics, Data Science, Data Visualization, Simulations, Data Analysis, Data Analysis Software
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Minitab, Predictive Analytics, Statistical Visualization, Data Visualization Software, Statistical Analysis, Data-Driven Decision-Making, Descriptive Statistics, Data Analysis, Regression Analysis, Data Manipulation
Beginner · Course · 1 - 4 Weeks

University of Washington
Skills you'll gain: Regression Analysis, Model Evaluation, Predictive Modeling, Supervised Learning, Statistical Modeling, Feature Engineering, Machine Learning, Data Preprocessing, Python Programming, Algorithms
Mixed · Course · 1 - 3 Months

Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Model Evaluation, Machine Learning Software, Workflow Management, Predictive Modeling, Business Process, Governance Risk Management and Compliance, Continuous Monitoring, SAS (Software), Text Mining, R Programming, Scheduling
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Scalability, Application Design, Event-Driven Programming, Object Oriented Programming (OOP), Functional Design, Application Development, User Flows, Computer Programming, Integrated Development Environments, Software Architecture, Debugging, Mobile Development, Data Validation, Data Analysis
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Gemini, Google Workspace, Productivity Software, Generative AI, AI Enablement, AI Workflows, Prompt Engineering, Responsible AI, Operational Efficiency, Business Workflow Analysis, Human Factors, Complex Problem Solving
Beginner · Course · 1 - 3 Months

Skills you'll gain: AI Security, Workplace inclusivity, Social Impact, Generative AI, Analysis, Critical Thinking, Data Security
Beginner · Course · 1 - 4 Weeks

Logical Operations
Skills you'll gain: Tableau Software, Data Visualization Software, Data Storytelling, Data Analysis, Report Writing, Spreadsheet Software, Data Visualization, Dashboard, Trend Analysis, Interactive Data Visualization, Data Presentation, Microsoft Excel, Statistical Analysis, Predictive Analytics, Data Transformation, Microsoft Office, Microsoft PowerPoint, Productivity Software, Forecasting, Data Management
Beginner · Specialization · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Cloud Deployment, Continuous Deployment, Model Evaluation, Data Preprocessing, Machine Learning, Applied Machine Learning, Data Validation, Feature Engineering, Data Quality, Debugging, Continuous Monitoring, Data Pipelines
Intermediate · Course · 1 - 4 Weeks