IBM Python courses can help you learn data analysis, machine learning, web development, and automation techniques. You can build skills in data visualization, statistical modeling, and developing applications using Python. Many courses introduce tools like Jupyter Notebooks, Pandas, and TensorFlow, that support handling data and implementing AI solutions. By engaging with these resources, you can gain practical experience in coding, data manipulation, and leveraging Python for various applications in technology and business.

Skills you'll gain: Data Presentation, Data Visualization, Plot (Graphics), Statistical Visualization, Data-Driven Decision-Making, Dashboard Creation, Data Ethics, R (Software), Data Science, Data Governance, Advanced Analytics
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: GitHub, Jenkins, Git (Version Control System), Version Control, Selenium (Software), CI/CD, Test Automation, Test Script Development, Test Data, Unit Testing, Test Case, Software Testing, Test Execution Engine, Python Programming
Advanced · Course · 1 - 3 Months

Skills you'll gain: Power BI, Data Analysis Expressions (DAX), Pivot Tables And Charts, Data Manipulation, Interactive Data Visualization, Data Visualization Software, Data Visualization, Data Integration, Dashboard, Role-Based Access Control (RBAC), Data Import/Export, Relational Databases, Security Controls
Intermediate · Course · 3 - 6 Months

Skills you'll gain: GIS Software, Geographic Information Systems, Spatial Data Analysis, Geospatial Information and Technology, Spatial Analysis, Geospatial Mapping, Data Validation, Metadata Management, Data Quality, Verification And Validation, File Management, Package and Software Management, Development Environment, Software Installation
Beginner · Course · 1 - 3 Months
Starweaver
Skills you'll gain: Prompt Engineering, Prompt Engineering Tools, AI Enablement, Application Design, Artificial Intelligence, Test Case, Process Optimization, Performance Tuning, Program Evaluation, Debugging
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Convolutional Neural Networks, Fine-tuning, Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Applied Machine Learning, Tensorflow, Predictive Modeling, Model Optimization, Model Training, Interactive Data Visualization, Time Series Analysis and Forecasting, Model Evaluation
Advanced · Course · 1 - 3 Months

Simplilearn
Skills you'll gain: LLM Application, LangChain, Large Language Modeling, Model Evaluation, Generative AI, Embeddings, Natural Language Processing, Analytical Skills, Benchmarking
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Feature Engineering, Supervised Learning, Exploratory Data Analysis, Classification Algorithms, Machine Learning Algorithms, Applied Machine Learning, Model Deployment, Decision Tree Learning, Logistic Regression, Data Analysis, Data Preprocessing, Pandas (Python Package), NumPy
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Recurrent Neural Networks (RNNs), Time Series Analysis and Forecasting, Natural Language Processing, Deep Learning, Model Training, Artificial Neural Networks, Forecasting, Applied Machine Learning
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Email Automation, Automation, Application Programming Interface (API), Gmail, Data Access, Python Programming, Data Import/Export, Key Management
Intermediate · Course · 1 - 3 Months

Dartmouth College
Skills you'll gain: Simulations, Simulation and Simulation Software, Analytics, Digital Transformation, Complex Problem Solving, Predictive Analytics, Data-Driven Decision-Making, Process Modeling, Verification And Validation, Probability, Process Optimization, Data Integration, Risk Management, Probability Distribution, Python Programming, Event-Driven Programming, Decision Making, Performance Analysis
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Scikit Learn (Machine Learning Library), Data Visualization, Feature Engineering, Data Preprocessing, Model Training, Customer Analysis, Predictive Modeling, Scientific Visualization, Predictive Analytics, Marketing Analytics, Applied Machine Learning, Online Advertising, Data-Driven Marketing, Logistic Regression, Data Cleansing, Data Manipulation, Machine Learning, Python Programming, Deep Learning
Beginner · Guided Project · Less Than 2 Hours