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.

Fractal Analytics
Skills you'll gain: Feature Engineering, Data Wrangling, Exploratory Data Analysis, Matplotlib, Statistical Analysis, Plot (Graphics), Data Preprocessing, Statistical Methods, Seaborn, Data Science, Data Visualization Software, Data Manipulation, Data Processing, Data Cleansing, Data Analysis, Probability & Statistics, Data Transformation, Descriptive Statistics, Correlation Analysis, Statistical Hypothesis Testing
Beginner · Course · 1 - 3 Months

Duke University
Skills you'll gain: Cloud Deployment, Cloud-Native Computing, Cloud Platforms, Application Deployment, Microservices, Cloud Computing, DevOps, Kubernetes, Cloud Management, Continuous Delivery, Containerization, Amazon Web Services, Serverless Computing, Virtual Machines, Performance Testing, Virtualization and Virtual Machines, System Monitoring, Flask (Web Framework), Performance Stress Testing, Continuous Monitoring
Beginner · Course · 1 - 4 Weeks
Skills you'll gain: Performance Tuning, Django (Web Framework), Authentications, Object-Relational Mapping, Cloud Hosting, User Accounts, Development Environment, Application Security, Python Programming
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, LLM Application, User Interface (UI), Embeddings, Large Language Modeling, UI Components, Performance Tuning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Graph Theory, Data Structures, Algorithms, Computer Programming, Python Programming, Programming Principles, Computational Thinking, Data Science, Theoretical Computer Science, Model Optimization, Data Processing, Geometry, Data Analysis Expressions (DAX), Data Manipulation, Data Analysis, Data Management, Applied Mathematics
Intermediate · Specialization · 3 - 6 Months

University of Michigan
Skills you'll gain: C (Programming Language), Python Programming, Programming Principles, Computer Programming, Unix
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Code Reusability, Python Programming, Computer Programming, Programming Principles, Software Development
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Prompt Engineering, OpenAI API, Education Software and Technology, Generative AI, AI Integrations, OpenAI, Scripting, Scripting Languages, Python Programming, Application Programming Interface (API), Application Development, Machine Learning, Software Engineering
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Plot (Graphics), File I/O, Scripting
Intermediate · Course · 3 - 6 Months
University of Michigan
Skills you'll gain: Programming Principles, Computer Programming, Python Programming, Program Development, Software Installation, Computational Logic, Development Environment
Mixed · Course · 1 - 3 Months

Universidad Nacional Autónoma de México
Skills you'll gain: Exploratory Data Analysis, Matplotlib, Pandas (Python Package), Data Visualization, Extract, Transform, Load, Plot (Graphics), Data Analysis, NumPy, Data Visualization Software, Package and Software Management, Time Series Analysis and Forecasting, Data Science, Analysis, Jupyter, Graphing, Data Wrangling, Software Installation, Python Programming, Computational Thinking, Mac OS
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Transfer Learning, Fine-tuning, Tensorflow, Natural Language Processing, Keras (Neural Network Library), Embeddings, Model Training, Deep Learning, Classification Algorithms, Model Evaluation, Machine Learning, Software Visualization
Intermediate · Guided Project · Less Than 2 Hours