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: Feature Engineering, Data Ethics, Unsupervised Learning, Dimensionality Reduction, Responsible AI, Text Mining, Data Preprocessing, Data Transformation, MLOps (Machine Learning Operations), Anomaly Detection, Exploratory Data Analysis, Machine Learning Methods, Machine Learning, Model Evaluation, Natural Language Processing, Data Science, Quality Assurance, Data Pipelines, Data Visualization, Python Programming
Advanced · Course · 1 - 4 Weeks

University of Washington
Skills you'll gain: Text Mining, Unstructured Data, Quantitative Research, Data Visualization, Statistical Analysis, Analysis, Social Network Analysis, Data Presentation, Data Analysis, Statistical Methods, Data Mining, Interactive Data Visualization, Analytics, Correlation Analysis, Application Programming Interface (API), R Programming, Regression Analysis, Data Collection, Big Data, Python Programming
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Database Design, Relational Databases, SQL, Databases, R Programming, Database Management, Data Science, Data Modeling, Query Languages, Data Access, Data Manipulation, Data Analysis
Beginner · Course · 1 - 3 Months

Skills you'll gain: Shiny (R Package), User Interface (UI), Data Visualization Software, Interactive Data Visualization, Application Deployment, Web Applications, Front-End Web Development, Data Analysis, Back-End Web Development, Spatial Data Analysis, Web Development, Full-Stack Web Development, Python Programming, Application Development, Development Environment
Intermediate · Course · 1 - 3 Months
University of Michigan
Skills you'll gain: Statistical Methods, Regression Analysis, Plot (Graphics), Data Cleansing, Statistical Hypothesis Testing, Correlation Analysis, Data Preprocessing, Matplotlib, Data Visualization, Statistical Analysis, Scatter Plots, R Programming, Data Analysis, Descriptive Statistics, Pandas (Python Package), Python Programming
Intermediate · Course · 1 - 3 Months

Universidad de los Andes
Skills you'll gain: Data Visualization, Data Ethics, Data Integration, Exploratory Data Analysis, Statistical Hypothesis Testing, Predictive Modeling, Correlation Analysis, Data Quality, Data Science, Jupyter, Data Analysis, Data Preprocessing, Data Transformation, Data Cleansing, Business Analytics, Data Manipulation, Supervised Learning, Regression Analysis, Applied Machine Learning, Model Evaluation
Beginner · Specialization · 1 - 3 Months

Duke University
Skills you'll gain: MLOps (Machine Learning Operations), Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Containerization, Tensorflow, Rust (Programming Language), Microsoft Copilot, DevOps, Hugging Face, Applied Machine Learning, Cloud Solutions, CI/CD, Machine Learning, Serverless Computing, Docker (Software), GitHub, Big Data
Advanced · Course · 1 - 3 Months

Rice University
Skills you'll gain: Computational Thinking, Algorithms, Theoretical Computer Science, Bioinformatics, Data Structures, Big Data, Python Programming, Data Analysis, Machine Learning Algorithms, Unsupervised Learning, Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Professional Networking, Interviewing Skills, Professional Development, Presentations, Data Science, Company, Product, and Service Knowledge, Recruitment, Writing, Business Research, Portfolio Management, Data Analysis, Job Analysis, Problem Solving, Communication, Python Programming
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Generative AI, Data Storytelling, OpenAI, Analytics, Prompt Engineering Tools, Data Analysis, Dashboard, Data Ethics, Responsible AI, Data Visualization Software, Statistical Analysis, Python Programming, Data Cleansing, Data Manipulation, Query Languages
Intermediate · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Natural Language Processing, Transfer Learning, Tensorflow, Google Cloud Platform, Recurrent Neural Networks (RNNs), Embeddings, Deep Learning, AI Workflows, Artificial Neural Networks, Feature Engineering, Model Evaluation
Advanced · Course · 1 - 3 Months

Skills you'll gain: PyTorch (Machine Learning Library), Large Language Modeling, Embeddings, Generative AI, Natural Language Processing, Transfer Learning, Recurrent Neural Networks (RNNs), Data Ethics, Artificial Neural Networks, Classification Algorithms, Model Evaluation, Data Preprocessing, Feature Engineering
Intermediate · Course · 1 - 4 Weeks