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.

University of Toronto
Skills you'll gain: Traffic Flow Optimization, Machine Controls, Automation, Robotics, Graph Theory, Algorithms, Computer Vision, Mathematical Modeling, Data Mapping, Predictive Modeling, Data Structures, Spatial Data Analysis, Control Systems, Estimation, Applied Mathematics
Advanced · Course · 1 - 3 Months

Skills you'll gain: Generative AI, Cloud Deployment, Artificial Intelligence, Data-Driven Decision-Making, Computer Programming
Beginner · Course · 1 - 3 Months

Yonsei University
Skills you'll gain: Apache Spark, Big Data, SPSS, Analytics, Real Time Data, Apache Hadoop, Data Processing, Business Analytics, Statistical Analysis, Data Analysis Software, Business Strategy, Market Share, Distributed Computing, Scalability
Beginner · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Predictive Modeling, Machine Learning, Supervised Learning, Applied Machine Learning, Data Science, Artificial Intelligence, Deep Learning, Classification Algorithms, Unsupervised Learning, Regression Analysis, Reinforcement Learning
Beginner · Course · 1 - 4 Weeks

Wesleyan University
Skills you'll gain: Regression Analysis, Logistic Regression, Statistical Methods, Statistical Analysis, Statistical Modeling, Data Analysis, Correlation Analysis, Analysis, SAS (Software), Scatter Plots, Predictive Modeling, Model Evaluation, Data Manipulation, Python Programming
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Data Warehousing, MongoDB, IBM Cognos Analytics, Extract, Transform, Load, NoSQL, Apache Spark, IBM DB2, Big Data, Dashboard, Business Intelligence, PySpark, Data Pipelines, Analytics, Databases, Database Design, Data Architecture, Apache Airflow, Relational Databases, SQL, Python Programming
Advanced · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Tensorflow, Supervised Learning, Artificial Neural Networks, Regression Analysis, Machine Learning Methods, Applied Machine Learning, Machine Learning Algorithms, Deep Learning, Image Analysis, Machine Learning, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Convolutional Neural Networks, Computer Vision, Data Science, Python Programming
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Transfer Learning, Model Evaluation, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, PyTorch (Machine Learning Library), Convolutional Neural Networks, Data Preprocessing, Model Deployment, Computer Vision, Geospatial Information and Technology, Machine Learning, Data Pipelines, Python Programming
Advanced · Course · 1 - 4 Weeks
LearnQuest
Skills you'll gain: Containerization, File I/O, Package and Software Management, Unified Modeling Language, Matplotlib, Software Testing, Docker (Software), Development Environment, Unit Testing, Test Automation, Continuous Integration, Data Manipulation, Pandas (Python Package), Scripting, Data Modeling, DevOps, Programming Principles, Python Programming, Data Structures, Computer Programming
Beginner · Specialization · 3 - 6 Months

Duke University
Skills you'll gain: Debugging, Algorithms, Problem Solving, Data Processing, Python Programming, Software Development, Data Analysis
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Ggplot2, Data Visualization Software, Data Visualization, Statistical Visualization, Rmarkdown, Shiny (R Package), Dashboard, Leaflet (Software), Interactive Data Visualization, R Programming, Scatter Plots, Box Plots, Spatial Data Analysis, Histogram, Data Science, Data Analysis, User Interface (UI), UI Components
Beginner · Course · 1 - 4 Weeks

Ludwig-Maximilians-Universität München (LMU)
Skills you'll gain: Finite Element Methods, Numerical Analysis, Engineering Analysis, Jupyter, Engineering Calculations, Differential Equations, Applied Mathematics, Mathematical Modeling, Distributed Computing, Python Programming, Mechanics, Vibrations, Simulations
Intermediate · Course · 1 - 3 Months