IBM courses can help you learn data analysis, cloud computing, artificial intelligence, and machine learning. You can build skills in programming with Python, utilizing SQL for database management, and implementing AI models for real-world applications. Many courses introduce tools like IBM Watson for AI development, IBM Cloud for scalable solutions, and various data visualization software, providing practical experience in leveraging technology to solve complex problems.

Skills you'll gain: Keras (Neural Network Library), Deep Learning, PyTorch (Machine Learning Library), Computer Vision, Machine Learning, Data Transformation, Python Programming
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Model Deployment, Data Preprocessing, Model Optimization, Model Evaluation, Data Transformation, Model Training, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Exploratory Data Analysis, Machine Learning Methods, Machine Learning, Scikit Learn (Machine Learning Library), Data Science, IBM Cloud, Python Programming
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Tensorflow, Model Training, Supervised Learning, Model Optimization, Artificial Neural Networks, Regression Analysis, Applied Machine Learning, Statistical Machine Learning, Machine Learning Algorithms, Deep Learning, Image Analysis, Machine Learning, Random Forest Algorithm, AI Workflows, Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Data Science, Python Programming
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Applied Machine Learning, Data Preprocessing, Text Mining, Machine Learning, Big Data, Model Evaluation, Performance Metric
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Data Governance, Data Management, Data Modeling, Data Quality, Data Integration, Metadata Management, Data Transformation, Data-Driven Decision-Making, Taxonomy, Data Pipelines, Business Process Automation, IT Automation
Beginner · Course · 1 - 3 Months

Skills you'll gain: Keras (Neural Network Library), Convolutional Neural Networks, Reinforcement Learning, Deep Learning, Model Optimization, Autoencoders, Generative AI, Unsupervised Learning, Tensorflow, Generative Adversarial Networks (GANs), Generative Model Architectures, Transfer Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Time Series Analysis and Forecasting
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Data Storytelling, Strategic Thinking, Digital Transformation, Business Strategy, Cloud Infrastructure, Responsible AI, Data Wrangling, Competitive Analysis, Cloud Platforms, Data Presentation, Cloud Computing, Cloud Computing Architecture, Business Transformation, Business Strategies, Cloud Services, Cloud Development, Cloud Deployment, Machine Learning Methods, Big Data, Data Science
Beginner · Specialization · 3 - 6 Months

Sage Publications
Skills you'll gain: Statistical Reporting, Plot (Graphics), SPSS, Data Visualization, Correlation Analysis, Statistical Visualization, Descriptive Statistics, Regression Analysis, Research Reports, Report Writing, Histogram, Social Sciences, Political Sciences, Data Entry, Data Visualization Software, Scatter Plots, Statistical Inference, Data Analysis, International Relations, IBM Cloud
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Model Deployment, Apache Spark, Data Pipelines, PySpark, Model Training, Applied Machine Learning, Model Optimization, Machine Learning Algorithms, Docker (Software), Machine Learning, Data Science, Python Programming, Design Thinking
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Data Presentation, Probability Distribution, Statistical Hypothesis Testing, Data Visualization Software, Dashboard Creation, Dashboard, Data Analysis, Data Science, Probability & Statistics, Statistical Methods, Statistical Analysis, Jupyter, Matplotlib, Data Preprocessing, Data Cleansing, Pandas (Python Package), Statistical Inference, Python Programming, Machine Learning
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Data Ethics, Unsupervised Learning, Dimensionality Reduction, Responsible AI, Text Mining, Data Preprocessing, Data Transformation, Anomaly Detection, Exploratory Data Analysis, Machine Learning, Scikit Learn (Machine Learning Library), Natural Language Processing, Data Science, Quality Assurance, Data Pipelines, Machine Learning Algorithms, Classification Algorithms, Design Thinking, Python Programming
Advanced · Course · 1 - 4 Weeks

Intermediate · Course · 1 - 3 Months