Applied Machine Learning courses can help you learn data preprocessing, model selection, feature engineering, and evaluation metrics. You can build skills in implementing algorithms, optimizing performance, and interpreting results in practical contexts. Many courses introduce tools like Python, TensorFlow, and scikit-learn, that support developing machine learning models and applying AI techniques to solve real-world problems.

Amazon Web Services
Skills you'll gain: Feasibility Studies, Business Analysis, Business Analytics, Decision Making, Strategic Decision-Making, Data-Driven Decision-Making, Machine Learning, Strategic Thinking, Business Leadership, Project Planning
Mixed · Course · 1 - 4 Weeks
Sungkyunkwan University
Skills you'll gain: Data Processing, Data Preprocessing, Portfolio Management, Investment Management, Classification And Regression Tree (CART), Statistical Machine Learning, Investments, Machine Learning Algorithms, Applied Machine Learning, R Programming, Feature Engineering, Machine Learning, Financial Modeling, Model Evaluation, Supervised Learning, Asset Management
Intermediate · Course · 1 - 4 Weeks

Corporate Finance Institute
Skills you'll gain: Model Evaluation, Feature Engineering, Data Science, Data Analysis, Business Analytics, Predictive Analytics, Data-Driven Decision-Making, Regression Analysis, Data Modeling, Statistical Analysis, Business Intelligence, Data Storytelling, Machine Learning, Exploratory Data Analysis, Data Preprocessing, Classification Algorithms
Beginner · Course · 1 - 3 Months

Arizona State University
Skills you'll gain: Learning Strategies, Productivity, Human Learning, Willingness To Learn, Mental Concentration, Creativity, Time Management, Stress Management, Problem Solving, Self-Awareness, Persistence
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Data Preprocessing, AWS SageMaker, Model Evaluation, Model Deployment, Artificial Intelligence and Machine Learning (AI/ML), Amazon Web Services, Predictive Modeling, Machine Learning, Supervised Learning, Data Transformation, Unsupervised Learning, Classification Algorithms
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Shiny (R Package), Rmarkdown, Model Evaluation, Regression Analysis, Exploratory Data Analysis, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Machine Learning Algorithms, Plotly, Interactive Data Visualization, Probability & Statistics, Statistical Machine Learning, Data Presentation, Data Visualization, Statistical Analysis, Statistical Modeling, R Programming, Machine Learning, GitHub
Intermediate · Specialization · 3 - 6 Months

Northeastern University
Skills you'll gain: Data Mining, Health Informatics, Acute Care, Emerging Technologies, Big Data, Health Technology, Analytics, Data Preprocessing, Clinical Informatics, Machine Learning, Health Care, Applied Machine Learning, Artificial Intelligence, Social Determinants Of Health, Home Health Care, Generative AI, Business Process Improvement
Mixed · Course · 1 - 4 Weeks

Imperial College London
Skills you'll gain: Regression Analysis, Calculus, Advanced Mathematics, Machine Learning Algorithms, Linear Algebra, Artificial Neural Networks, Mathematical Modeling, Python Programming, Derivatives
Beginner · Course · 1 - 3 Months

Skills you'll gain: Sampling (Statistics), Data Mining, Statistical Hypothesis Testing, Probability, Linear Algebra, Statistical Analysis, Statistical Inference, Data Analysis, Probability Distribution, Statistics, Machine Learning Algorithms, Machine Learning, Python Programming
Mixed · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Google Cloud Platform, Model Deployment, MLOps (Machine Learning Operations), Tensorflow, Systems Architecture, Performance Tuning, Machine Learning, Model Evaluation, Distributed Computing, Scalability, Hybrid Cloud Computing, Data Pipelines, Data Processing, Debugging
Advanced · Course · 1 - 3 Months

Universidades Anáhuac
Skills you'll gain: Predictive Modeling, Model Evaluation, Time Series Analysis and Forecasting, Statistical Modeling, Data Modeling, Forecasting, Supervised Learning, Regression Analysis, Feature Engineering, Scikit Learn (Machine Learning Library), Data Preprocessing, Unsupervised Learning, Machine Learning, Logistic Regression, Classification Algorithms
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Statistical Methods, Data Preprocessing, Statistical Inference, Statistical Hypothesis Testing, Data Access, Anomaly Detection, Statistical Analysis, Data Analysis, Data Cleansing, Data Manipulation, Machine Learning, Probability & Statistics, Jupyter, Data Import/Export, Pandas (Python Package), Data Transformation, Data Quality
Intermediate · Course · 1 - 3 Months