Material science courses can help you learn about the properties of materials, material selection, nanotechnology, and the principles of thermodynamics. You can build skills in analyzing material behavior, conducting experiments, and applying statistical methods to interpret data. Many courses introduce tools such as scanning electron microscopes, X-ray diffraction, and software for modeling material properties, that support practical applications in industries like aerospace, electronics, and biomedical engineering.

Wesleyan University
Skills you'll gain: Regression Analysis, Data Storytelling, Logistic Regression, Classification And Regression Tree (CART), Statistical Hypothesis Testing, Descriptive Statistics, Statistical Analysis, Statistical Software, Correlation Analysis, Exploratory Data Analysis, Data Manipulation, Decision Tree Learning, Data Presentation, Data Management, Data Analysis, Data Visualization, Model Evaluation, Statistical Methods, Machine Learning, Statistics
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Model Deployment, Transfer Learning, Keras (Neural Network Library), Deep Learning, Applied Machine Learning, Tensorflow, PyTorch (Machine Learning Library), Convolutional Neural Networks, Artificial Neural Networks, Machine Learning Methods, Application Frameworks, Model Evaluation, Performance Tuning
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Algorithms, Systems Analysis, Resource Utilization, Scalability
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Recurrent Neural Networks (RNNs), Model Evaluation, Supervised Learning, Feature Engineering, Transfer Learning, NumPy, Matplotlib, Convolutional Neural Networks, Statistical Methods, Deep Learning, Applied Machine Learning, Data Visualization, Keras (Neural Network Library), Python Programming, Pandas (Python Package), Seaborn, Applied Mathematics, Machine Learning, Machine Learning Algorithms, Tensorflow
Intermediate · Specialization · 3 - 6 Months

Coursera
Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Business Metrics, Feature Engineering, Predictive Modeling, Random Forest Algorithm, Supervised Learning, Machine Learning Methods, Scikit Learn (Machine Learning Library), Data Preprocessing, Applied Machine Learning, Classification And Regression Tree (CART), Performance Metric, Regression Analysis, Continuous Monitoring, Statistical Methods, Statistical Hypothesis Testing, Algorithms
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Sampling (Statistics), SAS (Software), Data Integration, Statistical Programming, Statistical Methods, Data Manipulation, Data Processing, Data Management, SQL, Data Transformation, Data Governance, Transaction Processing, Version Control, Data Structures, File Management
Intermediate · Course · 1 - 3 Months

Northeastern University
Skills you'll gain: Depreciation, Risk Analysis, Actuarial Science, Portfolio Risk, Value Engineering, Cost Benefit Analysis, Strategic Decision-Making, Decision Tree Learning, Operational Analysis, Financial Analysis, Capital Budgeting, Tax Management, Decision Making, Analysis, Data-Driven Decision-Making, Capital Expenditure, Feasibility Studies, Estimation, Income Tax, Economics
Mixed · Course · 1 - 3 Months

Skills you'll gain: Supervised Learning, Feature Engineering, Applied Machine Learning, Unsupervised Learning, Model Evaluation, Machine Learning Algorithms, Predictive Modeling, Data Preprocessing, Classification Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Dimensionality Reduction, Performance Tuning
Advanced · Course · 1 - 3 Months

Packt
Skills you'll gain: Model Deployment, Model Evaluation, Unsupervised Learning, Transfer Learning, Tensorflow, Keras (Neural Network Library), Dimensionality Reduction, Deep Learning, Recurrent Neural Networks (RNNs), Applied Machine Learning, BeeAI, Data Preprocessing, Convolutional Neural Networks, PyTorch (Machine Learning Library), Responsible AI, Python Programming, Agentic systems, Artificial Intelligence, Artificial Neural Networks, Feature Engineering
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: SQL, SAS (Software), Stored Procedure, Metadata Management, Data Integrity, Query Languages, Relational Databases, Data Manipulation, Data Analysis Software, Data Transformation, Data-Driven Decision-Making, Performance Tuning, Data Governance, Scripting, Debugging, Data Wrangling, Database Management, Data Analysis, Computational Logic, Data Management
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Virtual Reality, UI Components
Intermediate · Course · 3 - 6 Months

Skills you'll gain: Model Evaluation, Data Preprocessing, Predictive Modeling, Exploratory Data Analysis, R Programming, Customer Analysis, Predictive Analytics, Data Analysis, Data-Driven Decision-Making, Statistical Modeling, R (Software), Feature Engineering, Applied Machine Learning, Logistic Regression, Data Transformation, Business Analytics, Decision Tree Learning
Beginner · Course · 1 - 4 Weeks