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.

Skills you'll gain: Epic EMR, Health Informatics, Data Mapping, Clinical Informatics, Clinical Data Management, Data Dictionary, Electronic Data Capture (EDC), Health Information Management, Data Analysis, Patient-centered Care, Electronic Medical Record, Extract, Transform, Load, Data Transformation, Data Integrity, Data Quality, Data Validation, Data Collection, Data Access
Beginner · Course · 1 - 4 Weeks

LearnKartS
Skills you'll gain: Generative AI, Recurrent Neural Networks (RNNs), Tensorflow, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Machine Learning
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Star Schema, Snowflake Schema, Data Warehousing, CI/CD, Database Design, Transact-SQL, Data Pipelines, Extract, Transform, Load, Data Architecture, Data Modeling, Data Transformation, Data Integration, Microsoft Azure, Dataflow, Git (Version Control System), Performance Tuning
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Software Design Patterns, Code Review, System Design and Implementation, C and C++
Intermediate · Course · 3 - 6 Months

Skills you'll gain: Model Evaluation, Predictive Analytics, MLOps (Machine Learning Operations), Verification And Validation, Performance Analysis, Data Preprocessing, Image Analysis, Computer Vision, Data Quality, Data Transformation, Data Cleansing, Model Deployment, Applied Machine Learning, Failure Analysis, Data Pipelines, Tensorflow, Deep Learning, PyTorch (Machine Learning Library), Docker (Software), Python Programming
Intermediate · Specialization · 1 - 3 Months

Logical Operations
Skills you'll gain: Object Oriented Programming (OOP), Programming Principles, Computer Programming, Python Programming, Scripting, Scripting Languages, Software Development
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Matplotlib, NumPy, Pandas (Python Package), Model Evaluation, Data Preprocessing, Regression Analysis, Scikit Learn (Machine Learning Library), Data Manipulation, Machine Learning, Feature Engineering, Exploratory Data Analysis, Applied Machine Learning, Supervised Learning, Python Programming
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: SPSS (Software), Statistical Analysis, Data Manipulation, Data Visualization Software, Data Analysis, End User Training and Support, Exploratory Data Analysis, Data Import/Export, Descriptive Statistics, Graphing
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: AutoCAD, Technical Drawing, Engineering Drawings, Computer-Aided Design, Architectural Drawing, Drafting and Engineering Design, User Interface (UI)
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Apache Maven, Java Programming, Java, Build Tools, Eclipse (Software), Database Application, Full-Stack Web Development, CI/CD, Web Applications, Application Servers, Software Configuration Management, Continuous Integration, Application Development, Business Logic, UI Components, Integrated Development Environments, Role-Based Access Control (RBAC), Automation, Software Design Patterns, Program Development
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Fraud detection, Anomaly Detection, R Programming, Credit Risk, Applied Machine Learning, Analytical Skills, Machine Learning Methods, Threat Detection, Unsupervised Learning, Risk Analysis, Advanced Analytics, Analytics, Predictive Analytics, Data-Driven Decision-Making, Supervised Learning, Big Data
Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Data Ethics, Responsible AI, Technical Communication, Stakeholder Communications, Model Evaluation, Data Preprocessing, Diversity Awareness, Analytical Skills, Data-Driven Decision-Making, Sampling (Statistics), Statistical Analysis
Intermediate · Course · 1 - 4 Weeks