C programming courses can help you learn syntax, data structures, algorithms, and memory management. You can build skills in debugging, optimizing code, and implementing efficient algorithms. Many courses introduce tools like GCC for compiling code, GDB for debugging, and libraries such as the Standard Template Library (STL) to enhance functionality. You'll also explore concepts like pointers, file handling, and dynamic memory allocation, which are crucial for developing robust applications.

Skills you'll gain: File I/O, Object Oriented Programming (OOP), C++ (Programming Language), Data Structures, Object Oriented Design, Software Design Patterns, Programming Principles, Data Persistence, Algorithms, Simulations
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Embedded Systems, Tensorflow, Data Preprocessing, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Machine Learning Algorithms, Convolutional Neural Networks, Computer Vision, Deep Learning, Image Analysis, Machine Learning, Model Deployment, Model Evaluation, Performance Tuning
Intermediate · Course · 1 - 3 Months

Skills you'll gain: PyTorch (Machine Learning Library), Natural Language Processing, Generative Adversarial Networks (GANs), Transfer Learning, Vision Transformer (ViT), Deep Learning, Unsupervised Learning, Embeddings, Convolutional Neural Networks, Applied Machine Learning, Supervised Learning, Model Evaluation, Model Deployment, Flask (Web Framework)
Intermediate · Course · 1 - 3 Months

Coursera
Skills you'll gain: Financial Modeling, Descriptive Statistics, Data Literacy, Financial Forecasting, Reconciliation, Financial Analysis, A/B Testing, Portfolio Risk, Model Evaluation, Data Cleansing, Decision Tree Learning, Regression Analysis, Exploratory Data Analysis, Predictive Modeling, Data Analysis, Risk Analysis, Risk Management, R Programming, Statistical Analysis, Machine Learning
Intermediate · Specialization · 3 - 6 Months

University of Minnesota
Skills you'll gain: Social Determinants Of Health, Health Disparities, Health Equity, Health Policy, Systems Thinking, Health Informatics, Public Health, Community Health, Social Impact, Data Analysis, R Programming, Data Visualization, Data-Driven Decision-Making
Beginner · Course · 1 - 3 Months

Skills you'll gain: Java Platform Enterprise Edition (J2EE), Object-Relational Mapping, Java, Application Servers, Middleware, Application Deployment, Data Persistence, Event-Driven Programming, Enterprise Application Management, Server Side, Context Management, Business Logic
Intermediate · Course · 1 - 4 Weeks

Illinois Tech
Skills you'll gain: Statistical Inference, Regression Analysis, R Programming, Statistical Analysis, Statistical Modeling, R (Software), Data Science, Logistic Regression, Data Analysis, Probability & Statistics, Linear Algebra
Build toward a degree
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Regression Analysis, Exploratory Data Analysis, Model Evaluation, Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Machine Learning, Data Preprocessing, Deep Learning, Statistical Analysis, Data Analysis, Artificial Neural Networks, Data Import/Export, Matplotlib, Python Programming
Beginner · Guided Project · Less Than 2 Hours

Coursera
Skills you'll gain: Cascading Style Sheets (CSS), Responsive Web Design, Browser Compatibility, Hypertext Markup Language (HTML), Web Development Tools, Web Design, Web Development
Intermediate · Guided Project · Less Than 2 Hours

Tecnológico de Monterrey
Skills you'll gain: Pandas (Python Package), Exploratory Data Analysis, Data Visualization Software, Data Manipulation, Data Analysis, Data Transformation, Python Programming, Data Structures, Data Import/Export, Software Installation
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Pandas (Python Package), Data Manipulation, Jupyter, Exploratory Data Analysis, Python Programming, Computational Logic
Beginner · Guided Project · Less Than 2 Hours

Alberta Machine Intelligence Institute
Skills you'll gain: Responsible AI, Data Ethics, MLOps (Machine Learning Operations), Model Deployment, Business Operations, Machine Learning, Ethical Standards And Conduct, Operational Analysis, Applied Machine Learning, Business Strategy, AI Enablement, AI Product Strategy, Model Evaluation, Data Maintenance, Performance Tuning, Risk Mitigation, Performance Metric, Continuous Monitoring, Systems Integration, Stakeholder Communications
Mixed · Course · 1 - 4 Weeks